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hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n About The Team \n The Global KYC and Onboarding Squad is improving Wise's KYC and onboarding experience by reducing three things at the same time: \n\n • \n Financial crime risk, by making reviews, controls, and decisioning more effective. \n • \n Operational cost, by automating repeatable work and improving how agents handle complex cases. \n • \n Customer friction, by making verification clearer, faster, and easier to complete. \n\n Business Onboarding Verification focuses on business customers. Businesses are not simple identity objects: they are legal entities connected to directors, shareholders, UBOs, authorised signatories, employees, documents, registry data, vendor data, ownership structures, risk signals, and market-specific requirements. \n That makes KYB one of Wise's most complex verification domains. It is also one of the biggest opportunities to improve customer experience, reduce manual work, improve control quality, and build better risk decisioning. \n About The Role \n We are hiring a Product Manager to own one of the workstreams within Business Onboarding Verification. Each PM within the team owns a complex product area end to end, from discovery and roadmap through delivery, measurement, and iteration. \n These are not generic AI, programme management, or stakeholder coordination roles. You will coordinate complex work, but the core of the job is product ownership: defining the problem, shaping the solution, making trade-offs explicit, setting success metrics, launching safely, and ensuring each change improves KYB as a product. \n What You Will Own \n\n • \n Own the product roadmap for one BOV workstream, from discovery through launch and iteration. \n • \n Identify the highest-value problems using customer friction, operational cost, manual review load, risk impact, regulatory need, and delivery readiness. \n • \n Translate ambiguous KYB problems into clear product requirements, launch criteria, success metrics, and learning loops. \n • \n Partner with Engineering, Analytics/Data Science, Product Compliance, Risk, Operations, regional teams, vendors, support partners, and adjacent PMs. \n • \n Define launch metrics and guardrails across customer impact, manual review load, operational adoption, control quality, false positives, false negatives, auditability, monitoring, and rollback. \n • \n Build feedback loops from agents, QA, assurance, customer outcomes, support contacts, downstream risk signals, and vendor/model performance where relevant. \n • \n Balance tactical delivery with long-term product foundations. \n\n What Success Looks Like In The First 6-12 Months \n\n • \n Your workstream has a clear roadmap with explicit priorities and measurable outcomes. \n • \n The team has shipped meaningful product improvements, not just analysis or coordination. \n • \n Product changes are safer to launch because metrics, guardrails, monitoring, fallback paths, and ownership are clear. \n • \n Cross-functional partners understand what is being solved, why it matters, who owns what, and how success will be measured. \n • \n KYB becomes faster, more measurable, more auditable, and easier for legitimate businesses and agents to navigate. \n\n This Role Gives You The Opportunity To \n\n • \n Work on one of the most important regulated onboarding domains at Wise. \n • \n Improve the experience for business customers and the agents reviewing their cases. \n • \n Build practical AI, automation, decisioning, controls, and platform foundations in a real operational environment. \n • \n Work across Product, Engineering, Compliance, Risk, Operations, Analytics, regional teams, and vendors on high-stakes problems. \n • \n Shape how Wise moves from fragmented manual review and tactical control work toward reusable, measurable KYB capabilities. \n\n Qualifications \n What We Are Looking For \n\n • \n You have product management experience owning complex work from discovery through delivery and measurable outcomes. \n • \n You are comfortable in data-heavy, risk-sensitive, operational, regulated, onboarding, payments, trust and safety, compliance, or fintech domains. \n • \n You can reason with data and metrics, including denominators, baselines, segmentation, sample bias, data quality, attribution limits, and guardrails. \n • \n You can translate ambiguous product, risk, compliance, or operational problems into clear requirements, launch criteria, and iteration plans. \n • \n You understand that regulated product delivery needs evidence, auditability, operational readiness, monitoring, and ownership. \n • \n You communicate clearly, make trade-offs explicit, and can create alignment without formal authority. \n\n Strong Additional Signals \n\n • \n Experience in KYB, KYC, business onboarding, financial crime, identity, fraud, risk decisioning, compliance tooling, operational tooling, payments, or regulated fintech. \n • \n Experience with AI, LLMs, ML models, document intelligence, decisioning systems, vendor evaluation, or agent-assist tooling. \n • \n Experience turning remediation, audit, or control gaps into product or platform improvements. \n • \n Experience reducing manual operations through automation, workflow redesign, better data, internal tools, QA/assurance processes, monitoring, or dashboards. \n • \n Experience with legal entities, ownership structures, UBOs, directors, shareholders, authorised signatories, business registries, or complex evidence workflows. \n\n Additional Information \n\n • \n Base salary: £120-148K (based on experience & interview outcomes) \n • \n Restricted Stock Units (RSUs) & a variety of other benefits: Wise Benefits \n\n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n Job Description \n About the role: \n Join us as a Senior Software Engineer in our critical Account Integrity team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to directly protect our global customer base. \n How we work: \n The Account Integrity Team \n The Account Integrity team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents scams, and consistently surpasses regulatory expectations. \n What will you be working on? \n This defining role involves continuously improving our financial crime prevention infrastructure and systems. You will deliver a direct, measurable impact on customer security by taking end-to-end ownership of projects focused on: \n\n • \n Building and refining critical controls to protect Wise customers accounts from account takeovers. \n • \n Drive Backend and Frontend for our crime prevention and detection systems - You will be working 80% of the time on a backend and 20% on the frontend \n • \n You will be delivering a tangible, real-world impact by securing customers' money, accelerating product growth by raising automation levels, and helping us engineer a world-class money transfer product. \n\n What do you need? \n\n • \n Engineering Expertise: Professional experience with Java or other JVM-based languages, including the Spring framework. Experience building and designing scalable web applications that handle large amounts of traffic - ideally using React based frontend applications, Javascript / Typescript. \n • \n System Design & Operation: Proven experience designing and operating CI/CD pipelines, Distributed, and Concurrent Systems. \n • \n Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind. \n • \n Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing resilient schemas. \n • \n Code Quality: Exceptional fundamentals, sharp problem-solving ability, and a commitment to Test Driven Development and best coding practices. \n • \n Collaboration: Excellent communication skills to articulate complex technical concepts across teams (Product, Data Science, Investigations). \n\n Nice to Have: \n\n • \n Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production). \n\n Additional Information \n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n\n • \n Starting salary: £87,500 - 111,000 + RSUs \n • \n Wise Benefits \n\n #LI-AB3 #LI-Hybrid \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role. \n dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. \n dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. \n We’re looking for a Senior Applied Data Scientist who expects more from their career. This is an opportunity to apply your expertise to distil complex problems into meaningful, actionable insights -leveraging world-first science, cutting-edge machine learning techniques and human creativity to deliver impactful solutions for clients. \n Joining our advanced data science team, you’ll be responsible for the ongoing implementation, support and development of complex models and applications, working alongside exceptionally talented colleagues who are challenging and rewriting the rules rather than simply following them. \n Our team works closely with Tesco to solve some of the most interesting and challenging problems in the category management space. We work collaboratively with our client leadership team and with our clients, to build solutions that are re-usable, scalable and deliver measurable value. You’ll drive change, shape innovative solutions, and actively redefine how organizations harness data. \n What we expect from you \n\n • Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field\n, • Strong programming skills — Python and SQL are essential; PySpark experience is highly advantageous\n, • Experience with version control tools (e.g. GIT)\n, • Solid understanding of analytical technologies, tools, and techniques\n, • Excellent logical thinking and problem‑solving abilities\n, • Strong communication skills, with the ability to explain complex concepts clearly to non‑technical audiences\n, • Proven experience in statistical modelling and applying data science solutions to real client problems\n, • A passion for connecting technical work to real customer outcomes, delivering clear and measurable impact\n, • Comfortable building new workstreams from the ground up, including defining direction, structure, and stakeholder alignment\n, • Background in retail analytics (especially exposure to Category Management) is advantageous\n\n What you can expect from us \n We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. \n You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. \n And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. \n Our approach to Flexible Working \n At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. \n We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. \n For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

hackajob is collaborating with Kingfisher to connect them with exceptional professionals for this role. \n We’re Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas - to life. That’s right, we’re big, but we have ambitions to become even bigger and even better. We want to become the leading home improvement company and grow the largest community of home improvers in the world. And that’s where you come in. \n At Kingfisher, our customers come from all walks of life, and so do we. We want to ensure that all colleagues, future colleagues, and applicants to Kingfisher are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation. \n We are open to flexible and agile working hours and locations. Therefore, we offer colleagues a blend of working from home and our offices. Talk to us about how we can best support you! \n We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. You will trailblaze the development of data science algorithms, while building, leading, nurturing and retaining a high performing data science team working on banner as well as group priorities. \n\n • Lead the implementation of data science projects and data science approaches to support commercial goals \n, • Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working \n, • Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data science and embed the use of data science directly in our products and processes \n\n\n, • Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results \n, • Be a champion and role model for the application of data science across the Kingfisher group \n, • Support the data leadership team in developing a “data culture” and demonstrating the value of data in our decision making \n, • Lead our efforts to develop the data science (and broader customer analytics) “brand” at Kingfisher for both internal and external audiences\n\n\n, • Proven experience delivering high-quality AI-based products and productionisation of Machine Learning based products \n, • Proven experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP) \n, • Excellent understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) \n, • Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) \n\n\n, • Strong software development skills (Python is the preferred language) \n, • Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow \n, • Strong management and leadership skills – previous experience managing a team \n, • Strong influencing, communication and stakeholder management skills \n\n Be Customer Focused – constantly improving our customers’ experience \n We listen to our customers and colleagues \n We innovate products and experiences to stay ahead \n Be Human – leading with purpose, humanity and care \n We do the right thing \n We invest in our people and build great teams \n Be Curious – thrive on learning, thinking beyond the obvious \n We focus externally, globally and build the long term \n We experiment and share our learnings \n Be Agile – building trust and empowering people to work with agility \n We act with pace, not perfection, role modelling 80/20 \n We take risks, fail fast and adapt quickly \n Be Inclusive – inspiring diverse teams to achieve together \n We celebrate difference as a strength \n We collaborate, breaking down silos \n Be Accountable – owning the plan, delivering results and growth \n We focus on performance outcomes \n We prioritise and simplify for others \n At Kingfisher, we value the perspectives that any new team members bring, and we want to hear from you. We encourage you to apply for one of our roles even if you do not feel you meet 100% of the requirements. \n In return, we offer an inclusive environment, where what you can achieve is limited only by your imagination! We encourage new ideas, actively support experimentation, and strive to build an environment where everyone can be their best self. \n We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. \n Interested? Great, apply now and help us to Power the Possible. \n #LI-TB1

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n We are looking for an analytical and curious Senior Marketing Data Analyst to join our Marketing Science team. Our mission is to fuel sustainable growth by measuring marketing effectiveness - building a unified measurement framework based on experimentation, Marketing Mix Models and tracked attribution. \n Your Mission \n In this role, you will help us build our best representation of marketing effectiveness by enhancing and maintaining our attribution model. You will partner with our Lead Analyst to own the code and define our attribution logic while partnering with marketing teams to ensure every £ is spent efficiently. \n Key Responsibilities \n\n • \n Maintain and enhance our attribution model logic. Use dbt to maintain data pipelines, refine attribution rules, and implement new logic as our channel mix and marketing effectiveness understanding evolves. \n • \n Ensure the accuracy of marketing data integrity in our attribution model. \n • \n Work with the Data Science, Acquisition and marketing teams to evolve our model. \n • \n Build dashboards that allow marketing stakeholders to self-serve daily performance metrics. \n • \n Translate complex datasets and modelling results into clear, non-technical narratives for marketing stakeholders. \n • \n Execute detailed, in-depth analyses to identify improvement opportunity areas in our current measurement capabilities and propose solutions. \n • \n You will help us improve our measurement confidence level by identifying certainty gaps and proposing ways to bridge those gaps. \n • \n You will contribute defining impactful OKRs to work throughout the half of the year. \n\n Qualifications \n\n • \n Bachelor’s degree in Statistics, Economics, or other relevant fields. \n • \n 2+ years of experience in a marketing analytics or data analytics role. \n • \n Advanced SQL skills, Python/R and dbt are advantageous. \n • \n You are able to demonstrate that you can tell a story with data and proactively give guidance on strategy based on insights. \n • \n Experience working with attribution models/MMP data is advantageous. \n • \n Experience with data visualisation tools (example, Looker, Power BI, LightDash). \n • \n Understanding of performance marketing is advantageous. \n\n Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK. \n Additional Information \n Some of our benefits: \n Base salary of £60,000 - £85,000 \n RSU's in a growing and public company \n Work from (almost) anywhere in the world for up to 90 days a year \n Flexible working - you’re trusted to do the right thing and be responsible \n Private Medical Insurance + Life Insurance \n ️ Discounted gym memberships and cycle to work scheme \n ️ A paid 6-week sabbatical leave after four years \n 26 weeks maternity leave at full pay \n An annual self-development budget \n Annual Mission Days festival \n Pet friendly offices \n ♀️ Lots of fun group activities like yoga, running and boardgame nights \n Find out more about our benefits in our London office. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Kingfisher to connect them with exceptional professionals for this role. \n We’re Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas to life. Guided by our purpose Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement. \n We are looking for a Product Manager to ensure the business has a secure, scalable, and high‑performing payments foundation that enables seamless transactions and effective fraud protection. \n This is a strategic role within Group Product & Platform, and you will lead the development, launch and scaling of the Group Marketing & Loyalty platform as a core enterprise capability. Define the long-term vision. Shape the roadmap. Deliver the first implementation. Then scale it across the business. You will operate across Product, Engineering, Architecture, Data and Proposition teams, driving alignment and adoption in a complex, multi-brand environment \n\n • Define and evolve a strategic roadmap that aligns with enterprise goals, customer experience\n, • priorities, and the evolving fraud and risk landscape.\n, • Own and prioritise the payments platform roadmap aligned ensuring it delivers secure,\n, • seamless, and scalable payment capabilities across all banners.\n, • Advocate for platform principles including API-first design, modularity and reuse.\n, • Own the product relationship with key technology vendors.\n, • Drive platform adoption across Kingfisher banners.\n, • Setup and operate platform governance that safeguard payment flows, ensure compliance, and embed robust fraud controls and detection capabilities.\n, • Line manage multiple Product Owners.\n, • Develop product practices within the product teams.\n\n Activities I do to deliver my role: \n\n • Translate enterprise strategy into a clear, phased platform roadmaps.\n, • Partner closely with architecture and engineering to shape platform strategy.\n, • Partner with Fraud Operations, Risk, and Data Science teams to ensure the platform proactively responds to emerging fraud vectors and regulatory requirements.\n, • Establish platform guardrails and adoption criteria.\n, • Ensure platform capabilities support continuous monitoring, anomaly detection, chargeback\n, • reduction, and loss prevention.\n, • Provide structured updates to senior stakeholders and governance forums.\n, • Monitor platform performance, risks, costs and scalability considerations.\n, • Coach and develop product capability within the platform teams.\n\n\n, • Strong experience in payments ecosystems (cards, A2A, digital wallets, PSPs, acquiring, settlement)\n, • Track record of delivering platform products in complex, multi-brand or multi-market environments\n, • Experience balancing commercial outcomes with technical constraints and regulatory requirements\n, • Strong stakeholder management across Engineering, Architecture, Data, Fraud, Security and Compliance\n, • Data-led decision making across performance, cost and fraud metrics\n, • Understanding of fraud prevention approaches (rules engines, tooling, machine learning signals)\n, • Experience working in API-first or event-driven environments\n\n Operating environment \n\n • Multi-brand, multi-market complexity\n, • High transaction volumes with real financial exposure\n, • Structured governance alongside the need for pace\n, • Platform-first mindset over local optimisation\n\n You will be a strategic product leader who is comfortable working across multiple teams and functions, bringing clarity to complexity and helping shape shared platforms that create long term business value. You will be confident engaging senior stakeholders, driving alignment and building strong product practices within your team. \n At Kingfisher, we are looking for people who are customer focused, curious, agile, inclusive, accountable and human in the way they lead and work with others. \n How We Work \n We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average, around 60% of your time will involve in-person collaboration. \n We value the perspectives new team members bring and encourage you to apply - even if you don’t meet 100% of the requirements. \n What We Offer \n An inclusive environment where your potential is limited only by your imagination. We encourage new ideas, support experimentation, and strive to create a workplace where everyone can be their best self. Find out more about Diversity & Inclusion at Kingfisher here. \n We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Scroll down below to find out more about our benefits. \n Diversity & Inclusion \n Our customers come from all walks of life - and so do we. We’re committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation. \n Interested? Great, apply now and help us to Power the Possible. \n #LI-TB1

hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role. \n dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. \n dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. \n We’re looking for an International Tax Manager who expects more from their career. It’s a chance to extend and improve dunnhumby’s Tax Team. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers. \n Joining our Tax team, you’ll work with world class and passionate people to advise and support our entities with their tax affairs. This will include overseeing direct tax compliance, transfer pricing policy, global employment taxes and acting as a business partner on international tax issues. You’ll work with the Group Tax team, external Tax Advisors and the Tesco tax team. \n The International Tax Manager will support the Global Head of Tax and Treasury with all tax responsibilities across the global entities of the organisation. Responsibilities will include, but are not limited to: \n Key Responsibilities \n\n • Oversee outsourced international tax compliance, including corporate income tax and indirect tax filings across multiple jurisdictions.\n, • Ensure accurate tax accounting and reporting, including preparation and review of tax disclosures and annual tax provisioning processes.\n, • Provide tax advice on business initiatives, restructurings, acquisitions, disposals, and financing transactions.\n, • Maintain and enhance tax controls, processes, and governance frameworks.\n, • Oversee transfer pricing compliance and documentation.\n, • Monitor tax legislation changes and assess impacts on the Group.\n, • Act as the primary point of contact for external tax advisers, auditors, and tax authorities.\n\n Skills & Experience \n\n • Qualified accountant (ACA, ACCA, CIMA) and/or tax qualification (CTA).\n, • UK and international tax experience, gained within a multinational organisation and/or leading accounting firm.\n, • Knowledge of IFRS and tax provisioning requirements.\n, • Excellent analytical and problem-solving skills.\n, • Strong stakeholder management and communication capabilities.\n\n For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here) \n What you can expect from us \n We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. \n You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. \n And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. \n Our approach to Flexible Working \n At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. \n We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. \n For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n We are looking for a Product Director to own and evolve the internal platform that powers Risk, Compliance, and Financial Operations at Wise. \n As money moves instantly across borders, bad actors move just as fast. The Mitigation Platform Squad is a 30-person, cross-functional organization (spanning three distinct teams) dedicated to building the next generation of our operational infrastructure. \n Your mission is to move our operations from manual review engines to AI-augmented, predictive workflows, ensuring we scale our customer base exponentially without scaling our operational headcount at the same rate. \n What You Will Build & Own: \n You will lead the overarching product strategy for how we collect customer risk data, route tasks, and handle complex financial crime investigations. Specifically, your squad focuses on three core pillars: \n\n • The 360° Customer Data Engine: Revolutionize how we collect, ingest, and synthesize customer information. You will build frameworks that aggregate complex data points into a unified, real-time risk profile, giving analysts instant context without the hunt.\n, • Intelligent Case Handling & Workflows: Own the end-to-end case management experience. You will build flexible, customizable workflow engines that empower operational teams to design, test, and deploy new compliance rules and investigation paths accelerating our time-to-market against new threat vectors.\n, • The AI & Automation Foundation: Set the architectural and product blueprint for augmenting human intelligence. You will integrate machine learning, LLMs, and smart automation into the daily workflow of analysts—from automated data summarization and predictive task routing to AI "copilots" that draft investigation summaries and highlight anomalies.\n\n Key Responsibilities \n\n • Lead a 30-Person Multi-Team Squad: Provide strategic vision, product coaching, and execution leadership to three cross-functional teams of engineers, designers, and analysts.\n, • Pioneer AI-Augmented Operations: Identify high-friction manual processes in KYC, EDD (Enhanced Due Diligence), and fraud investigation, partnering with Data Science to deploy automated decisioning and generative AI assistance.\n, • Unify the Operational Stack: Oversee the consolidation of fragmented tooling into a seamless, cohesive platform, standardizing core risk, quality assurance (QA), and workforce management (WFM) processes globally.\n, • Drive Cross-Functional Alignment: Act as the primary bridge between global product teams, compliance officers, and operational floor managers, ensuring platform improvements directly drop our cost of servicing.\n, • Operate as a Player-Coach: Seamlessly zoom out to set a 2-year platform vision, and zoom in to unblock technical architectural decisions or analyze operational workflow bottlenecks.\n\n Qualifications \n What We’re Looking For \n\n • Platform & Scale Experience: You have built and scaled complex platforms, internal operating systems, or B2B SaaS products supporting thousands of daily active users or millions of end-consumers. You understand the intricate architecture required for high-availability, low-latency workflows.\n, • AI & Automation Intuition: You don't need to be a machine learning engineer, but you know how to productize data science. You look at a manual operational workflow and immediately see how smart heuristics, predictive models, or LLM summarization can 10x human output.\n, • Proven People Leadership: You have experience hiring, onboarding, and mentoring Product Managers (both ICs and Leads). You know how to build a high-context, autonomous culture across multiple distributed sub-teams.\n, • Relentlessly Data-Driven: You self-serve with SQL/data tools to uncover operational bottlenecks, quantify friction, and measure the ROI of automation. You tell compelling stories with data to rally engineering and compliance around a shared metric.\n, • Consumer-Grade Mindset for Internal Tools: You reject the idea that internal operational tools should be clunky or slow. You care deeply about UX, design, and developer/analyst ergonomics.\n\n Additional Information \n We’re people without borders — without judgment or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in. Where and what you studied isn't important to us. If you’ve got great experience, the right skills for the role, and you’re great at articulating your thinking, we’d like to hear from you. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Product Associate - Brokerage \n J.P. Morgan Personal Investing offers award-winning investments, products and digital wealth management services to over 275,000 investors in the UK. We built the business with innovation as a core part of our ethos to give consumers the confidence and clarity to make informed investment decisions and achieve their financial goals. \n As a Product Associate for Brokerage at J.P. Morgan Personal Investing, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. You are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations. \n Our Product team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about building investment products. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. \n Job responsibilities: \n\n • \n Develops and articulates a clear product strategy that delivers meaningful value to customers and aligns with the firm's broader objectives \n\n\n • \n Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap \n\n\n • \n Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition \n\n\n • \n Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability \n\n\n • \n Build strong and collaborative relationships across different departments, including internal teams (e.g. Product and Engineering, Compliance, Operations and Investments) and with our external partners \n\n\n • \n Define and manage a highly organised roadmap and supporting backlog to ensure your team is delivering products that will most positively impact customers and the business \n\n\n • \n Be passionate about the Product Development process, always striving to improve how products are built to ensure teams operate to their maximum effectiveness and efficiency \n\n\n • \n Balances business and technical objectives and translate these as clear priorities for the Engineering team \n\n\n • \n Oversees product development, testing, and release management, ensuring high standards of quality and reliability. \n\n\n • \n Actively participates in agile ceremonies including daily stand-ups, planning meetings, and retrospectives, to drive transparency, accountability and continuous learning \n\n Required qualifications, capabilities and skills \n\n • \n Experience or equivalent expertise in product management or a relevant domain area within financial services or technology \n\n\n • \n Proven track record of successfully building wealth management products, familiarity with brokerage and/or mutual funds end-to-end lifecycle \n\n\n • \n Advanced knowledge of the product development life cycle, design, and data analytics \n\n\n • \n Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management \n\n\n • \n Experience working in the delivery of large, complex digital product initiatives with cross-team dependencies \n\n\n • \n Experience with software delivery best practices, working with technical product requirements and mapping of dependencies, design of minimum viable products, working with multi-country requirements \n\n\n • \n Ability to explain technical issues in a clear way to the business and other stakeholders \n\n\n • \n Ability to analyse and incorporate user needs, business needs, and technical constraints/opportunities into the product development process \n\n\n • \n Be the glue among departments and create shared understanding by translating ideas and concepts into technical or layman's terms \n\n Preferred qualifications, capabilities and skills \n\n • \n Bachelor's degree in engineering, computer science, finance or highly qualitative degree \n\n\n • \n Track record of delivering successful products based on first-principles design, working with data and customer feedback \n\n\n • \n Demonstrated prior experience navigating and working in matrix and complex organizations, collaborating effectively across teams and functions \n\n #ICBCareers #ICBHiring \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. \n The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm's data sharing principles of security, customer control and convenience, and privacy.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. \n As a Lead Software Engineer at JPMorganChase within the Corporate and Investment Banking (CIB), Equities Technology - Prime Services team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. \n Job responsibilities \n\n • Write high-quality Python code for front-office Technology Systems.\n, • Collaborate closely with Traders and Quantitative Researchers to deliver solutions that enhance trading and execution workflows.\n, • Create alignment with stakeholders, both technical and non-technical.\n, • Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems\n, • Develop secure high-quality production code, and review and debug code written by others\n, • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.\n, • Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies\n, • Add to team culture of diversity, opportunity, inclusion, and respect\n\n Required qualifications, capabilities, and skills \n\n • Formal training or certification on software engineering concepts and 5+ years applied experience\n, • Bachelor's Degree in Computer Science or equivalent \n, • In-depth knowledge of Capital Markets and Equity Market Microstructure\n, • Strong knowledge of electronic trading workflows across pre-trade analytics, signal generation, execution algorithms and post-trade analysis. \n, • Advanced proficiency in Python.\n, • Strong analytical, quantitative and problem-solving skills.\n, • Ability to translate business and quant requirements into scalable target architectures and implementation roadmaps.\n\n Preferred qualifications, capabilities, and skills \n\n • Hands on experience in Quantitative Trading and/or Market Analysis.\n, • Familiarity and prior experience on KDB/q will be beneficial.\n, • Knowledge of FIX, Market Data, Order Management Systems will be a strong plus.\n, • Prior experience with SecDB / Athena / Quartz platforms is advantageous but not required.\n, • Data streaming knowledge on frameworks like Kafka, AMPS will be beneficial.\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n About the role: \n\n • Wise is one of the fastest-growing global financial platforms, and as we scale, so does the sophistication of the ML systems protecting every transaction. Our Risk ML team is building the model lifecycle platform that makes it possible to develop, deploy, and monitor ML models for financial crime detection - reliably, reproducibly, and at scale.\n, • We're looking for a Senior ML Platform Engineer to build this platform from the ground up. You'll design the infrastructure that turns model development from a bespoke, manual process into a scalable, standardised one - so our data and applied scientists can focus on improving detection rather than managing operations.\n\n This is a greenfield build with strong investment and direct engagement from Wise's senior leadership. \n How we work: \n\n • Risk ML sits within Wise’s FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop, and Risk Modelling. You'll sit in Risk Modelling, building the platform layer that makes scaling our detection capabilities possible.\n, • You’ll work closely with data scientists, feature platform engineers (upstream infrastructure), and Wise's central ML platform team (shared foundations). We value engineers who build for adoption - internal platforms succeed when teams want to use them.\n\n What will you be working on? \n\n • Designing and building the declarative training pipeline - standardised, config-driven model training that any data scientist can use without writing deployment code\n, • Building model packaging and serving abstraction - a unified interface that handles multiple model types (classical ML, deep learning, emerging architectures) through a consistent API\n, • Implementing the model evaluation framework - standardised metrics, reproducible comparison, and automated validation gates\n, • Building model monitoring - drift detection, performance degradation alerts, automated retraining triggers, and full audit trails for regulatory compliance\n, • Owning the integration layer with Wise's central ML infrastructure - aligning on boundaries so FinCrime-specific lifecycle tooling builds cleanly on shared foundations\n, • Maximising data science productivity - your platform's success is measured by how much time shifts from operational maintenance to improving detection performance\n\n What do you need? \n\n • Experience building ML platform infrastructure in production - training pipelines, model serving, evaluation frameworks, or monitoring systems. Infrastructure that other teams depend on, not individual model work.\n, • Strong software engineering fundamentals - you build reliable, well-tested, maintainable systems. Python, Kotlin/Java, SQL.\n, • Experience with ML orchestration (Airflow, Kubeflow, or equivalent), model registries (MLflow or similar), and container-based deployment\n, • End-to-end understanding of the ML lifecycle - data ingestion through training, packaging, serving, and monitoring - and knowledge of where things break\n, • A product mindset for internal tooling - you think about data scientists as users and build for adoption, not just functionality\n\n Nice to Have: \n\n • Model serving at scale - latency optimisation, ONNX packaging, canary deployments for models\n, • Experience in FinCrime, fraud, AML, or regulated environments where audit trails and model governance are non-negotiable\n, • Experience with model monitoring and drift detection systems in production\n, • Track record of migrating teams from manual ML workflows to platform-based approaches\n\n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n\n • \n Starting salary: £111,000 - £145,000 + RSUs \n • \n Wise Benefits \n\n #LI-AB3 #LI-Hybrid \n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n As a Forward Deployed Engineer (FDE) in the Google Cloud Consulting organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. \n Minimum qualifications: \n\n • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.\n, • 5 years of experience with software development using Python or similar coding languages.\n, • Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP).\n, • Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.\n, • Experience leading technical discovery sessions with customers.\n, • Experience architecting AI systems on cloud platforms (e.g., GCP).\n\n Preferred qualifications: \n\n • Master’s degree or PhD in AI, Computer Science, or a related technical field.\n, • Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).\n, • Experience in a post-sales or technical consulting delivery function.\n, • Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.\n, • Ability to communicate in French, German or other European language (e.g., Spanish and Italian) fluently to support client relationship management in this region.\n, • Ability to travel regionally to engage with local stakeholders and customers.\n\n Responsibilities: \n\n • Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).\n, • Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.\n, • Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.\n, • Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.\n, • Co-build with pre-sales and product teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.\n

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. \n As an Applied AI ML Director - NLP / LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation. \n Job Responsibilities \n\n • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems\n, • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production\n, • Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business\n, • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community \n \n\n Required qualifications, capabilities, and skills \n\n • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field.\n, • Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methods\n, • \n Hands on experience building agentic AI / multi-agent systems within regulated or compliance-driven environments \n • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals, with a focus on agentic systems and LLM evaluation\n, • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.\n, • Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments\n, • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems\n\n Preferred qualifications, capabilities , and skills: \n\n • Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development\n, • Knowledge in graph integration with LLM, Reinforcement Learning or Meta Learning\n, • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code\n, • Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal\n\n About MLCOE \n The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning \n For more information about the MLCOE, please visit http://www.jpmorgan.com/mlcoe. \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n We’re seeking a future team member for the role of Senior Specialist, Data Scientist to join our Markets team. This role is located in London. \n In this role, you’ll make an impact in the following ways: \n\n • Lead complex data analysis initiatives using advanced statistical techniques and machine learning models to generate actionable insights that support business strategy and operational efficiency. \n \n, • Partner with cross-functional teams to design and implement data-driven solutions aligned to organizational priorities and business objectives.\n, • Manage and enhance large datasets while ensuring strong data integrity, accuracy, and adherence to data management and governance best practices.\n, • Develop, maintain, and improve predictive models to forecast business trends and provide data-backed strategic recommendations.\n, • Stay current on industry trends and emerging data science technologies to continuously strengthen analytical approaches and innovation.\n, • Communicate findings clearly and effectively to stakeholders across all levels, translating complex analytical outputs into meaningful business actions.\n \n\n To be successful in this role, we’re seeking the following: \n\n • Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field, or the equivalent combination of education and experience required; advanced degree preferred.\n, • Proficiency in programming languages such as Python, or SQL.\n, • Strong analytical and problem-solving skills, with the ability to interpret complex datasets and deliver actionable insights.\n, • Excellent communication skills, with the ability to present data-driven recommendations to both technical and non-technical audiences.\n\n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. \n In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. \n One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. \n Minimum qualifications: \n\n • Bachelor's degree or equivalent practical experience.\n, • 5 years of experience in product management or a related technical role.\n, • 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).\n, • Experience integrating generative Artificial Intelligence (AI) tools or Large Language Model (LLM) interfaces into workflows.\n\n Preferred qualifications: \n\n • Experience in data infrastructure and analytics, software experimentation systems, or both.\n, • Familiarity with AI/ML infrastructure.\n, • Excellent communication skills (e.g,, written, verbal).\n, • Strong cross-functional and cross-organizational collaboration skills, especially with engineering and data science.\n, • Adept at using AI tools to amplify Product Manager (PM) impact.\n\n Responsibilities: \n\n • Own and drive roadmap and delivery for offline data infrastructure supporting Home and Health. Improve data access for subs/growth, agentic access, etc. including logging, observability, debuggability requirements.\n, • Own and drive roadmap and delivery for experiments infrastructure supporting Home and Health. Improve the velocity of experiment design, configuration, analysis, and decision-making.\n, • Communicate product roadmaps to user community; define and drive user engagement strategies to validate the roadmap and deliver value. Empower teams to run more complex/nuanced experiments (multi-arm) to support product innovation and decision-making.\n, • Set key product metrics and Key Performance Indicators (KPIs) for offline data and experiments infrastructure.\n, • Define and ship analytics back-ends that process data and turn it into useful insights. Consolidate logging systems that works across multiple product lines and identify requirements and use cases, system characteristics, and set target metrics.\n

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n We're looking for an Analytics Manager to join our Marketing Science team and own the strategy, execution and evolution of our marketing measurement framework. This role is your opportunity to shape how we drive measurable impact of £M’s of marketing investment across the globe. \n In this role, you'll be a key leader, guiding a team of two analysts to build, maintain, and evolve our triangle of measurements from end to end. \n The ideal candidate is a highly analytical hands-on leader with deep technical expertise, a strong understanding of advertising effectiveness and the ability to work cross-functionally with marketing stakeholders, analysts, data scientists, engineers and finance teams. \n Your Mission \n You will be responsible for the strategic direction of our triangle of measurements, ensuring it provides the best representation of marketing’s impact and actionable insights that drive marketing optimization across the company. If you are passionate about advertising effectiveness, intellectually curious and outcome oriented, this role is for you! \n Key Responsibilities \n\n • \n Own the strategy and implementation of our triangle of measurement ranging our marketing attribution model, experimentation and Marketing Mix Models. \n • \n Collaborate effectively with marketing channels, data science and data engineering, and other cross-functional teams to identify and prioritise key business needs in our measurement products. \n • \n Manage and develop a team of two analysts in different IC levels, fostering their growth and ensuring high-quality output, and that the project priority definition is outcome oriented. \n • \n Develop and execute a strategic roadmap for the measurement product, identifying new opportunities and alternative solutions to overcome limitations. \n • \n Leverage AI tools to optimise and scale our processes, and provide deep-dives. \n • \n Define processes for marketing channel optimisation based on different measurement solutions available. \n • \n Own the end-to-end technical build of the new features of the attribution model, leveraging tools like dbt, SQL and Python to create a robust and scalable solution. \n • \n Generate insights to provide strategic recommendations on how to optimize marketing channels and spend. \n • \n Act as a subject matter expert on our whole measurement framework. \n\n Qualifications \n\n • \n Bachelor’s degree in Statistics, Economics, or other relevant fields. \n • \n 4+ years of experience in a marketing analytics or data science role. \n • \n Leadership/management experience is advantageous but not required. This role is an opportunity to step into a leadership position guiding a team of two analysts. \n • \n Proficiency in SQL, advanced in Python and experience in data visualization tools (example, Lightdash). dbt is advantageous. Experience building and deploying data pipelines and models is essential. \n • \n Very strong, hands-on knowledge of marketing attribution models, including their methodologies, use cases, limitations, and best practices for implementation. Knowledge of Marketing Mix Models and experimentation. \n • \n Proven ability to think strategically about how to use and improve an analytical product to drive business value. \n • \n Excellent project management and stakeholder management skills, with the ability to communicate complex technical concepts to non-technical audiences. \n • \n Deep understanding of marketing channels, campaign tracking, and the role of MMPs in mobile marketing. \n\n Additional Information \n Base salary of £75,000 - £115,000 \n RSU's in a growing and public company \n Work from (almost) anywhere in the world for up to 90 days a year \n Flexible working - you’re trusted to do the right thing and be responsible \n Private Medical Insurance + Life Insurance \n ️ Discounted gym memberships and cycle to work scheme \n ️ A paid 6-week sabbatical leave after four years \n 26 weeks maternity leave at full pay \n An annual self-development budget \n Annual Mission Days festival \n Pet friendly offices \n ♀️ Lots of fun group activities like yoga, running and boardgame nights \n Find out more about our benefits in our London office. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Baringa Partners to connect them with exceptional professionals for this role. \n What you will be doing \n\n • Defining and implementing Machine Learning projects over the full lifecycle, from conception to data preparation, model engineering, evaluation and deployment and finally model monitoring and maintenance\n, • Establishing and developing ML Ops frameworks and standards for clients and embedding within their infrastructure\n, • Working with clients to take them on the journey, upskilling along the way and ensuring they are kept in the loop and can take ownership after you roll off the project\n, • Performing maturity assessments across clients’ Cloud/AI environments and recommending improvements\n, • Building ML strategy blueprints and advising clients on the different technology options\n, • Translating business requirements (both functional and non-functional) into solutions, ensuring compliance with the organisations strategy, policies and standards and in some cases, help customers to define new policies, philosophies and standards\n, • Helping clients to identify risks and mitigations for their ML and DS programmes, as well as transition from on-prem to modern cloud-based infrastructures (AWS, Azure, GCP)\n, • Working with clients in key areas of ML model governance, such as in defining philosophies including fairness, transparency, interpretability, and accountability\n\n Your skills and experience \n We are seeking passionate and dynamic ML engineers who are excited by building production ML solutions, and keen to take an active part in the growth of the company. We’re looking for people who can both advise our clients and get hands on in technical delivery to bring a solution to life. \n\n • Passionate person who is excited by problems within machine learning and can bring a good mix of technical delivery and core consulting skills in client engagements\n, • Advanced degree in computer science, mathematics, physics, engineering or related STEM field\n, • Strong problem-solving skills and solid grounding in classical ML and deep learning: from applied statistics and traditional machine learning algorithms to transformers and SOTA deep learning\n, • Excellent collaboration and communication skills, both with teams and in client-facing engagements\n, • Interested in building AI applications, ranging from forecasting tools to image recognition applications and LLM-based chatbots and agents\n, • Proven ability to build machine learning models and pipelines using Python and common ML and DL libraries (e.g. Pytorch, Tensorflow) from early conceptualisation to full deployment in scalable production environments\n, • Ability to design, deploy and maintain ML solutions on modern frameworks to meet functional business requirements, adhering to software engineering best practices and with exposure to version control, testing, MLOps, CI/CD and API design\n, • Hands on experience in using one of 3 major cloud technologies (AWS, Azure or GCP) in a production environment, as well as ML platforms (e.g., AWS Sagemaker, Azure Machine Learning studio)\n, • Be a ‘lifelong learner’ and can demonstrate a drive to always be learning and developing your skillsets and develop the skillsets of others around you\n

hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. \n At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. \n If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. \n Skills and Competencies \n\n • Understanding of Moody’s NewsEdge offerings and the specific business concerns facing our clients\n, • Strong understanding of software solutions typically utilized in the corporate landscape such as CRMs, ERPs, procure to pay, and lead to cash solutions\n, • Customer facing experience with comfort leading sales calls and engaging directly with clients, product teams, and sales teams\n, • Sales mentality and commercial mindset with a strong drive to win new customers\n, • Demonstrated experience in technical sales including data and SAAS solutions, with exposure to complex sales cycles considered a plus\n, • Proven ability to analyze business processes and workflows, with a knack for identifying efficiency improvements\n, • Interest in learning or experience with Spark, SQL, Python for API development is highly encouraged, but not required\n, • Excellent communication and interpersonal skills, with the ability to engage effectively with both technical and non technical stakeholders\n\n Education \n\n • Bachelor’s degree in Business, Finance, Computer Science, or a related field\n\n Responsibilities \n A Solution Specialist plays a crucial role in driving the pre-sales function for Europe/Africa Territory, designed to help our customers decode risk and unlock opportunity. Solutions Specialists are responsible for understanding news specific workflows and aligning Moody’s solutions to meet their needs, in addition to demonstrating and showing the value of Moody’s solutions through proof-of-concepts, demos and evaluations. Main responsibilities include: \n\n • Support sales colleagues and internal stakeholders to drive the pre sales process from qualification to solution alignment\n, • Conduct in depth analysis of client workflows, processes, and business requirements, including customer meetings and gathering sample data\n, • Understand and map Moody’s solutions to client needs, demonstrating subject matter expertise and alignment to business challenges\n, • Demonstrate the value of Moody’s solutions through product demos, proof of concepts, trial evaluations, and data analysis\n, • Develop custom solutions where required, leveraging Moody’s portfolio of data assets and software solutions\n, • Work closely with product and technical teams to understand architecture, capabilities, and integration across Moody’s offerings\n, • Act as a bridge between clients and product development teams, conveying feedback to support product enhancements and roadmap discussions\n, • This position offers a dynamic work environment, requiring up to 50% travel to engage with clients face-to-face, while also providing the flexibility of hybrid working. \n\n About the team \n Join a collaborative and high-performing team at Moody’s, where you’ll work alongside professionals dedicated to customer success and growth. The team values innovation, cross-functional collaboration, and a culture of continuous improvement. You’ll have the opportunity to make a meaningful impact by driving retention and revenue growth, while contributing to a supportive environment that encourages learning, development, and the sharing of ideas. \n Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. \n Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role. \n dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. \n dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. \n Tesco Media is the ultimate media partner to brands. Built on unrivalled customer insight, it’s a media owner with soul, scale, and storytelling power. Tesco Media helps brands and agencies connect meaningfully with customers, drive creative effectiveness, and grow at the point of purchase. \n Through Tesco, the UK’s largest grocery retailer with over 24 million Clubcard households - representing nearly every home in the UK - Tesco Media offers brands an unparalleled view into the motivations and behaviours of the nation. It is perfectly positioned to solve business’s greatest marketing challenges, unlocking growth by enabling brands to connect with customers in meaningful ways online, in-store and via its offsite partners, all while enhancing the shopping experience for its customers. \n We’re looking for a Client Partner - Growth & Emerging who expects more from their career. You will be responsible for meeting and exceeding commercial targets, within an SMB client team, driving the Tesco Media proposition and product adoption working with multiple stakeholders. You will help to define the future of Retail Media with the support of the UK's largest Retailer and help small businesses and challenger brands with driving sales and long-term brand growth. The right candidate will play a defining role in growing our self-serve strategy & digital first approach. \n You will be responsible for driving education and adoption of our onsite performance products, including Search and Display formats across Tesco.com and the Tesco shopping App with SMB clients, with a focus on self-serve adoption. \n The successful candidate will join our Growth & Emerging team and work with world class and passionate people to deliver a digital first strategy that creates measurable value for customers, advertisers & Tesco Media. \n What you’ll be working on \n\n • Ownership of quarterly + yearly revenue goals and pipeline management supporting your team on their growth strategy for their books of business.\n, • Be an evangelist in multi-channel marketing and drive this approach through your team supporting pitches demonstrating a deep understanding of the UK market, leveraging market trends, customer insights, campaign analysis and performance.\n, • Create and deliver persuasive sales presentations.\n, • Support your team to drive self-serve adoption and a digital first approach with their clients approaching these with both a customer first and commercial mindset.\n, • Working with cross functional teams to proactively develop strategic insights, identifying opportunities for growth for sales leads to take to their clients.\n, • Passionately advocate and model the delivery of first-class customer service to our client base, holding yourself to the highest standards.\n, • Broad partnership engagement and scaled coverage across key stakeholders (Shopper, Brand, Digital, Media, Commerce, Agency & Loyalty teams).\n, • Maintain a deep understanding and expertise of Tesco Media & Insights platform products and roadmap. \n, • Be confident challenging client strategy to maximise the role Tesco Media and Insights platform plays in delivering meaningful business outcomes. \n\n What we expect from you \n\n • Experience in Media Sales and/or Retail Media with a successful track record in delivering customer satisfaction and exceeding sales targets.\n, • Evidence of relationship building with relevant stakeholders to drive revenue growth, product, and platform adoption to unlock incremental revenue.\n, • Demonstrated ability to drive growth with a diverse book of business and deliver against SLAs at pace.\n, • Demonstrated ability to develop a strong sales pipeline, forecast accurately, exceeding quarterly and annual commercial targets within a rapidly growing business. \n, • Results-driven, self-motivated and highly goal-oriented in order to exceed targets.\n, • An interest in working with product and technology stakeholders to continue to improve our digital performance products and drive self-serve adoption.\n, • Confident communicator and presenter, comfortable in fast-paced environments.\n, • A team player with the proven ability to collaborate with internal departments and teams.\n, • Knowledge of the media agency landscape, operating models, and commercial structure. \n\n What you can expect from us \n We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. \n You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. \n And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. \n Our approach to Flexible Working \n At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. \n We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. \n For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role. \n dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. \n dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. \n dunnhumby is looking for an Change Management Lead to join the team on a permanent basis. This role sits within our Retail Consulting function and plays a pivotal role in supporting the delivery of Tesco UK’s transformational strategy—embedding large-scale change programmes across Price, Promotion, Personalisation and Range to drive insight-led decision making. \n This is a hybrid role based in our Hammersmith office. \n Key accountabilities \n\n • Develop and deliver change management roadmaps and plans across multiple business areas and transformation programmes\n, • Apply change management methodologies to guide stakeholders through the full change lifecycle, ensuring efficient and effective adoption\n, • Assess business readiness and evaluate the scale and impact of change, implementing strategies to maximise adoption and minimise risk\n, • Build and maintain strong relationships across dunnhumby and Tesco teams, including Commercial, Capability, Product and Technology stakeholders\n, • Understand end-user needs, objectives and pain points to ensure change initiatives are relevant, practical and adopted at scale\n, • Collaborate with project managers and subject matter experts to land change effectively, leveraging their expertise and networks\n, • Partner with Tesco Product, Commercial and Capability teams to support delivery of the wider transformation vision\n, • Balance detailed workstream knowledge with programme-wide oversight, ensuring consistency while maintaining clarity across complex initiatives\n, • Lead and coordinate subject matter experts to deliver detailed outputs while simplifying messaging for different stakeholder audiences\n, • Champion structured, insight-led ways of working that support long-term behavioural change and measurable business impact\n\n Qualifications & Experience \n\n • Bachelor’s degree or equivalent practical experience\n, • Strong experience in change management within a consulting or retail environment, ideally in a data-driven context\n, • Proven track record of delivering change across complex, cross-functional programmes\n, • Excellent stakeholder management and communication skills, with the ability to influence at all levels\n, • Experience working with cross-functional teams including Product, Engineering, Analytics and Commercial\n, • Ability to navigate ambiguity and bring structure and clarity to complex challenges\n, • Agile mindset, with the ability to manage risk and adapt to changing priorities\n, • Self-driven, proactive and comfortable operating in fast-paced environments\n, • Familiarity with dunnhumby tools, data or methodologies is advantageous\n\n What you can expect from us \n We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. \n You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. \n And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. \n Our approach to Flexible Working \n At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. \n We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. \n For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

hackajob is collaborating with Tesco to connect them with exceptional professionals for this role. \n About the role \n The Product Analytics and Experimentation team sits within the Data & Analytics directorate in the Technology department. Our mission is to deliver insightful and actionable data through reporting, analysis, and experimentation; with a focus on establishing best-practice processes and enabling data-driven decision making across all supported product teams. The Tesco Groceries & Clubcard app and store self-checkout tills are amongst the digital products supported by our team. \n Everything is underpinned by our continuous drive for the best tools and technology to deliver our vision. We’re driving innovation and transforming our Technology to become the world’s leading e-commerce business. \n We need people who share our ambition to deliver for our customers; Passionate and confident people willing to take the initiative and drive us forwards. In return we offer excitement, a great team, an excellent benefit package, and significant career development opportunities. \n At Tesco, you’ll find a world-class data environment with the Tesco Analytics Platform – all of our analytics, sales, and customer data in one place. Our team offers unparalleled opportunities to gain fantastic big data analytics experience while working extremely closely with the key decision-makers in the business. \n Joining us means playing a part in defining, building and launching an ambitious roadmap of digital products that could affect the lives of millions of people over the years to come. \n If that sounds exciting, then we'd love to hear from you. \n What is in it for you \n We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. \n\n • Annual bonus scheme of up to 20% of base salary.\n, • Holiday starting at 25 days plus a personal day (plus Bank holidays).\n, • Private medical insurance.\n, • 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave.\n, • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing.\n\n The above information is a shortened summary, refer to our policies for full details \n You will be responsible for \n You will be directly supporting our strategic Personalisation product teams. Whilst specific responsibilities will be dependent upon the changing needs of the Tesco business (you’ll likely be working on some of the newest innovations in the business), these teams are responsible for a range of product features including triggered communications, recommendation APIs, and growing a personalised digital experience for customers. \n The following list provides an overview of some of the role’s key responsibilities: \n\n • Leading the implementation and use of Adobe’s Customer Journey Analytics (CJA) across a variety of product analytics priorities. This will include working across business and customer teams to validate, utilise, and surface data in the best ways using CJA. \n, • Owning relationships with product managers, UX leads and Data Science Managers, helping them define objectives and key results, setting targets, analysing product releases, defining and validating hypothesis, and making product recommendations based on insight.\n, • Executing end-to-end analysis: gathering and shaping requirements; defining success metrics; identifying and validating various sources of data; identifying and validating methods of analysis; delivering impactful insights and liaising across teams to ensure the best recommendations are identified and acted on. \n, • Using advanced analytics and statistical techniques to answer business questions, making recommendations to improve customer experience and business results.\n, • Being the team expert on digital and product analytics; ensuring that you drive best practice across the team by guiding, training, and mentoring others\n, • Following our Business Code of Conduct and always acting with integrity and due diligence.\n\n This role will best suit someone who enjoys working as part of a team, is well organised, pragmatic, and a lateral thinker with an inquisitive mind who is motivated to make change for the better and, most importantly, puts our customers first. \n The position can be based either in our Digital Innovation Centre in Farringdon, London, or in our head office in Welwyn Garden City, with some occasional travel to the other office required. In line with our values, we strongly embrace flexible working options. \n You will need \n\n • Strong Adobe Analytics skills and understanding of web analytics. Experience of Adobe Journey Optimiser (AJO) or CJA in previous roles preferable, but not required. \n, • Working effectively with multi-disciplinary teams and understanding how to contribute to all phases of the product development lifecycle. Being able to influence and drive innovation without authority.\n, • Excellent verbal and written communication skills – you must be able to articulate complex concepts to a diverse audience.\n, • Several years of experience in analytics positions.\n, • Expert use of digital analytics and visualisation tools for big data analysis. \n, • Statistical modelling and analytics techniques.\n\n Personal Skills: \n\n • Flexibility, ability to plan and organise, responsiveness, creativity, self-starter \n, • Able to build solid working relationships with peers and senior leadership \n, • Ability to demonstrate strong written, verbal communication and presentation skills to all levels of seniority and disciplines within the organisation. \n\n About us \n You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. \n \n At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. \n \n We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, click here for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying.

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n Lendable is revolutionising the credit card industry by making financial tools accessible, intuitive, and empowering. Zable is a Mobile-App first credit card that empowers customers to build their credit score while meeting their spending and borrowing needs sustainably. \n We’re looking for an analytical, commercially-minded Senior Strategy Analyst to help us grow and scale the product exponentially. This is a dynamic role where you’ll tackle high impact business problems across a number of disciplines including pricing, financial forecasting, growth, credit risk, new product development and product analytics. \n You’ll help us solve our most complex multi-dimensional challenges, working cross-functionally to deliver insight-driven strategies that optimise performance, drive responsible growth, and put the customer at the heart of decision-making. \n You’ll operate in a fast-paced environment where ideas matter more than hierarchy, and execution beats bureaucracy. Your work will directly influence who we serve, how we grow, and how we deliver sustainable value. \n Key Responsibilities \n Drive promotions & pricing strategy: \n\n • \n Develop and optimise promotional and pricing strategies through data-driven analysis and experimentation, balancing customer engagement, growth, price elasticity and profitability while continuously refining approaches based on product performance and scenario modelling. \n • \n Build deep insight into marketing campaign and conversion funnel performance, identifying opportunities to improve cost and conversion efficiency. \n • \n Stay abreast of industry trends and competitor activity to ensure our products remain fit for purpose. \n\n Financial forecasting & portfolio analytics: \n\n • \n Collaborate closely with the Credit Risk Analytics, Growth and Data Science teams to understand how our products and portfolio are performing at a granular sub-segment level. \n • \n Define key KPIs and develop detailed monitoring to track performance against these goals, and deliver actionable recommendations to improve outcomes. Use strategic analysis to shape and influence broader business strategy. \n\n Evaluate expansion opportunities: \n\n • \n Navigate through ambiguity to assess the feasibility of new product, channel and segment expansion opportunities. \n • \n Create robust commercial assessment frameworks, build tooling where necessary (e.g. RoI or NPV models) and extract data to support these assessments and deliver clear, insight-driven recommendations. \n\n Influence & execution: \n\n • \n Collaborate with stakeholders across Credit Risk, Data Science, Product and Growth to bring your strategies to life. \n • \n Present insights and recommendations to senior leadership - clear, concise, and backed by data. \n • \n Approach every conversation with an open mind, valuing the strength of ideas over ego or hierarchy. \n • \n Ensure your implemented strategies are working as intended once deployed in production, validating outcomes and iterating as needed. \n\n Fast-track your career growth: \n\n • \n Opportunity to mentor and coach more junior graduate analysts, fostering their technical growth and strategic thinking. \n • \n Well defined career progression pathways to Manager/Senior Manager for high performers. \n\n Your experience \n Essential: \n\n • \n 3+ years of experience in an analytics role in any discipline (e.g. Growth, Credit Risk, Product Analytics, Marketing, etc.) \n • \n Proficiency in coding - ideally SQL and Python \n\n Desirable: \n\n • \n Experience in an FCA-regulated financial services firm \n\n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers. \n Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams. \n Network Infrastructure Engineering is responsible for the fiber design and capacity planning in data centers across the globe. As a Senior Technical Program Manager leader, you will help us continue to improve the global fiber designs and capacity planning. \n You will rely on the fiber design engineering and capacity management expertise they have in the data center industry to provide mentorship and leadership to the overall Network Infrastructure Engineering team, and larger Google Global Infrastructure team. \n Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. \n Minimum qualifications: \n\n • Bachelor's degree in Science, Engineering, Mathematics, related fields, or equivalent practical experience.\n, • RCDD or similar industry certifications.\n, • 8 years of experience in fiber construction, installation and testing.\n, • 8 years of experience in people management.\n, • Experience leading cross-functional reporting and insights across capacity management and reporting.\n\n Preferred qualifications: \n\n • Experience working on gathering customer or product requirements for data center builds.\n, • Strong leadership, organizational, stakeholder management and ability to grow in a fast-moving, cross-functional, global team environment.\n, • Strong organizational, multitasking and prioritization abilities with excellent attention to detail.\n, • Excellent written and verbal communication skills, and a data-driven investigative approach to solving complex challenges, and financial skills.\n\n Responsibilities: \n\n • Manage technical review of electrical and mechanical designs of network space in Google owned facilities.\n, • Mentor team members globally.\n, • Manage rack space, power capacity and reporting.\n, • Build standards and global design of google owned spaces.\n, • Manage overall team reporting of projects and team resource planning.\n

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. \n With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. \n As the Technical Lead Manager, you will work with display and power management technologies for Android OS development across a range of devices. You will ensure the stability and extensibility of critical display and power frameworks for the entire Android ecosystem and partner with various teams including Pixel, Android partners, and internal Google teams to deliver essential support for new features, enable upcoming innovations, and identify and address gaps in Android's display and power capabilities. \n Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world. \n Minimum qualifications: \n\n • Bachelor's degree or equivalent practical experience.\n, • 8 years of experience in software development.\n, • 5 years of experience testing and launching software products.\n, • 3 years of experience with software design and architecture.\n, • 3 years of team leadership or management experience.\n, • 3 years of experience working in one of the following domains: Android, IOS, Embedded, Firmware.\n\n Preferred qualifications: \n\n • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.\n, • 8 years of experience with data structures and algorithms.\n, • 3 years of experience in a technical leadership role leading project teams and setting technical direction.\n, • 3 years of experience working in an organization involving cross-functional, or cross-business projects.\n, • Experience working with program languages such as Java and Kotlin.\n\n Responsibilities: \n\n • Manage a team of software engineers as a Tech Lead Manager (TLM).\n, • Review and contribute to technical design documents, ensuring code quality, testability, and adherence to best practices.\n, • Conduct code reviews and provide constructive feedback to engineers.\n, • Diagnose, debug, and resolve technical issues, including performance and power optimization.\n, • Drive improvements to the team’s development processes and tools.\n

hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role. \n dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. \n dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. \n We are seeking a Lead Engineer – Workplace Technology & Automation to act as an internal consultant across our function. This role will identify opportunities, shape solutions, and help teams implement practical improvements across workplace services, support processes, and platform operations. It is a hands-on, non-managerial position suited to someone with strong Microsoft-centric expertise and a consultative, pragmatic approach. \n Role and Responsibilities \n\n • \n Lead technical architecture reviews, risk assessments, and design decisions. \n • \n Create roadmaps, reference patterns, and reusable checklists to improve delivery quality. \n • \n Drive automation and AI adoption to reduce manual effort and enhance consistency. \n • \n Mature Copilot usage within the workplace environment, building custom agents and plugins for enterprise workflows. \n • \n Design and implement automation using scripting, APIs, and infrastructure-as-code. \n • \n Improve integration between Microsoft 365 and service platforms such as ServiceNow. \n • \n Act as an internal consultant, shaping ideas into workable solutions using agile practices. \n • \n Collaborate with vendors and partners to ensure delivery aligns with internal standards. \n\n Must-Have Skills \n\n • \n 10+ years of strong expertise across the Microsoft stack: Microsoft 365, Copilot, Intune, Entra ID. \n • \n Proven experience designing or delivering automation solutions in enterprise environments. \n • \n Hands-on experience using AI to improve operational processes and support services. \n • \n Proficiency in PowerShell, APIs, scripting, and infrastructure-as-code. \n • \n Experience in agile delivery environments (user stories, backlog-driven delivery). \n • \n Ability to shape roadmaps and turn opportunities into practical, scalable plans. \n • \n Strong stakeholder management and communication skills. \n • \n Prior experience as a senior individual contributor, specialist, or internal consultant. \n\n Good-to-Have Skills \n\n • \n Experience with ServiceNow integrations with Microsoft 365 or workplace services. \n • \n Background in improving service desk or support workflows through automation. \n • \n Experience establishing standards or operating models for AI/automation services. \n • \n Relevant certifications: TOGAF, ScrumMaster, Microsoft SC-300 / MD-102 / AZ-500. \n • \n Exposure to Mac/Linux management environments. \n\n What you can expect from us \n We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. \n You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. \n And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. \n Our approach to Flexible Working \n At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. \n We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. \n For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

hackajob is collaborating with Moneybox to connect them with exceptional professionals for this role. \n About Moneybox \n At Moneybox, our mission is to give everyone the means to get more out of life. We're guided by our belief that wealth isn't about the money, it's about the means to more - more freedom, opportunities, possibilities, and peace of mind. Moneybox is an award-winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether they’re saving and investing, buying their first home, or planning for retirement. \n Job Brief \n We're looking for a senior Marketing Insight & Analytics Lead to join the Data & Insight team on a fixed-term basis. This role is dedicated to supporting our Marketing function, acting as the analytical and technical centre of gravity for everything from campaign measurement to martech data infrastructure. \n You'll work at the intersection of data engineering, analytics engineering, and marketing strategy. You'll refresh the measurement frameworks that tell us whether our marketing is working, and build the data products that make those answers repeatable and trusted. \n What You'll Do \n\n Marketing Measurement & Attribution\n • Lead the design and build of Moneybox's marketing attribution framework\n, • Own incrementality testing: design experiments, define holdout groups, and translate results into actionable media planning recommendations\n, • Develop standardised effectiveness metrics and reporting that span paid, owned, and earned channels\n MarTech Data & Infrastructure \n • Act as the data lead for Moneybox's marketing technology stack, assessing the current state of play and designing the roadmap to make improvements to the data underpinning\n, • Partner closely with Analytics Engineering and Data Engineering teams to ensure martech data flows (AppsFlyer, Google Ads API, Meta Ads API, GCP, Mixpanel) are well-modelled, documented, and trusted\n, • Contribute to the design and governance of marketing data models within the broader data platform (Databricks), including gold/silver/bronze layer definitions relevant to marketing use cases\n, • Identify and close gaps in marketing data coverage; define requirements for new integrations and own their delivery where appropriate\n Data Products & Reporting \n • Build and maintain marketing data products – from campaign performance dashboards to customer acquisition cost models – that are used regularly by marketing leads and senior stakeholders\n, • Define and document sources of truth for key marketing KPIs, ensuring consistency across reporting surfaces\n, • Own the marketing reporting layer in Power BI (or equivalent), ensuring outputs are accurate, timely, and interpretable by non-technical audiences\n, • Leverage AI to automate routine reporting, draft performance narratives, and surface key trends or anomalies\n Stakeholder Partnership \n • Serve as the primary data and analytics partner for the Marketing team, translating commercial questions into analytical briefs and technical requirements\n, • Support media planning cycles with data-driven audience segmentation, channel mix analysis, and budget allocation modelling\n, • Represent the Data & Insight team in cross-functional marketing planning forums, contributing to roadmap prioritisation\n\n Who You Are \n\n • A senior individual contributor who is comfortable building technical solutions as you are communicating them to non technical stakeholders\n, • Deeply curious about marketing effectiveness: you have opinions about the limits of last-click attribution and the conditions under which MMM is and isn't trustworthy\n, • A clear communicator who can make complex measurement concepts accessible to marketing and commercial stakeholders without dumbing them down\n, • Excited about fintech and the particular measurement challenges that come with a regulated, app-first, long-consideration financial product\n, • Comfortable with ambiguity and able to operate with autonomy in a fast-paced environment where the brief sometimes evolves mid-sprint\n\n Experience & Skills \n\n Essential\n • 5+ years in a marketing analytics, data science, or analytics engineering role with a strong focus on marketing measurement\n, • Hands-on experience with multi-touch attribution methodologies and media mix modelling\n, • Strong SQL skills; experience using it for data manipulation, data analysis, and modelling\n, • Direct experience with mobile attribution platforms, particularly AppsFlyer\n, • Familiarity with the privacy landscape across both app (e.g. iOS SKAdNetwork) and web (e.g. cookie deprecation), and how to navigate the resulting measurement challenges\n, • Experience working with advertising platform APIs (Google Ads, Meta Ads) for data extraction and pipeline automation\n, • Familiarity with GCP data services and event analytics platforms (Mixpanel or equivalent)\n, • Demonstrable experience building data products and self-serve reporting assets used by non-technical stakeholders\n, • Track record of designing and analysing incrementality experiments or A/B tests in a marketing context\n Desirable \n • Experience with dbt (Cloud or Core) for transformation layer development\n, • Familiarity with Databricks or similar modern data lakehouse platforms\n, • Experience with Power BI (or similar data visualisation tool)\n, • Experience in a regulated financial services or fintech environment\n, • Exposure to customer data platforms (CDPs) or CRM data integration (e.g. Braze)\n, • Experience working within or alongside analytics engineering teams and contributing to shared data models\n, • Understanding of CI/CD practices for data pipelines\n, • Experience with Python for data manipulation, modelling, and pipeline work\n\n Whats In It For You \n\n • Join a fast-growing, award-winning company with genuine ambition to improve people's financial lives\n, • Work in a team that takes data quality and analytical rigour seriously, with a modern stack and strong engineering culture\n, • Dedicated, focused remit – you'll be the subject matter expert in your domain, with real ownership and visibility\n, • Hybrid working: 2 days from our London office, 3 from home\n, • Competitive FTC compensation package\n

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. \n As a Lead DevOps Engineer at JPMorganChase within the Global Electronic Trading Group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. \n The Execution Services Technology department is looking for a DevOps team member who can support the latency Electronic Trading, Data Analytics and Quant environments. The role will be based in London, and will entail both working closely with the London Business and our Global partners \n Job responsibilities \n\n • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors\n, • Develops secure and high-quality production code, and reviews and debugs code written by others\n, • Drives decisions that influence the product design, application functionality, and technical operations and processes\n, • Serves as a function-wide subject matter expert in one or more areas of focus\n, • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle\n, • Influences peers and project decision-makers to consider the use and application of leading-edge technologies\n, • Adds to the team culture of diversity, opportunity, inclusion, and respect\n, • Coordinates DevOps / Integration release management activities\n, • Monitoring & Management of Plant Capacity & Reporting\n, • Management of Continuous Integration Environment\n, • Third Level Support Production Support\n\n Required qualifications, capabilities, and skills \n\n • Hands-on practical experience delivering system design, application development, testing, and operational stability\n, • Advanced in one or more programming language(s)\n, • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)\n, • Ability to tackle design and functionality problems independently with little to no oversight\n, • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field\n, • Linux: understands the OS architecture, fluent user of the command line, can fluently speak either Perl or Python, UNIX scripting, Java\n, • Cloud native: skilled in building and running applications that fully leverages cloud computing, using technologies like microservices, containers, and dynamic orchestration\n, • CI/CD: Hands on experience of CI/CD technologies like Jules, Jenkins are highly desirable. Exposure to release management tools is needed.\n, • Automation/Tools Development: Design/Develop/maintain automated tools for toil reduction, reporting based on python and other scripting language \n \n\n Preferred qualifications, capabilities, and skills \n\n • AWS experience\n, • Kubernetes\n, • Terraform\n\n ABOUT US \n JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with LexisNexis to connect them with exceptional professionals for this role. \n Senior Data Scientist I \n Excited to uncover insights from complex data and turn them into impactful business decisions? \n Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? \n About the team: \n LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world’s most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. \n Protégé in PatentSight is LNIP’s next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. \n About the role: \n We are seeking a Senior Data Scientist I to help with the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. \n Key Responsibilities: \n\n • \n Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). \n • \n Define agentic workflows and reasoning strategies for multi-step IP tasks. \n • \n Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). \n • \n Analyse large-scale IP datasets to extract insights and improve model performance. \n • \n Establish best practices for model evaluation, validation, and benchmarking. \n • \n Translate experimental results into clear product recommendations and business impact. \n • \n Collaborate with product, IP experts, and engineers to align solutions with user needs. \n\n Requirements: \n\n • \n Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). \n • \n Strong experience in machine learning, NLP, and LLM-based modeling. \n • \n Strong experience designing and running experiments, including model evaluation and iteration. \n • \n Strong coding skills in Python. \n • \n Experience with generative AI techniques (e.g., prompt engineering, RAG). \n • \n Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. \n • \n Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. \n • \n Proficiency in data analysis tools. \n • \n Strong foundation in statistics, modeling, and large-scale text processing. \n\n Why Join Us? \n Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. \n Work in a way that works for you \n We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. \n\n • \n Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. \n\n Working for you \n We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: \n\n • \n Generous holiday allowance with the option to buy additional days. \n • \n Health screening, eye care vouchers, and private medical benefits \n • \n Wellbeing programs \n • \n Life assurance \n • \n Access to a competitive contributory pension scheme \n • \n Save As You Earn share option scheme. \n • \n Travel Season ticket loan. \n • \n Electric Vehicle Scheme \n • \n Optional Dental Insurance \n • \n Maternity, paternity, and shared parental leave \n • \n Employee Assistance Programme \n • \n Access to emergency care for both the elderly and children \n • \n RECARES days, giving you time to support the charities and causes that matter to you. \n • \n Access to employee resource groups with dedicated time to volunteer. \n • \n Access to extensive learning and development resources \n • \n Access to the employee discounts scheme via Perks at Work \n\n About the business- \n At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measureds by how well we deliver these results. \n We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. \n We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. \n Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. \n Please read our Candidate Privacy Policy. \n We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. \n USA Job Seekers: \n EEO Know Your Rights.

hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role. \n dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. \n dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. \n Tesco Media and Insight Platform is a partnership between Tesco, the UK's largest grocery retailer, and dunnhumby, a global leader in Customer Data Science. Together, we always put the customer first. \n Everything we do is fuelled by the insights generated via over 23 million Clubcard households, a diverse, nationally representative, first-party behavioural dataset. We empower brands with granular insights so they can identify their most important customers and understand what matters to them. \n Why join us? \n We're looking for a Media Sales Administrator to support our growing Tesco Media Sales team. This is a great opportunity to join a fast-paced, market-leading media business and play a key role in ensuring campaigns are delivered smoothly from booking through to invoicing and reporting. \n You'll work closely with teams across Tesco Media, providing administrative support, coordinating campaign activity and helping to maintain the systems, processes and data that keep our business running efficiently. \n What you'll be doing \n\n • Managing campaign bookings, contracts and invoicing processes\n, • Maintaining sales systems and ensuring data is accurate and up to date\n, • Supporting pipeline management and campaign administration\n, • Assisting with audience creation and segmentation for media campaigns\n, • Supporting campaign measurement and reporting activities\n, • Ensuring actions and deliverables are completed accurately and on time\n, • Identifying opportunities to improve processes and ways of working\n, • Building strong working relationships with teams across the Tesco Media business\n\n What we're looking for \n\n • Excellent attention to detail and a highly organised approach\n, • Strong communication and relationship-building skills\n, • Ability to manage multiple priorities in a fast-paced environment\n, • A proactive, motivated and adaptable mindset\n, • Confidence working with systems, processes and administrative tasks\n, • A willingness to learn and continuously improve how work gets done\n\n What you can expect from us \n At Tesco Media, you'll work alongside talented colleagues in a collaborative and supportive environment where your contribution makes a real impact. You'll gain exposure to one of the UK's most advanced retail media businesses while developing valuable commercial, operational and media industry experience. \n What you can expect from us \n We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. \n You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. \n And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. \n Our approach to Flexible Working \n At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. \n We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. \n For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role. \n dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. \n dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. \n We’re looking for a talented Account Manager who is passionate about working in Retail Media with the UKs largest retailer. \n The Account Manager is a strategic and enthusiastic solution-driver, with a deep understanding of all Tesco Media & Insights channels and ad solutions. Central to this role will be to lead the planning, delivery and reporting of our client’s media and measurement campaigns. You will be responsible for supporting key client relationships, providing consultative product and solution recommendations through technical and analytical expertise. The Account Manager partners with sales Client Partners to build relationships and drive long-term revenue. Successful candidates will demonstrate strong client servicing, underpinned by consultative sales and analytical skills. \n Key Accountabilities \n\n • Support the achievement of quarterly + yearly revenue goals and growth strategy for key FMCG partners.\n, • Guide media / channel strategy and planning for our advertiser partners, working with both client direct and their agency partners.\n, • Leverage data and insights to deliver innovative, best-in-class retail media activations across the Tesco Media & Insights platform.\n, • Drive deeper partnership engagement through scaled coverage across key stakeholders (Shopper, Brand, Digital, Media, Commerce & Loyalty teams).\n, • Partner internally with Sales Client Partners, Media Enablement and Data Analysts to deliver against KPIs, driving business outcomes.\n, • Navigate complex cross channel projects with multiple stakeholders both internally & externally.\n, • Recommend and oversee client measurement strategy, analysing and presenting results.\n, • Identifying and communicating performance trends and insights to guide upsell / optimization recommendations with advertisers.\n, • Product expert across Tesco Media & Insights ad eco-system, driving client adoption of media channels\n, • Be confident challenging client strategy to maximise the role Tesco Media and Insights platform plays in delivering meaningful business outcomes.\n\n What we expect from you: \n\n • 2 years + experience in the advertising industry, either in media sales / retail media, and/or media agency.\n, • Passion for Retail Media and Tesco Media & Insights platform products and services.\n, • Extensive knowledge of brand, performance & digital marketing ecosystem’s and performance metrics.\n, • Skilled in the use of Excel / Powerpoint, with experience managing complex data-sets and insights.\n, • Results-driven, self-motivated and highly goal-oriented in order exceed targets.\n, • Confident communicator and presenter, comfortable in fast-paced environments.\n, • A consultative style with the ability to understand clients’ business needs and position solutions in a timely and personalised way.\n, • Ability to work in a fast-moving company and be adaptable to change.\n, • A team player with the ability to collaborate with internal departments and teams.\n\n Minimum qualifications \n\n • Bachelor’s degree or equivalent in any subject\n, • Fluent English\n\n What you can expect from us \n We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. \n You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. \n And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. \n Our approach to Flexible Working \n At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. \n We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. \n For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us in shaping the future of AI at JPMorganChase, where you can make a real impact by building autonomous agents that solve critical challenges. We value your expertise and encourage you to pioneer new approaches, bridging theory and practice while collaborating with talented teams across the globe to help define how AI transforms the world's largest bank. Experience career growth, mentorship, and the excitement of building next-generation solutions. \n We're developing an AI platform and desktop application that helps users automate their document processing workflows at the world's biggest bank, already operating at hundreds of documents per second and doubling every three months, leveraging agentic systems that are powerful, truly generalizable, and scalable while maintaining security in a highly sensitive enterprise environment. \n As a Machine Learning Engineer in the Applied Artificial Intelligence and Machine Learning team within Commercial & Investment Banking, you will design and deliver production architectures for AI-powered products and services, working at the intersection of software engineering and scientific research to translate innovative ideas into scalable enterprise solutions. You will collaborate with cloud and SRE teams in a role that offers flexibility for individual contributors and optional management responsibilities, depending on your interests and experience. You will help shape the team culture and drive impactful change. \n Job Responsibilities: \n\n • Design and deliver enterprise-grade machine learning systems\n, • Collaborate with cloud and SRE teams to build robust production architectures\n, • Translate scientific research into scalable ML solutions\n, • Develop and deploy business-critical, data-intensive applications\n, • Implement distributed, multi-threaded, and scalable applications\n, • Build, test, and deploy automated pipelines for ML solutions\n, • Leverage foundational libraries and services for re-use across teams\n, • Apply best practices in software engineering and computer science\n, • Utilize MLOps tools for versioning, reproducibility, and observability\n, • Align ML problem definitions with business objectives\n, • Mentor and support team members, with optional management responsibilities\n\n Required Qualifications, Capabilities, and Skills: \n\n • Experience in machine learning engineering roles\n, • Degree in a quantitative discipline (Computer Science, Mathematics, Statistics)\n, • Proven ability to develop and deploy business-critical, data-intensive applications\n, • Extensive experience with AWS and Kubernetes\n, • Proficiency with lower-level libraries such as PyTorch and NumPy\n, • Hands-on experience implementing distributed, multi-threaded, and scalable applications\n, • Experience with automated building, testing, and deployment pipelines\n, • Familiarity with higher-level interfaces like Pydantic AI and Langraph\n, • Strong understanding of computer science fundamentals and development best practices\n, • Broad knowledge of MLOps tooling for versioning, reproducibility, and observability\n, • Ability to understand business objectives and align ML problem definitions\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience mentoring or leading teams\n, • Knowledge of agentic AI concepts\n, • Experience designing reusable libraries and services\n, • Interest in bridging scientific theory and enterprise-grade systems\n, • Passion for innovation and continuous learning\n\n Why Join Us? \n You will be part of a pioneering team that is transforming banking with AI. We offer opportunities for career growth, mentorship, and the chance to work on impactful projects that shape the industry. Your expertise will help us build the next generation of AI solutions, making a difference for our clients and communities worldwide. \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n We’re looking for a technical Lead Data Scientist (IC3) to join our growing KYC (Know Your Customer) and Onboarding Team in London. \n This role is a unique opportunity to understand the customer onboarding & Know Your Customer domain, how we mitigate risk leveraging data science techniques, and at the same time how to provide our customers with the seamless experience they deserve. What you build will have a direct impact on Wise’s mission and millions of our customers. \n About the Role: \n Our verification team is responsible for the processes related to KYC (Know Your Customer) checks performed on consumers and businesses during onboarding. Within the team, our data scientists implement machine learning models and systems that support Document verification. \n We are looking for someone to own training, iteration, and management of our machine learning models’ life cycle, and be responsible for the overall training, testing, model performance analysis, and research further modifications to our KYC systems. \n Here’s how you’ll be contributing: \n\n • \n Actively participate in planning and ideation of data science projects in collaboration with integrated cross-functional teams \n • \n Uncover opportunities and provide expertise on applying machine learning/data science techniques \n • \n Clearly articulate the value, limitations, and potential impact of data science initiatives to stakeholders with diverse levels of understanding \n • \n Manage and create large image and tabular datasets related to KYC processes \n • \n Iterate on our deep learning image models \n • \n Measure and optimise performance of our machine learning models \n • \n Maintain and develop a large Python codebase with industry-standard best practices \n • \n Keep up-to-date with the rapidly developing field of machine learning and research how to incorporate new ideas on systems that benefit our customers directly in production \n • \n Research the domain of Document verification to learn the best ways to prevent criminal activity \n • \n Provide mentorship to junior team members, promoting their growth in data science skills and adherence to industry standards \n\n Office: London, UK (Hybrid) \n Salary range: GBP 90.5K-127K yearly gross based on experience and interview outcomes* \n Key benefits: \n\n • \n Flexible working - whether it’s working from home, school plays or life admin we get that flexibility is essential and you’re trusted to do the right thing and be responsible \n • \n Stock options in a profitable company \n • \n Relocation support \n • \n Generous parental leave \n • \n Pension scheme \n • \n Paid sabbatical \n • \n Loads of development opportunities \n • \n Sports and wellbeing compensation \n • \n A fun work environment with social activities and events \n • \n The opportunity to work with super smart, curious people \n\n Additional Information \n We’re people without borders — without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in. \n Also, qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you. \n And because we believe that diverse teams build better products, we’d especially love to hear from you if you’re from an under-represented demographic. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram. \n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. \n At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. \n If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. \n Skills and Competencies \n\n • ML/GenAI Delivery in Enterprise: 5+ years of experience leading end-to-end delivery of AI/Machine Learning initiatives across complex environments\n, • Agile Leadership: Coaches Scrum/Kanban practices; drives ceremonies and continuous improvement\n, • Backlog & Execution: Builds, prioritizes, and manages backlogs; aligns scope, timeline, and quality across squads\n, • Stakeholder Communication: Delivers project status updates, manages dependencies/risks, and facilitates decisions\n, • Project Reporting & Governance: Maintains dashboards and documentation; enforces delivery standards and controls\n, • Tools: Jira, Confluence, Agile estimation (story points, velocity, burndown)\n, • Technical Fluency (Preferred): Working knowledge of data science workflows, coding concepts, AWS, and enterprise deployments\n, • Multi-Squad Coordination (Preferred): Experience scaling delivery across regions and cross-functional teams\n, • Familiarity with Machine Learning and GenAI tools and frameworks\n, • Good knowledge of finance concepts, notably financial analysis\n, • Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency\n, • Proven ability to implement AI-powered solutions to solve business challenges\n\n Education \n\n • Bachelor’s or master’s degree in computer science, engineering, or a related field is preferred. Candidates with business-related degrees will also be considered, provided they have prior hands-on technical experience\n, • Professional certifications such as PMP (Project Management Professional), AWS Certified Cloud Practitioner, or equivalent delivery/Agile certifications (e.g., SAFe, Scrum Master) are highly desirable\n\n Responsibilities \n\n • Oversee planning, execution, and release of multiple ML/Gen AI projects aligned with strategic objectives\n, • Manage dependencies across internal and external squads, ensuring smooth progress and timely delivery of product increments\n, • Facilitate quarterly planning and roadmap alignment with engineering and product teams\n, • Champion Agile methodologies (Scrum, Kanban) and coach cross-functional teams to embed Agile mindsets\n, • Facilitate ceremonies, retrospectives, and workshops to foster adaptability and innovation\n, • Engage with senior stakeholders across the organization, including analytical and technology teams\n, • Ensure transparency through dashboards, objectives and key results, and performance reporting\n, • Assist with running product pilot programmes, product rollouts, user feedback collection in the product management cycle\n, • Identify and mitigate delivery risks proactively\n, • Track quality metrics and drive continuous improvement\n, • Partner with data science, ML operations, and front-end teams to optimise release processes and reduce time-to-market\n, • Ensure alignment of delivery with product vision and business strategy\n\n About The Team \n Moody’s Ratings’ AI Analytics group develops advanced ML/GenAI for high-profile data science initiatives. The successful candidate will guide teams in building robust, scalable, and secure ML/Gen AI solutions. The successful candidate will strive to meet Moody’s values: openness, diversity, inclusivity, respect, and a willingness to learn. \n Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. \n Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Are you passionate about transforming data into actionable insights? Join our Transformation & Innovation team, where you'll help shape the future of financial analysis at JPMorganChase. You'll have the opportunity to grow your career, collaborate with talented colleagues, and make a real impact by building data products that empower our Planning & Analysis community. We value your curiosity, creativity, and drive to deliver solutions that make data accessible and meaningful. \n As a Planning and Analysis Data Modeler - Senior Associate within the Corporate Financial Analysis team, you will design and implement end-to-end data models that enhance accessibility and understanding for a diverse range of users. You will work closely with finance, analytics, and technology teams to build and refine data models, making information easier to use and standardizing data across the organization. Your role is central to improving data pipelines and supporting innovation, helping us deliver high-quality solutions that drive business performance. \n Job responsibilities \n\n • Design, develop, test, and refine data models and analytic prototypes\n, • Solve complex data challenges at the intersection of finance and technology\n, • Support the development of cloud-based data lakehouse solutions for Planning & Analysis\n, • Guide and support data consumers in leveraging data products for analytics and planning\n, • Utilize AI-assisted coding tools to accelerate development and optimize SQL\n, • Identify opportunities to embed AI into Planning & Analysis workflows\n, • Work with diverse data sets to support various Planning & Analysis processes\n, • Collaborate with senior team members on solution design\n, • Inspire innovation and champion change across teams within JPMorganChase\n\n Required qualifications, capabilities, and skills \n\n • Strong analytical and problem-solving skills with attention to detail\n, • Hands-on experience building and prototyping data models to address user needs\n, • Proficient in SQL and Python for data analysis, engineering, and transformation\n, • Relevant experience developing, testing, and refining data models using dimensional and relational approaches\n, • Curious mindset with a drive for continuous improvement\n, • Familiarity with prompt engineering principles and LLM-based tools\n, • Effective communication skills to present data findings and support users\n, • Experience with ETL/ELT processes and architecture in data pipelines\n, • Experience building models for dashboard or cube consumption\n, • Familiarity with cloud-based data lake platforms such as AWS, Azure, or Google Cloud\n, • Bachelor's degree in computer science, data science, information systems, business analytics, or related discipline\n\n Preferred qualifications, capabilities, and skills \n\n • Experience with Databricks and notebook-based development\n, • Experience working with financial and workforce datasets\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n Team you will be working with: Receive Risk \n The Receive Risk team is part of Acquiring Squad, in the Global Product tribe, dedicated to ensuring customers can receive money quickly and securely, using our full suite of Acquiring products. We build smart fraud detection and prevention systems to stop scammers and fraudsters from exploiting Wise or defrauding our customers. \n Supporting our full suite of Acquiring products — QuickPay, Payment links, Invoices, e-commerce, and more — we work closely with our financial crime teams to strike the perfect balance: seamless experiences for legitimate users, strong barriers against bad actors. \n What will you be working on? \n We're looking for a Backend Engineer to build a fraud engine that will help us ship new products and features quickly while keeping risk and cost low. This will involve working closely with Product, Data Science, Fraud Prevention Analysts and our Fraud agents to strike the right balance between scaling quickly and mitigating risk efficiently. \n What do you need? \n\n • \n Hands-on experience with distributed systems, including microservices architecture and backend services supporting large-scale traffic. \n • \n Proven ability to deliver high-performance, low-latency systems with a focus on speed, scalability, and reliability. \n • \n Strong product-oriented mindset, with end-to-enpd ownership of features and close collaboration across teams. \n • \n Proficiency in Java (preferred) or solid experience with similar backend programming languages. \n • \n Familiarity with messaging systems such as Kafka or RabbitMQ, and strong knowledge of relational databases (SQL). \n • \n Excellent communication and collaboration skills, combined with a growth mindset and focus on delivering user and business value. \n\n Nice to Have: \n\n • \n Understanding of basic machine learning concepts and experience building data pipelines. \n • \n Mentorship experience, helping team members grow and contributing to a culture of continuous learning. \n\n Additional Information \n Interested? Find out more: \n\n • \n How we work - a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it’s like to work at Wise London \n • \n Our engineering career map \n\n Wise Engineering – https://medium.com/wise-engineering \n What do we offer: \n\n • \n Starting salary: £87,000 - £111,000 + RSU \n • \n Wise Benefits \n\n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. \n Skills and Competencies \n • 3+ years of experience in backend software development, building scalable, resilient, and production-grade systems \n - Hands-on experience developing AI-powered applications, including large language models (LLMs), AI agents, retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization techniques \n - Proven ability to take AI solutions from concept and experimentation through to production deployment, optimizing for performance, reliability, scalability, and cost \n - Strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including Docker, ECS, and Kubernetes \n - Proficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high-performance data storage and retrieval \n - Experience designing and building APIs, distributed systems, and event-driven architectures in modern programming languages such as Python, TypeScript, Java, Go, or similar \n - Familiarity with MLOps practices, model monitoring, observability, versioning, and automated deployment pipelines preferred \n - Strong problem-solving skills with the ability to navigate ambiguity, experiment rapidly, and deliver impactful solutions that create measurable business value \n - Excellent communication and collaboration skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholders \n Education \n • Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field \n Responsibilities \n As a Software Engineer specializing in AI systems, you will help shape the next generation of intelligent applications by building scalable platforms that bring cutting-edge AI capabilities into real-world production environments \n - Design and build scalable backend platforms, APIs, and services that power AI applications, intelligent automation solutions, and AI agents \n - Develop and deploy advanced LLM-powered applications using techniques such as retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization \n - Create robust data and inference pipelines that support both real-time and batch AI workloads at enterprise scale \n - Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and services \n - Build systems that enable AI agents to reason, automate tasks, interact with tools, and solve complex business challenges autonomously \n - Optimize applications for performance, scalability, reliability, and cost efficiency while supporting increasing AI adoption and usage \n - Implement engineering best practices around observability, monitoring, testing, security, and operational excellence \n - Establish and champion MLOps practices including model lifecycle management, prompt versioning, automated evaluation, and continuous improvement \n - Build reusable frameworks, developer tooling, and platform capabilities that accelerate AI innovation across multiple teams \n - Participate in architecture discussions, technical design reviews, and engineering initiatives that influence the future direction of AI products \n - Mentor engineers, share technical expertise, and contribute to a culture of innovation, experimentation, and continuous learning \n About the Team \n Our Innovation team is responsible for building next-generation internal and external products powered by cutting-edge artificial intelligence technologies, including large language models, AI agents, machine learning, and natural language processing. \n The group is made up of a diverse set of engineers, data scientists, and AI specialists who are passionate about solving complex challenges and turning breakthrough ideas into real-world solutions. We operate in agile, highly collaborative squads focused on delivering innovative products that enhance productivity, unlock insights, and create measurable business impact. \n Collaboration is at the heart of everything we do. Engineers have the opportunity to work across the full AI lifecycle, from experimentation and prototyping through to large-scale production deployment. Joining our team means working on some of the most exciting challenges in applied AI, contributing to products used across the organisation, and being part of a culture that values curiosity, innovation, knowledge sharing, and continuous growth.

hackajob is collaborating with Sainsbury's DTD to connect them with exceptional professionals for this role. \n At Sainsbury’s, data sits at the heart of how we operate, innovate and serve our customers. Our Data & Analytics team is building a technically advanced, commercially focused and impactful capability, powering our Next Level Strategy and helping to create a Sainsbury’s powered by industry leading AI algorithms. We use data, technology and advanced analytics to drive better decisions across the business, from forecasting and optimisation to experimentation, personalisation and machine learning. With one of the richest retail datasets I n the UK and a portfolio spanning Sainsbury’s, Argos, Habitat and Nectar, the opportunity to innovate is huge. Here, you’ll tackle complex challenges at scale, create measurable impact and grow quickly alongside brilliant colleagues. People who thrive with us combine business understanding, technical expertise and curiosity, with a natural instinct for problem-solving. Join us and help shape the future of retail through data and AI. \n Why join us \n Joining Sainsbury's as a Metadata & Data Quality Analyst offers a unique opportunity to play a pivotal role in enhancing data quality and driving impactful changes within the organisation. As part of our team, you will have the chance to manage and optimise the Group Data Catalogue, implementing data quality processes, and collaborating with stakeholders to ensure data integrity and value. With a focus on continuous improvement and innovation, you will be at the forefront of shaping data-driven solutions and contributing to the organisation's success. At Sainsbury's, you will be part of a dynamic and forward-thinking environment that values excellence, collaboration, and professional growth. \n What you'll do \n To drive and deliver the operational management of ‘assured data’ across the organisation, by progressing data quality improvements/controls and the Group Data Catalogue content and ownership, to ensure analytics, insights and decisions are based on validated data. The role will involve working across multiple teams, a mix of systems with a range of tools and technologies. \n As a Metadata & Data Quality Analyst at Sainsbury's, your primary responsibility will be to manage and optimise the operational management of the Group Data Catalogue, ensuring that data quality is continuously improved through profiling, rule implementation, and triage processes. You will play a crucial role in developing and implementing data catalogue processes that enable users to work with data efficiently, supporting rapid discovery, prototyping, and data science initiatives that drive production solutions. Your role will involve identifying and prioritising artefacts for ingestion, maintaining the Group Data Catalogue, and collaborating with stakeholders to address data quality issues promptly and effectively. By facilitating source system data quality remediation and coordinating with the data ownership community, you will drive appropriate data quality improvements while prioritising and completing tasks within agreed timeframes. \n What you need to know and show \n As a Metadata & Data Quality Analyst at Sainsbury's, you are a meticulous and analytical professional with a deep understanding of data quality management and metadata analysis. With a focus on improving data quality and ensuring the integrity of the Group Data Catalogue, you possess the expertise to develop and implement data quality triage processes, identify root causes of data quality issues, and drive continuous improvement initiatives. Your ability to prioritise work effectively, collaborate with stakeholders across the organisation, and leverage technology for data cataloguing and profiling makes you a valuable asset in ensuring high-quality data standards and operational efficiency within the company. \n Essential Skills: \n\n • Advanced SQL with hands-on experience in Snowflake, including query optimisation, profiling, and schema management\n, • Hands-on experience with a data catalogue platform (Alation strongly preferred)\n, • Practical experience implementing or operating data quality rules, checks, and triage processes.\n, • Familiarity with data quality tooling (Alation Data Quality / Soda or equivalent).\n, • Understanding of metadata concepts: stewardship, ownership and classification.\n, • Awareness of data governance frameworks and their practical application\n\n Desirable Skills: \n\n • GitHub working knowledge\n, • Python scripting for automation, data quality checks, and pipeline integration\n, • GitHub for version-controlled configuration, pull requests, and CI/CD workflows\n, • Previous experience of creating reporting and visualisations, Power BI or other\n, • Awareness of Data Vault Modelling\n, • Understanding of design and development of data stores, digital solutions and data warehouses and associated toolsets.\n, • Data and information management lifecycles\n, • Knowledge and use of data quality methodologies, approaches, and processes\n, • How to undertake triage, root cause analysis and resolution- Desirable\n, • Understanding of JIRA- Desirable \n, • Understanding of Agile principles- Desirable\n\n Skills and Behaviours \n\n • Own it - takes full accountability for data quality issues through to resolution.\n, • Make it better - identifies opportunities to improve data availability that is trusted.\n, • Be human – Engaging with Senior Engineers and Architects to create standardised processes; builds great working relationships with colleagues (technical and non-technical) and shows care and respect to everyone. \n\n #DataAndAnalytics \n #Analytics \n #LI-CM1 \n We are committed to being a truly inclusive retailer so you’ll be welcomed whoever you are and wherever you work. Around here, there’s always the chance to try something new — whether that’s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we’ll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 10% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance and you can buy up to an additional week's holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an employee assistance programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks’ pay for maternity or adoption leave and up to 4 weeks’ pay for paternity leave. Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Help shape the next wave of Applied AI innovation in Markets Operations by turning ideas into production-ready solutions. You will build practical AI capabilities that improve workflows, strengthen controls, and unlock productivity for teams across the organization. Working alongside engineers, AI specialists, and operations partners, you will bridge cutting-edge techniques with enterprise-grade systems. At JPMorganChase, you can grow your career through meaningful work, strong mentorship, and hands-on ownership. Join a team that values creativity, collaboration, and continuous learning. \n As an Applied AI Engineer in the applied AI team within Markets Operations, you will design, build, test, and deploy scalable AI services integrated with strategic systems and operational processes. You will collaborate with software engineers, AI and data science specialists, operations stakeholders, and business partners to improve operational workflows, controls, and the software development lifecycle. You will focus on hands-on engineering across Python services, APIs, data pipelines, infrastructure, monitoring, and production readiness. You will build domain knowledge across Markets Operations and translate real workflow pain points into durable solutions. You will contribute to a culture of innovation, collaboration, and engineering excellence. \n Job Responsibilities \n\n • Contribute to technology and architecture patterns that enable AI solutions across Markets Operations and software engineering use cases\n, • Build and enhance robust, scalable, reusable AI services and supporting infrastructure using modern technologies\n, • Collaborate with AI and data science specialists to design, develop, test, and deploy services integrated with strategic systems and operational processes\n, • Learn Markets Operations processes and apply that knowledge to develop practical solutions and integrations with banking operations systems\n, • Evaluate new AI infrastructure technologies and share findings to inform team technical decisions\n, • Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing\n, • Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability\n, • Partner with operations stakeholders to understand workflow pain points and translate them into practical technology solutions\n\n Required Qualifications, Capabilities, and Skills \n\n • Hold a Bachelor's or Master's degree in Computer Science, Software Engineering, a related field, or equivalent practical experience\n, • Demonstrate strong Python programming skills\n, • Design, develop, and integrate RESTful APIs, such as with FastAPI\n, • Build and support ETL and data pipeline engineering workflows\n, • Apply Infrastructure as Code practices, such as Terraform, and work within CI/CD pipelines\n, • Design and integrate databases and data models\n, • Apply monitoring practices and understand controls and compliance concepts in production environments\n, • Communicate effectively in writing and verbally, explaining technical concepts to technical and non-technical audiences\n, • Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work\n\n Preferred Qualifications, Capabilities, and Skills \n\n • Apply AI and machine learning concepts with a strong interest in applied AI productization\n, • Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets, or enterprise technology\n, • Demonstrate familiarity with Markets Operations processes such as trade lifecycle, post-trade operations, reconciliations, controls, or exception management\n, • Use AWS and tools such as MLflow\n, • Develop front-end capabilities with React or modern front-end development\n, • Apply graph database modeling concepts\n\n Why Join Us? \n Your contributions will help redefine what's possible in financial services. You'll be part of a team that values creativity, collaboration, and continuous learning, empowering you to make a real impact and grow your career. \n #CIBAppliedAI \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. \n Job Summary \n As an Associate or a Vice President in the Quantitative Trading & Research (QTR) Securities Services and Payments, you will support the business in tackling their most technically complex business problems to optimize revenue and manage risks. This could range from developing AI/ML applications that make business-critical predictions such as client pricing, to handling vast data sets using the J.P.Morgan's Cloud capabilities or optimal hedging policies for interest rate risk management. You will be in tight partnership with the business in identifying their most pressing pain points and iterating towards a solution that really works for them. If you are passionate about solving real-world problems using your quantitative background and experience, this may be just the team for you. \n Job responsibilities \n\n • Work with business leads to develop AI/ML-driven analytics and automation that support their business goals.\n, • Build up a scalable data architecture to handle the large volume of transaction data\n, • Automate existing manual processes and build tools to enable the business to optimize their decision making and deposit management\n, • Build sequential decision making tools to optimize the net interest income of the business under various liquidity, capital and balance sheet constraints\n, • Drive projects end-to-end, from brainstorming, prototyping, data processing, data analysis to model development\n, • Make real-world, commercial recommendations through effective presentations to various stakeholders\n, • Leverage data visualization to communicate quantitative insights to help business decision-making\n, • Work closely with colleagues in Quantitative Research, CIB Treasury, Chief Investment Office, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward\n\n Required qualifications, capabilities, and skills \n\n • Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc\n, • Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application\n, • Experience in tackling real world data science problems, end-to-end from prototype to production, using Python\n, • Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience\n, • Passion for learning, sharing knowledge, building collaborations, and getting things done\n\n Preferred qualifications, capabilities, and skills \n\n • Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub\n, • You demonstrate hands-on experience in solving sequential decision making problems\n, • Experience in applying LLMs and/or deep learning methods to solve business problems\n, • Experience in working with Cloud and/or HPC environments\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n The United Kingdom Sovereign Operations team in Google Public Sector delivers, operates and secures private cloud services. We aim to provide the flexibility, reliability, and scalability of public cloud for customers with high security requirements that can only be met in a private cloud environment. We deliver and operate these private cloud deployments for the most critical customers, helping scale, secure and maintain the deployment and working closely with Google product teams to continually improve our technology. \n As a Network Operations Engineer, you will be part of a team of engineers that deploys and operates our private cloud services and underlying networks for critical customers in the UK. You will design and operate reliable and resilient networks, automate changes, implement monitoring, and manage core network components. Your work will bridge cloud native infrastructure engineering and platform networking, focusing on software defined networking within a Kubernetes architecture. You will be the glue that keeps containerized, and cloud-hosted services up and running, responsible for configuring and maintaining cloud platform infrastructure, virtual networking resources, and automation workflows from inception to optimization and will participate in an on-call rotation to ensure incidents can be swiftly resolved. \n Must be a British citizen to meet compliance and security clearance requirements. The office location will be a satellite site in Hampshire, with occasional travel to London. This is an on-site position, requiring a standard five day per week schedule in the office. \n Minimum qualifications: \n\n • Bachelor's degree in Computer Science, Computer Networking, Information Security, or a related technical field, or equivalent practical experience.\n, • 3 years of experience with Linux Systems Administration and kernel level/data plane cloud native networking.\n, • Experience with one or more scripting languages e.g. Python, Bash, Poweshell.\n, • Experience with designing and implementing resilient, secure networks using a wide range of technologies.\n, • Active, or the ability to obtain, a Developed Vetting (DV) UK security clearance.\n\n Preferred qualifications: \n\n • Experience deploying and operating production workloads in Kubernetes.\n, • Experience designing and implementing configuration management solutions to enable network and cloud platform operations (e.g., Ansible, Terraform, or Puppet).\n, • Understanding of the Kubernetes networking model, along with experience debugging CNI plugin (e.g., Cilium) configurations and Service Mesh (e.g., Istio) architectures.\n, • Excellent partner management, follow-through, resourcefulness, attention to detail, and verbal and written communication skills.\n, • Current and active UK Security Check (SC) or UK Developed Vetting (DV) security clearance.\n\n Responsibilities: \n\n • Engage and improve the whole life cycle of secure cloud platform network systems.\n, • Assist Engineering and Operations teams in building an ecosystem of integration, empowering software automation to scale within private/secure networks.\n, • Maintain, secure, and debug cross-cluster communications in an air-gapped kubernetes infrastructure using Cilium for eBPF-based container networking and Istio for microservice communication.\n, • Scale systems sustainably through mechanisms like automation, and evolve systems by implementing changes that improve network reliability, security and performance.\n, • Work cross-functionally to drive Infrastructure as Code and GitOps pipelines, ensuring network configurations are deployed programmatically. Provide highly technical implementation and operational support in customer environments, including guidance on implementation feasibility of cross-product integrations.\n

hackajob is collaborating with Simply Business to connect them with exceptional professionals for this role. \n Our story - continued commitment to doing the right thing \n \n 2005 seems like a long time ago. Simply Business – a small company with a big idea. To transform the way that other small businesses could get the insurance that they need. To reduce time, hassle and jargon wherever possible while introducing the simplicity, choice and value that small businesses are entitled to. To protect them from harm. To keep their livelihoods safe. And to do all this with the promise of positive service. Delivered by happy people, working flexibly, learning constantly. With a restlessly innovative spirit. Within a business committed to doing the right thing. All of the time. \n \n As we’ve grown, we’ve tried hard to keep true to this. To ourselves, to our 800 strong team and to the 3.5m customers that we’ve served so far. And as we move forward, as we enter a big new market, as we grow responsibly, as we improve our products, as we offer our customers more of what they need, of what they deserve, we’ll hold onto the focus of that small company with the big idea. Protecting and serving businesses across the UK and the US. From barbers to bakers, consultants to cleaners, they are the backbone of the economy. \n \n And we’ll continue to stand by them. Bit by bit helping their dreams grow, just like ours. \n \n Why do we need this role? \n \n As a Staff Data Scientist you will be part of a team that is bringing AI and Data Science into the forefront of SB. We are looking to unify our technical vision and are looking for an experienced, technical but pragmatic Staff Data Scientist to enable our wider team to deliver value, quickly. \n \n In this role, you will: \n \n\n • \n Work closely with cross-functional development teams to build, test and maximise the value of a suite of models ranging use cases from LLM’s to propensity, classification and regression models \n • \n Contribute to End to end development and deployment of ML and AI models \n • \n Prove and deliver real value \n • \n Have the opportunity to work with stakeholders in a high-pace, agile environment which encourages autonomy and growth. \n • \n Try and incredibly broad range of DS/AI techniques in a commercial environment \n\n \n Responsibilities include: \n \n\n • \n Researching, advising, building, deploying and testing models from day one \n • \n Work as a bridge between the data science and MLOps departments to continue bring understanding and best practice deployment techniques into the Data Science team \n • \n Hands on big project ownership \n • \n Everyday modelling and Data Science projects with a large, event based data set \n • \n Opportunity to help to codevelop our AI strategy and continued leverage of GenAI for real value \n\n \n \n What are we looking for: \n \n\n • \n 5+ years of experience as a Data Scientist/ML Engineer, working on classic ML and Data Science problems as well as Generative AI \n • \n Created multiple Data Science Products \n • \n Proven aptitude for working with experimenting tools - MLflow/DBX (A/B tests) \n • \n Proven deployment experience - MUST BE REALTIME \n • \n Extensive experience of Databricks/AWS/GCP for deployment \n • \n Strong Python experience \n\n \n \n The Benefits \n \n There’s all the serious (but important) stuff we call ‘core benefits” and a salary that reflects your experience, our pay policy and the market we’re in from your first day is a global approach. However, some of our “core benefits” differ from the UK to the US to keep us competitive. \n \n These range from life cover, a cash plan and a stakeholder pension in the UK to medical, dental, vision, and prescription drug coverage, short and long term disability, life insurance coverage and participation in 401(k) plan with a 3% employer match in the US. \n \n The Fun stuff! \n \n We are really proud of our culture at SB and that reflects in how our benefits roll. Flexible benefits and working, plenty of training to help you develop your career and loads of clubs to get involved in from trivia nights, guest speakers, and charity drives keep us all well connected. And, the great thing is being remote hasn’t stopped us one bit.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. \n As an Enterprise Architect, you will work with customers in helping transform their businesses through the use of Google Cloud Platform. You will work cross-functionally, providing pre-sales enterprise architecture support, solutions delivery and migration, and engineering expertise for Google’s largest customers. As part of the professional services team, you will work on customer Requests for Proposals (RFPs) and proposal processes, partnering with sales and customer engineering counterparts to deliver technical architecture and services strategy. You will also help in informing the scope of services staffing and timelines. \n In this role, you will advise customers on architecture best practices and architectural blueprints as the foundation for migration to Google Cloud. You will be a part of a team that will propose, develop, and implement new approaches and strive for execution consistency and repeatability for these engagements. In addition, you will represent and deliver best practices across the areas of infrastructure, application, and data modernization, and more. You will collaborate cross-functionally within Google and support our services partner community.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. \n Minimum qualifications: \n\n • Bachelor’s degree or equivalent practical experience.\n, • 7 years of experience troubleshooting technical issues for internal/external partners or customers.\n, • Experience in either system design or reading code (e.g., Java, C++, or Python).\n\n Preferred qualifications: \n\n • Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field.\n, • 10 years of experience managing projects and working with analytics, software coding, or customer-side web technologies.\n, • 10 years of experience with data analysis and SQL/MySQL.\n, • 10 years of experience in a customer-facing role.\n, • 10 years of experience in operations management (i.e., process improvement, operational reviews, optimizing workflows, etc.).\n, • 10 years of experience working with Unix or Linux operating systems/commands.\n\n Responsibilities: \n\n • Build and maintain relationships with executive cross-functional key stakeholders in customer or partner organizations to deliver or manage quality technical solutions and services.\n, • Influence major product decisions based on developer feedback or technical expertise.\n, • Lead the scalability of existing solutions or create repeatable solutions (e.g., best practices recommendations, tutorials, blog articles, sample code) and ensure effective documentation of repeatable solutions.\n, • Strategize surrounding solution code development in collaboration with internal or external developers, users, partners, clients, and stakeholders (as needed).\n, • Collaborate with cross-organizational stakeholders and in their respective process life-cycle to provide technical guidance or identify possible existing or new technical solution offerings to help shape outcomes.\n

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Client360 is one of JPMorgan Chase Commercial & Investment Bank’s strategic pillars, building the future of our business, and unifying the data fabric of all client activity. Combined with external data, Client360 leverages this unique data asset to deliver insight and enterprise rewiring at scale. \n Are you passionate about Agentic AI and operational transformation? As the Agentic AI Operations Lead, you will drive the development and management of agentic AI solutions, enabling intelligent automation across Client360. You will help shape the future of Client360, enhance client engagement, and accelerate business-wide growth and transformation. \n Within Data, Digital and AI, as the C360 Agentic AI Operations Lead you will be responsible for the product development and technology build of the Agentic AI workbench and integrated control environment. On establishing this platform, you will work hand-in-hand with the platform and data operations teams to pivot their day-to-day activities into agent led workflows. \n Job Responsibilities \n\n • Partners with architecture and engineering to establish the future state architecture of the Agentic AI workbench, leveraging market leading agent orchestration, evaluation and connectivity protocols to keep C360 on the cutting edge of agent-led operations.\n, • Manages the delivery, optimization, and integration of agentic AI operations for Client360, ensuring alignment with CIB-wide goals and organizational objectives.\n, • Participates in the planning, execution, and risk management of AI operations programs, including frameworks for AI deployment, monitoring, and operational efficiency.\n, • Supports agentic AI initiatives, from ideation and development to implementation and continuous improvement, adapting to evolving business needs and managing risks.\n, • Coaches and mentors junior team members on best practices in AI operations management, business analysis, stakeholder engagement, and change management, enabling effective delivery of objectives.\n, • Collaborates with engineering, operations, and business teams to maintain and enhance agentic AI platforms, ensuring scalability, reliability, and user-centricity.\n, • Helps define the user experience for Client360 agentic AI operations, focusing on process optimization, data-driven insights, and stakeholder satisfaction.\n, • Supports foundational business processes that enable Client360 through AI-driven solutions.\n, • Assists in establishing and monitoring key performance indicators, ensuring agentic AI operations deliver measurable business value and support long-term strategic goals.\n, • Leverages analytics and AI tools to help derive actionable insights from integrated data and third-party sources, supporting comprehensive client profiles and improved decision-making.\n, • Understands the needs of internal teams and anticipates future requirements, collaborating with stakeholders across Markets, Payments, Global Banking, and the Private Bank to drive consistency and adoption of agentic AI solutions.\n, • Utilizes agentic AI operations to deliver personalized client experiences, streamline operations, and enhance decision-making, while supporting regulatory compliance and risk management.\n\n Required qualifications, capabilities, and skills \n\n • 5+ years of experience or equivalent expertise delivering AI operations, business initiatives, or transformation programs.\n, • Strong knowledge of agentic AI systems, service delivery, business process improvement, strategic planning, and data analytics.\n, • Demonstrated ability to support adoption of key AI operations lifecycle activities including discovery, ideation, development, requirements definition, and value management.\n, • Experience supporting change within organizations and managing stakeholders across multiple functions.\n, • Track record of contributing to large-scale AI integration and analytics projects.\n, • Good understanding of AI integration techniques, data governance, regulatory compliance, and operational risk management.\n, • Customer-centric mindset with the ability to prioritize and deliver what clients and stakeholders need.\n, • Experience in working with cross-functional teams and managing stakeholders to drive AI innovation.\n, • Excellent problem-solving skills and strategic thinking about agentic AI operations and their impact on organizational objectives.\n, • Strong communication and interpersonal skills, with the ability to articulate and present complex AI concepts and insights to both technical and non-technical audiences.\n, • Experience with emerging technologies and best practices in AI operations, business analytics, and CRM.\n\n Preferred qualifications, capabilities, and skills \n\n • Experience working in a highly matrixed, complex organization.\n, • Experience in AI operations management, business process management, CRM systems, or related fields within a financial institution.\n, • Bachelor’s degree in Business, Data Science, Computer Science, or a related field; advanced degree preferred.\n, • Experience in ensuring customers and stakeholders are engaged and positive about the AI solutions delivered.\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Kingfisher to connect them with exceptional professionals for this role. \n We’re Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas to life. Guided by our purpose Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement. \n This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will help shape how millions of customers and colleagues experience our products, services and decision making across our retail brands. \n You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve tools, processes and practices that accelerate the use of artificial intelligence across the organisation. \n Key Accountabilities / Responsibilities: \n\n • Develop machine learning models and support their deployment into production\n, • Write production quality code that is robust, efficient and maintainable\n, • Contribute to the implementation and improvement of pipelines, tooling and automation\n, • Apply good engineering standards and practices in model development\n, • Monitor performance and contribute to ongoing optimisation of models\n, • Work with colleagues to understand requirements and priorities\n, • Share knowledge, contribute ideas and support a collaborative team culture\n\n\n, • Good understanding of computer science fundamentals, including data structures, algorithms and software design\n, • Practical experience with classical machine learning techniques and an awareness of modern approaches such as natural language processing and deep learning\n, • Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter\n, • Experience working with SQL and data pipelines to prepare and transform data for model training\n, • Understanding of model evaluation, monitoring and improving performance in a production environment\n, • Familiarity with tools and practices for deploying models, ideally including Git, CI workflows and containerisation\n, • Comfortable working with statistical concepts to interpret data and assess model performance\n, • Ability to work collaboratively, communicate clearly and deliver work to agreed outcome\n\n How We Work \n We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average within our Engineering team - 40% of your time involving in-person collaboration. \n We value the perspectives new team members bring and encourage you to apply - even if you don’t meet 100% of the requirements. \n What We Offer \n An inclusive environment where your potential is limited only by your imagination. We encourage new ideas, support experimentation, and strive to create a workplace where everyone can be their best self. Find out more about Diversity & Inclusion at Kingfisher here \n We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Scroll down below to find out more about our benefits. \n Diversity & Inclusion \n Our customers come from all walks of life - and so do we. We’re committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation. \n Interested? Great, apply now and help us to Power the Possible. \n #LI-TB1 #LI-HYBRID

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n Your mission \n You’ll explore how to harness the potential of AI to scale your impact as a designer. You’ll quickly test and iterate on your ideas with a high degree of freedom and flexibility, learning as part of your day-to-day work as the technology evolves. \n You’ll shape the core Wise Assistant experience for Support and beyond. You’ll design the system that guides our customers through every part of the Wise product, giving them quick and reliable help exactly when they need it. Together with your technical partners, you’ll architect and design agents, own prompts, and define how context and knowledge are used to resolve real customer problems. \n This role will sit within the Content Design Guild as part of our Design team, as the disciplines share a common skill set and design process. \n How you’ll contribute: \n\n • Together with a team of engineers, product managers, and data scientists, you’ll design the systems that enable Wise to deliver conversational AI experiences that help customers at the exact moment they need support.\n, • You’ll collaborate with partners across engineering, data science, product, and design to set the vision and strategy, and coach teams to deliver it.\n, • You’ll shape agent behaviour, define how components of the system interact, and own prompts, reasoning, and context.\n, • You’ll be influential within your product area, identifying and prioritising system needs and delivering the most impactful projects across multiple teams.\n, • Using your expertise, you’ll raise design maturity and deepen the Support squad’s understanding of context engineering.\n, • As part of the Content Design Guild, you’ll regularly collaborate with Wise’s wider content community. You’ll also have plenty of opportunities to partner with other Model and Content Designers to evolve how we approach working with AI as designers.\n\n This role will give you the opportunity to: \n\n • Own the squad’s automation strategy end to end and steer its direction.\n, • Champion quality for our customers—you’ll define what good looks like within the squad and demonstrate it through everything you ship.\n, • Be part of a positive change in the world. We’re fixing a broken system and putting people and businesses in control of their money.\n\n About you: \n\n • You’re an accomplished and experienced Model Designer, or a systems-focused Content Designer who has already made this transition in your day-to-day work. You bring extensive experience in designing large, complex automation systems that deliver exceptional experiences to customers.\n, • You have an in-depth understanding of AI and strong perspectives on how its underpinning systems should be shaped, both within user-facing products and as part of the design process.\n, • You’ve designed systems that generate content and experiences to guide customers, including prompts, guardrails, knowledge architecture, and agents.\n, • You love learning new things, nerding out on technical details, and applying what you learn to solve complex problems.\n, • You’re comfortable navigating ambiguity and collaborating successfully in this kind of environment. You learn quickly and put what you learn into practice.\n, • You have an eye for quality and know where to focus to improve it.\n, • You’re influential and inspiring, and you work well with others in a culture that values autonomy and empowerment. You champion the role of model design and content design in automation-based projects and enjoy coaching designers who are new to these kinds of products.\n, • You’re highly empathetic, both towards customers and the people you work with.\n\n Heads up: this probably isn’t for you if: \n You haven’t previously worked hands-on with a large-scale automated system. This role requires a high level of technical expertise and the ability to partner as an equal with data scientists and engineers when designing large, complex AI systems. You should already have a strong working knowledge of common prompt-engineering techniques and frameworks, context engineering, and agentic design. \n Your experience is mostly in marketing content, advertising, copywriting, journalism, or social media, and you have no hands-on experience in model design, content design, or UX. \n You’re not comfortable navigating complexity or working in a fast-paced environment. \n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n The team collaborates intimately with the Firmwide Chief Analytics Office, Model Risk Governance & Review, Legal, Compliance & Controls to establish and enforce policies and standards that promote responsible AI/ML and Generative AI model development and usage. They engage business and technology stakeholders across the Commercial & Investment Bank's lines of business to ensure processes, tools, and controls are in place to support and incorporate AI/ML implementation best practices. \n As an Sr Associate on the AI/ML Governance team within the Commercial & Investment Bank (CIB), you will have the opportunity to contribute to multiple strategic, global initiatives. This role allows you to be at the forefront of AI/ML governance, providing you with the chance to champion and support realization of CIB's AI/ML and GenAI priorities. \n Job Responsibilities: \n\n • Support the design and build of CIB AI/ML Governance executive management reporting and dashboards\n, • Rollout CIB AI/ML Governance processes by updating documentation (procedures, charters, operating models, job aids, etc.) and developing & delivering effective communications and trainings\n, • Provide hands-on support to stakeholders at all levels of the organization to ensure their understanding and compliance of requirements\n, • Monitor compliance with governance and control requirements and engage stakeholders to remediate issues\n, • Partner closely with subject matter experts in AI/ML Data Science, Architecture & Engineering and Data to identify areas for process improvement\n, • Enhance and streamline AI/ML governance by helping to define and implement the strategic roadmap for firmwide and CIB governance tooling\n\n Required qualifications, capabilities and skills: \n\n • Strong data analysis and problem-solving skills\n, • Attention to detail and ability to work independently\n, • Strong verbal, written, presentation and communication skills, including use of Excel and PowerPoint\n, • Hands on experience using Tableau and/or Alteryx \n, • Demonstrated ability to interact and work effectively with management and other stakeholders to support the goals of the business\n, • Prior experience in AI/ML and GenAI delivery in financial services industry\n, • Strong interpersonal and relationship building skills\n, • Ability to thrive in a changing work environment\n, • Ability to execute tasks and effectively manage to changes in plan\n\n Preferred qualifications, capabilities, and skills \n\n • Preferred knowledge of banking, markets and trading\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations. \n As a Data Science Manager in the Marketing Media Lab team, you will lead projects, translating business problems into investigative solutions and you will guide your team to implement data science solutions, improve data, develop metrics, and build models for business insights. You will also foster knowledge sharing and develop your team's talent. \n You will play a strategic and technical role in driving all things media, marketing, analytics, and partnering with internal teams to evaluate strategic initiatives. Using first-party and third-party data sources, you will create innovative solutions to demonstrate the effectiveness of Google’s media investment and the industry’s toughest issues, at a global scale. \n Minimum qualifications: \n\n • Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.\n, • 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.\n\n Preferred qualifications: \n\n • 2 years of experience managing an Analytics or Data Science team, including prioritisation, roadmapping, coaching and performance management.\n, • Experiences with experimental design and supervised/unsupervised ML approaches for regression and classification tasks.\n, • Experience of root cause analysis to ensure that problems are solved at both a tactical and strategic level.\n, • Experience delivering marketing analytics e.g., Marketing Mix Modeling , geo experiments, meta-analysis, audience segmentation and propensity modeling .\n, • Understanding of Bayesian approaches and modeling frameworks.\n, • Proven ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross functional stakeholders.\n\n Responsibilities: \n\n • Provide support in media strategy, measurement and optimization that require expertise in advanced analytics work, with special focus on marketing analytics methods and data science.\n, • Partner with internal teams in advanced analytics work including experimentation, measurement and modeling. Identify patterns and behaviors that are effective predictors of performance and critical drivers for a successful media plan.\n, • Deliver customer-centric, data-driven approach, based on a people-based marketing strategy to build, segment, and test audiences for best business results.\n, • Partner with internal teams to scope, build and deliver strategic initiatives driving all things marketing data, with a strong focus on digital marketing data pipelines. \n, • Lead and develop the team, taking ownership of team roadmapping, initiative prioritization, individual coaching, and ongoing performance management.\n

hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role. \n dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. \n dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. \n Client Partner – Insights & Consulting \n Location: London / Hybrid Contract: Permanent \n About the role \n We’re looking for a Client Partner to manage and grow relationships across a portfolio of clients, delivering insight‑led solutions that help them make better commercial decisions. \n This role is well suited to someone with a solid background in consultative sales, account management or insight delivery, who enjoys working closely with clients and internal teams to shape solutions and drive value. You’ll sit at the intersection of client delivery, commercial growth and data‑driven insight, supporting both existing partnerships and new commercial opportunities. \n This is not a transactional sales role. It combines hands‑on client management, insight storytelling and consultative selling, with the opportunity to grow in scope and complexity over time. \n What you’ll be doing \n\n • Managing and developing a portfolio of client relationships, acting as a day‑to‑day commercial and insight partner \n, • Delivering insight‑led projects and solutions in collaboration with consulting, analytics and delivery teams \n, • Supporting the full sales cycle across your client base, including opportunity identification, proposal development, pitching and renewal conversations \n, • Identifying opportunities to grow client engagement through upsell and cross sell of relevant solutions \n, • Turning data into clear, actionable insight and recommendations that support client decision making \n, • Leading regular client conversations and presentations, adapting your approach to different stakeholders \n, • Maintaining an accurate pipeline and forecast, keeping systems and stakeholders up to date \n, • Building strong internal relationships to ensure effective delivery and consistent client experience \n\n What we’re looking for \n\n • Experience in a commercial, account management, consulting or insight‑led role \n, • Exposure to selling or delivering data‑driven, analytical or insight‑based solutions \n, • Comfortable managing client relationships and contributing to commercial conversations \n, • Ability to communicate insight clearly and translate data into practical actions \n, • Experience working with retailers, FMCG, media, consultancy or insight‑driven environments \n\n You don’t need to come from a traditional sales background. What matters is your ability to build relationships, understand client needs and use insight to create value. \n Why join dunnhumby \n\n • Work with market‑leading data, brands and retailers \n, • Gain exposure to complex client challenges and real commercial impact \n, • Develop consultative, commercial and insight skills in a supportive environment \n, • Join a collaborative culture that values curiosity, learning and delivery excellence \n\n What you can expect from us \n We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. \n You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. \n And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. \n Our approach to Flexible Working \n At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. \n We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. \n For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)