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Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field.

Software engineers, data analysts, and data scientists collaborate on a daily basis to continuously improve our systems and provide support to our fraud investigation team. We are seeking a highly motivated Lead Data Scientist to join our Fraud Risk Team.

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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionise mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the UK – but how we do things here is a little different. We're building the bank of the future from scratch, channelling our start-up mentality every step of the way – meaning you'll have the opportunity to make a real impact. \n As a Data Scientist at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. \n Our Business Analytics 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 new technology. 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 While we’re looking for professional skills, culture is just as important to us. We understand that everyone's unique – and that diversity of thought, experience and background is what makes a good team great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference – on us as a company, and on our clients and business partners around the world \n Job responsibilities: \n\n • \n Collaborating with business partners, research teams and domain experts to understand business problems. \n • \n Providing stakeholders with timely and accurate reporting. \n • \n Performing ad hoc analysis based on diverse data sources to give decision-makers actionable insights about the performance of the products, customer behavior and market trends. \n • \n Presenting your findings in a clear, logical, and persuasive manner, illustrating them with effective visualizations. \n • \n Collaborating with data engineers, machine learning engineers and dashboard developers to automate and optimize business processes. \n • \n Identifying unexplored opportunities to change how we do business using data. \n\n Required qualifications, capabilities and skills: \n\n • Advanced SQL querying skills.\n, • Competent data analysis in Python.\n, • Experience in taking open ended business questions, then use big data and statistics to create analysis that can provide an answer to the questions at hand.\n, • Experience with customer analytics such as user behavioral analysis, campaign analysis, etc. \n, • Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data.\n, • \n Ability to work in a dynamic, agile environment within a geographically distributed team. \n • Excellent written and verbal communication skills in English.\n\n Preferred qualifications, capabilities and skills \n\n • Distinctive problem-solving skills and impeccable business judgment.\n, • Familiarity with machine learning.\n\n #ICB #ICBEngineering \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 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 • \n Contribute to End to end development and deployment of ML and AI models \n\n • \n Prove and deliver real value \n\n • \n Have the opportunity to work with stakeholders in a high-pace, agile environment which encourages autonomy and growth. \n\n • \n Try and incredibly broad range of DS/AI techniques in a commercial environment \n\n\n \n Responsibilities include: \n \n\n • \n Researching, advising, building, deploying and testing models from day one \n\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 • \n Hands on big project ownership \n\n • \n Everyday modelling and Data Science projects with a large, event based data set \n\n • \n Opportunity to help to codevelop our AI strategy and continued leverage of GenAI for real value \n\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 • \n Created multiple Data Science Products \n\n • \n Proven aptitude for working with experimenting tools - MLflow/DBX (A/B tests) \n\n • \n Proven deployment experience - MUST BE REALTIME \n\n • \n Extensive experience of Databricks/AWS/GCP for deployment \n\n • \n Strong Python experience \n\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 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 Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world’s first platform to offer true multi-currency banking. Your mission is to help make people aware of Wise as a solution for cross-border money needs. \n Here’s how you’ll be contributing to Marketing \n\n • \n You will help the Marketing tribe find the biggest opportunities for growth \n • \n You will help us understand in what growth activity to invest (Marketing Mix Models) and how to reduce the uncertainty on marketing measurement \n • \n You will do this by developing predictive models to calculate Customer Lifetime Value (LTV), aiding in the prioritization of marketing efforts and resource allocation. \n • \n You will model customer behaviour data and product usage so we understand which audiences to target and how \n • \n You will work closely with Data Analysts and you will help them understand and use models that you build (LTV or MMM models) \n • \n Your average day will include building new models, maintaining models used by everyone in the marketing tribe, evaluating new ideas and communicating what models can tell us about how and why we grow \n\n This role will give you the opportunity to: \n\n • \n Have a direct impact - You will closely partner with every marketing team within both Organic and Paid Acquisition and help millions of people and businesses to learn about how Wise can help them \n • \n Work autonomously - we believe people are most empowered when they can act autonomously. So rather than telling you what to do, you’ll work with your team to create a vision of your own. Of course, you can always gather feedback from smart, curious people across Wise but you’ll have the freedom to make your own calls. \n • \n Be part of a diverse team - You will work in a team of Data scientists, Analysts and Marketeers \n • \n Be part of our mission to make money without borders the new normal \n\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 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 Analyst, you will be part of a team, championing the use of data within our organization, and ensuring that insight is driven with a clear strategy aligned to our business outcomes and growing operations. You will also be joining a much broader, award winning international data team that is doing some really exciting things with the latest Big Data and analytics technologies. \n \n In this role, you will: \n \n\n • \n Work closely with cross-functional development teams to test hypotheses and deliver innovative products. \n\n • \n Enable self-service for business stakeholders through best-in-class tooling. \n\n • \n Have an eagerness to improve analytical techniques through a variety of sources, including leveraging our data science and data engineering teams. \n\n • \n Have the opportunity to work with stakeholders in a high-pace, agile environment which encourages autonomy and growth. \n\n • \n Contribute to and drive forward changes to team strategy. \n\n\n \n Responsibilities include: \n \n\n • \n Delivery of high quality analysis and recommendations to support the Product Teams and help them achieve their objectives \n\n • \n Carry out customer journey analysis \n\n • \n Measure the impact of multi-channel strategies \n\n • \n Uncover and deliver insight through ad-hoc data exploration and visualization \n\n • \n Work with our data engineers to evolve our data sets and data pipelines \n\n • \n Build dashboards and self-service query tools and train colleagues to use them \n\n • \n Promote the output and capabilities of the analysis team across the business to help foster a company-wide data driven culture \n\n • \n Mentor more junior members of the team, and work with managers to drive development on both an individual and team level. \n\n\n \n What are we looking for: \n \n\n • \n 6+ years of experience as an Analyst/Data Scientist \n\n • \n Expert SQL Knowledge \n\n • \n Proven aptitude for problem solving and experimenting (A/B tests) \n\n • \n Collaborating across cross-functional teams \n\n • \n Proven aptitude for analysis of data and problem solving \n\n • \n A degree in STEM, Economics, or similar \n\n • \n The ability to challenge us! We want people who can come in and shape the future of this business, not afraid to raise questions and help us improve \n\n • \n Insurance knowledge is a plus! \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 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 Third Bridge Group to connect them with exceptional professionals for this role. \n Third Bridge is a leading global research firm established in 2007, with a team of over 1,500 employees worldwide dedicated to fueling decisions with expert insights. We accelerate and enhance decision-making for investors and business leaders by unearthing unique expert insights across multiple sectors, geographies, and topics. \n For nearly 20 years, we’ve helped clients access knowledge on demand from experts, in-person and through our Library covering over 65,000 companies. \n We stand at the cutting edge of technology and investment research, driving innovation to deliver solutions that set new industry standards. We are building a Data Science capability within our Data Architecture function, and are seeking a Data Scientist who combines technical rigour with a prototyping mindset — someone dedicated to proving what’s possible with our data and handing those proofs to engineering. \n About the Role: \n As a Data Scientist at Third Bridge, you will be the engineering-focused prototyping engine within a high-impact data team. Working alongside our senior analytics capability and reporting to the Principal Data Architect, your primary mandate is to design, build, and validate proof-of-concept (PoC) solutions — from new dataset pipelines and ML models to AI-powered internal tools — and hand off successful proofs to the engineering team for production integration. \n You will work with Third Bridge’s rich proprietary data assets: transcripts, events, interaction data, commercial performance metrics, and content derived from tens of thousands of expert interviews. The role gives you the mandate to find new ways to extract value from that data, with the freedom to experiment and the expectation to ship. \n Key Responsibilities: \n\n • Design and build PoC solutions with a clear ‘ship-or-kill’ decision framework, defining evaluation criteria upfront so success is measurable, not just qualitative.\n, • Build extraction, transformation, and loading (ETL/ELT) pipelines to create net-new datasets for analytical or ML use, including feature engineering pipelines for model training and downstream reporting.\n, • Apply supervised and unsupervised ML techniques to commercially relevant problems: usage propensity, client segmentation, churn modelling, content recommendation, and anomaly detection.\n, • Develop lightweight Python-based tools and notebook applications that allow business stakeholders to interact with model outputs or curated data extracts.\n, • Prototype AI-assisted internal tools — including applications leveraging LLM APIs, embedding-based search, and retrieval-augmented generation (RAG) — to demonstrate near-term business value from Third Bridge’s content assets.\n, • Collaborate closely with the analytics peers to align on data definitions, shared datasets, and metric standards that underpin both experimental and production work.\n, • Work with the engineering team to define production requirements for successful PoCs, producing clean, well-documented code and architecture notes to support seamless handoff.\n, • Advocate upstream for data quality and instrumentation requirements with Product and Engineering, contributing to the team’s engineering standards and practices.\n\n Essential Qualifications: \n\n • Masters degree (or equivalent) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a quantitative field such as Economics.\n, • Professional experience in a data science, ML engineering, or applied data role.\n, • Strong Python programming skills, including hands-on experience with pandas, scikit-learn, and at least one ML or deep learning framework.\n, • Working knowledge of Bedrock and other AWS managed services.\n, • Demonstrable experience building and deploying at least one end-to-end ML model or data pipeline in a professional setting, with clear evaluation criteria and documented outcomes.\n, • A track record of building PoC or prototype solutions and iterating toward production-readiness, with the discipline to define ‘ship-or-kill’ criteria upfront.\n, • Strong version control practices (Git) and familiarity with software engineering workflows including code review and CI/CD awareness.\n, • The ability to communicate technical findings and trade-offs clearly to both technical peers and non-technical stakeholders.\n\n Qualifications \n Desired Attributes: \n\n • Exceptional problem-solving instincts and a bias toward shipping: able to make a PoC useful and demonstrable quickly, without over-engineering early-stage solutions.\n, • Familiarity with AWS Bedrock or other managed AI/LLM platforms (e.g. OpenAI API, Anthropic API) for building and integrating AI-powered features is a strong plus, though AI capability should complement, not replace, a solid foundation in traditional ML.\n, • Experience with NLP, text classification, embedding models, or semantic search, particularly applied to content-rich or document-heavy datasets.\n, • Familiarity with building lightweight web applications or data tools such as Streamlit, FastAPI, or Flask, enabling business stakeholders to interact directly with model outputs.\n, • Experience with orchestration or transformation tooling such as dbt, Airflow, or Prefect, demonstrating an ability to build reproducible and maintainable pipelines.\n, • A tech-agnostic mindset, open to selecting the right tool for each problem — whether that is a classical statistical model, a gradient boosting approach, or an LLM-backed workflow.\n, • Exposure to product analytics, B2B SaaS, publishing, or content-rich datasets is a plus.\n, • Natural curiosity and a proactive approach to staying current with developments in both traditional ML and generative AI — and bringing relevant ideas back to the team.\n, • Excellent collaboration skills, with the instinct to treat the analytics peer and engineering team as partners rather than handoff recipients.\n\n How will you be rewarded? \n\n • \n We truly care about our people so in return for your work, you’ll get: \n • \n Vacation: 25 days (which increases to 28 days after 2 years of service) plus UK Bank Holidays \n • \n Learning: personal development allowance of £1000 per year \n • \n Health and wellbeing: private medical insurance and healthcare cash plan, a variety of health and wellbeing events to focus on mental health, Ride to Work scheme (savings on bikes and accessories) \n • \n Future and family: pension contributions of 4% (increases with tenure) and life insurance of 4x of your base salary \n • \n Flexibility: work from anywhere for one month per year, 2 annual volunteer days, 2 personal days when life throws you a curveball and 'Summer Fridays' \n • \n Rewards: get points through our colleague-to-colleague recognition programme to spend on hotels, gift cards, donations to charity and more \n • \n Social: optional social gatherings, daily breakfast and snacks, social events \n • \n ESG: CSR, Environment and Diversity & Inclusion (including Women at Third Bridge, Pride and Blkbridge) \n • \n Frontline Innovation: your chance to share your ideas for improvement through Hackathons and other events \n\n Third Bridge values your trust and is committed to the responsible management, use, and protection of personal information. By submitting a Third Bridge job application, I hereby provide Third Bridge (including Third Bridge's affiliates and relevant third-party suppliers) with my consent to collect, store and process my personal information for the purpose of recruitment administration, as well as to share such personal information with third parties for the same purpose, in accordance with the Candidate Privacy Notice. \n We know that to be truly innovative, we need to have a diverse team around us. That is why Third Bridge is committed to creating an inclusive environment and is proud to be an equal opportunity employer. If you are not 100% sure if you are right for the role, please apply anyway, and we will be happy to consider your application.

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 Senior Data Scientist - Hybrid Working - London/Home \n Why join us \n In Customer Data Science (part of the Data Science Hub), we build the systems behind personalised customer decisioning – from customer segmentations to offer optimisation. We impact millions of customers, bringing them value and earning their loyalty. \n This team already personalises all of the offers you see in the Nectar app, but now we’re growing in ambition and scale. We aim to personalise everything that matters – offers, online recommendations, digital experiences, communications. And we aim to achieve this using our incredible data asset, our rich customer understanding, and state of the art machine learning and AI. \n This role will work in a team dedicated to personalising customer experiences within the Nectar loyalty programme and optimising large-scale offer decisioning systems across a range of touchpoints. As one of the senior individual contributors in the team, you’ll apply your wealth of experience and ideas to design, build, and improve our capabilities – driving value for the customer and the business. \n What you’ll do \n Solve the hard problems \n\n • \n Lead on the technical development of algorithms and pipelines that will deliver against our strategic objectives. \n • \n Iterate our modelling and optimisation capabilities, identifying the most appropriate techniques to enable continuous learning, expansion to novel mechanics, audiences and channels and the transition towards real-time decisioning. \n • \n Own sub-projects where appropriate, leading junior colleagues and engaging with stakeholders. \n\n Embody and improve best practice \n\n • \n Align to best practice across modelling, experimentation, deployment, and model lifecycle management. \n • \n Coach through doing – pairing on code and demonstrating standards. \n\n Be an enthusiastic member of our community \n\n • \n Become the recognised data science technical expert in your team, bringing new ideas for future approaches, including state of the art techniques where appropriate. \n • \n Understand how our business really works, including by supporting our stores during peak trading periods. \n • \n Actively contribute to our vibrant Data and Analytics community of over 800 colleagues, providing a view on new techniques and approaches that can drive positive change in wider teams. \n\n Who you are \n We’re looking for a highly motivated self-starter – someone who fixes problems and creates value without micromanagement. You need to thrive in a challenging role, and know how to balance our need for technical rigour against our need to deliver commercial and customer value. \n Value delivery \n\n • \n Deep experience in Data Science roles, with evidence of solving complex problems end-to-end. \n • \n A record of building systems which run in production, and an understanding of the value these generated. \n • \n An ability to understand commercial reality as well as technical rigour. \n • \n Experience working in an Agile way, and ability to understand the trade-off between immediate value, future value, and technical rigour. \n • \n A strong ability to communicate ideas to audiences of varying technical background and seniority. \n\n Data Science expertise \n\n • \n Strong grounding in statistical modelling and machine learning, such as Predictive modelling at scale, unsupervised learning, causal inference and experimentation and optimisation and decisioning \n • \n Strong understanding of the “how” behind the algorithm; ability to select the right technique for a given objective and avoid pitfalls. \n\n Production-grade design \n\n • \n Extensive programming ability across Python and strong ability to use SQL, with a proven experience of developing complex solutions in a corporate environment. \n • \n Solid understanding of working with production codebases, such as version control, CI/CD, and batch processing. \n • \n Practical experience working on cloud-based ML platforms. \n\n Development and coaching \n\n • \n A strong awareness and understanding of technology trends and direction in Data Science, analytics and AI. \n • \n Ability to support in the development, training and mentoring of others. \n\n Essential Criteria \n\n • \n Extensive experience in previous Data Science roles \n • \n A record of building systems which run in production \n • \n A strong ability to communicate ideas to audiences of varying technical background and seniority \n • \n Strong grounding in statistical modelling and machine learning, including predictive modelling and linear optimisation. \n • \n Extensive programming ability across Python and strong ability to use SQL \n • \n Solid understanding of working with production codebases, such as version control and CI/CD \n\n #DataAndAnalytics \n #DataScience \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 20% 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, and we provide private healthcare. We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to £10k, 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 Virgin Media to connect them with exceptional professionals for this role. \n Lead Data Scientist – Network Investment Planning & Optimisation \n Location: London (Hybrid) Reports To: Head of Data Science \n About Virgin Media O2 \n Virgin Media O2 (VMO2) is one of the UK’s largest telecommunications providers, connecting over 46 million customers across mobile, broadband, and TV. We are delivering one of the largest investments in UK digital infrastructure in a generation, allocating hundreds of millions of pounds annually to build the networks of the future—including ultrafast fibre and next-generation 5G. \n To power this massive capital investment, we are leveraging cutting-edge AI, machine learning, and mathematical optimisation to ensure every pound is invested where it can deliver the maximum benefit. \n About the Role \n We are looking for a Lead Data Scientist to join our Network Investment team. In this role, you will be the technical lead driving the design, development, and deployment of optimisation and predictive planning tools that shape our capital investment strategy. \n You will lead a high-performing team of data scientists to build intelligent, automated models that simulate rollout scenarios, and forecast and optimise their impact on key business measures. This is a unique opportunity to act as both a hands-on technical expert and a mentor to a talented team, working on high-impact problems that directly shape the physical connectivity of the UK. \n Key Responsibilities \n · Lead & Mentor: Act as the technical lead for a team of data scientists. Provide mentorship, steer project architectures, and champion high standards for clean, reproducible, and production-grade code. \n · Modelling, Forecasting and Optimisation: Design and implement models to simulate our networks and forecast how our customers use them and the service quality they will receive. Leverage these to solve crucial business planning problems. \n · End-to-End Delivery: Own the lifecycle of data science projects from discovery to deployment. Work as part of a cross functional team leveraging Python, dbt, and GCP (Vertex AI, BigQuery) to build robust pipelines. \n · Stakeholder Collaboration: Partner closely with Network stakeholder to translate complex commercial constraints into data science problems and the solutions to those problems into tangible impact. \n · Storytelling & Impact: Distil highly technical modelling outcomes into clear, visual, and actionable insights for senior leaders and executives making multi-million-pound investment decisions. \n \n What We Are Looking For (Requirements) \n The Must-Haves: \n · Educational Background: Master’s degree or PhD in a highly quantitative field or equivalent commercial experience. \n · Technical Leadership: Experience leading or mentoring data scientists, setting technical direction, and managing the end-to-end delivery of analytical products. \n · Proven Problem-Solving Record: Proven track record of using mathematical, ML and software techniques to solve industrial problems and deliver business impact. \n · Modern Tech Stack: Advanced proficiency in Python (pandas, NumPy, scikit-learn) and SQL. \n · Communication: Exceptional ability to explain complex technical concepts, algorithmic trade-offs, and probabilistic outputs to non-technical business partners. \n \n Nice-to-Haves: \n · Mathematical Optimisation: Background in Operations Research, with hands-on experience using optimisation solvers (e.g., Gurobi, Google OR-Tools) to solve real world problems. \n · Domain Knowledge: Prior experience in the Telecommunications, Utilities, Logistics, or Infrastructure sectors. \n · Cloud & MLOps: Experience developing and deploying production-grade models in cloud environments.

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 seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects. \n Your work will have a direct impact on Wise’s mission and millions of our customers. \n About the Role: \n You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform. \n The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform: \n We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain. \n What you’ll own \n\n • \n Python microservices that run quantitative models in production \n • \n Monitoring, alerting, and reliability for real-time pricing and risk systems \n • \n Shared quant libraries used across multiple services \n • \n CI/CD pipelines, deployment and operational excellence \n • \n Incident response and root cause analysis for production issues \n\n Where you’ll grow \n\n • \n Real-time curve construction (yield curves, FX forwards, vol surfaces) \n • \n Pricing models for new instruments and products \n • \n Trading strategy development and optimisation \n • \n Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis) \n • \n Backtesting frameworks and model validation \n • \n Customer behaviour modelling, pricing strategy and product launch support \n • \n Collaborating with product teams to translate quantitative insights into customer-facing decisions \n\n Qualifications \n What we’re looking for \n\n • \n 4+ years building and maintaining production Python systems \n • \n Strong experience with microservices, databases, and production infrastructure \n • \n Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.) \n • \n Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness \n • \n Experience with testing, monitoring, and debugging complex systems under load \n • \n A product mindset - you think about who uses your systems and why \n • \n Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers \n\n It’s a bonus if you are familiar with \n\n • \n FX or financial markets experience \n • \n Term structure modelling, stochastic calculus or Monte Carlo methods \n • \n Interest rate curve bootstrapping \n • \n Algorithmic execution experience \n • \n Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.) \n\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 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 Join us to shape the future of data, analytics, and AI at JPMorganChase. As part of our Applied AI ML team, you will have the opportunity to work in dynamic squads focused on impactful products and projects. You'll collaborate with diverse teams, accelerate your career, and help deliver solutions that enhance our data management and governance capabilities. We value your technical expertise, solution-oriented mindset, and passion for innovation. Your contributions will directly influence how we maximize the value of data globally. \n As a Vice President, Applied AI ML Lead in the Firmwide Chief Data Office's Applied AI ML team, you will design and deliver AI solutions that advance our data governance and management capabilities. You will work closely with business lines, corporate functions, and engineering teams to identify opportunities and create impactful solutions. Your role will empower you to move between tribes and squads, leveraging your strengths and interests. You will help foster a collaborative, innovative culture focused on driving transformation through AI and machine learning. \n Job Responsibilities: \n\n • Design and develop AI/ML solutions for data management challenges\n, • Build prototypes to demonstrate value to stakeholders\n, • Collaborate with business lines and corporate functions to identify needs\n, • Partner with engineering and data science teams for solution delivery and integration\n, • Maintain comprehensive documentation of models, experiments, and processes\n, • Deliver written, visual, and oral presentations of modeling results to stakeholders\n, • Stay current with research in LLM, ML, and data science\n, • Identify and leverage emerging techniques to enhance solutions\n\n Required Qualifications, Capabilities, and Skills: \n\n • Formal training or certification in data and AI/ML concepts with expert applied experience\n, • Proven commercial experience developing in Python and manipulating large volumes of complex data using SQL\n, • Extensive experience as a data scientist, AI/ML engineer, or AI/ML researcher\n, • Demonstrated ability to solve complex problems with multiple constraints\n, • Ability to articulate business needs to technical leadership and technical issues to business leadership\n, • Proven ability to engage constructively and collaboratively with engineers, designers, and company leaders\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience using AI agents and copilots to enhance business processes or user experiences\n, • Experience with data management\n\n The Firmwide Chief Data Office is dedicated to maximizing the value and impact of data globally, with a strong focus on governance. Our teams accelerate JPMorganChase's data, analytics, and AI journey through strategy, impact optimization, privacy, governance, transformation, and talent development. \n Why Join Us? \n You will be part of a collaborative environment where your ideas and expertise drive real change. We offer opportunities to grow, move between teams, and work on projects that matter. Your work will help shape the future of data and AI at JPMorganChase. \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 We’re looking for a Lead Data Scientist to join our growing Trust & Safety Team in London. \n This role is a unique opportunity to work behind the scenes of company transactions, understand how we mitigate risk and at the same time provide our customers with the seamless service they deserve. What you build will have a direct impact on Wise’s mission and millions of our customers. \n As a Lead Data Scientist in the Trust & Safety team, you will leverage your expertise in data science to innovate and deploy models that detect and prevent fraudulent activities. Your work will directly influence our ability to safeguard our platform against unauthorized access and enhance our overall security framework. You will collaborate closely with cross-functional teams, including engineering, product, and security operations. \n Key Responsibilities: \n\n • Lead the development and deployment of advanced machine learning models to detect, predict, and mitigate account takeover attempts.\n, • Analyze large volumes of data to identify trends, patterns, and anomalies associated with potential ATO and Send Scam threats.\n, • Design and implement experiments to evaluate the effectiveness of fraud detection systems and continuously improve their performance.\n, • Collaborate with security analysts and engineers to translate business and security requirements into actionable data insights and solutions.\n, • Develop robust data pipelines, algorithms, and tools to support real-time detection and response to ATO and Send Scam threats.\n, • Stay informed about the latest advancements in data science, machine learning, and fraud prevention techniques to ensure state-of-the-art capabilities in ATO and Send Scam.\n, • Mentor and guide junior data scientists, fostering a culture of collaboration and continuous learning within the team.\n\n Qualifications \n A bit about you: \n\n • \n Proven experience in a data science role with a focus on fraud detection, cybersecurity, or fin tech related domains \n • \n Have build machine learning models for Send Scam (Victim Identification) and Account Takeover (ATO) \n • \n Strong proficiency in machine learning frameworks and programming languages such as Python, R, or similar. \n • \n Experience working with large datasets and data processing technologies (e.g., Hadoop, Spark, SQL). \n • \n Familiarity with anomaly detection, supervised, unsupervised learning methods, deep learning, and graph based solutions \n • \n Demonstrated ability to work collaboratively in cross-functional teams and effectively communicate complex technical concepts to non-technical stakeholders. \n • \n A proactive, problem-solving mindset with a passion for protecting users from fraudulent activities. \n • \n You have a solid knowledge of Python, and are able to make and justify design decisions in your code. You know how to use Git to collaborate with others (e.g. opening Pull Requests on GitHub) and are able to review code. Ability to read through code, especially Java. Demonstrable experience collaborating with engineering on services; \n • \n You have experience with mining into event logs to identify patterns and associations \n • \n You are familiar with a range of model types, and know when and why to use gradient boosting, neural networks, regression, autoencoders, clustering or a blend of these \n • \n Experience with statistical analysis and good presentation skills to drive insight into action; \n • \n A strong product mindset with the ability to work independently in a cross-functional and cross-team environment; \n • \n Good communication skills and ability to get the point across to non-technical individuals; \n • \n Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them. \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.

hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. \n Join Kainos and Shape the Future \n At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. \n We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration. \n Ready to make your mark? Join us and be part of something bigger. \n Kainos is recognised as one of the UK’s leading AI and data businesses, with a decade-long track record of delivering impactful, production-grade AI solutions for clients across government, healthcare, defence, and commercial sectors. Kainos is at the forefront of AI innovation, trusted by Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. \n Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government’s AI Cyber Security Code of Practice implementation guide and we partner with leading organisations to ensure AI is deployed ethically, securely and with measurable business value. Our teams are at the cutting edge of AI research, and delivery, it is truly an exciting team to join Kainos as we further grow our AI capability. \n MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS: \n As a Principal Data Scientist at Kainos, you will be accountable for the successful delivery of large-scale, high-impact AI solutions that leverage state-of-the-art machine learning, generative, and agentic AI technologies. You will help set the direction for AI and data science across the business, driving the adoption of modern AI development practices and scalable, cloud-native architectures at enterprise scale. You will provide technical and thought leadership, engaging with C-level and senior stakeholders to define architectural principles and strategic direction. As a senior technical leader in AI, you will foster a culture of innovation, continuous learning and engineering excellence—both within Kainos and across the wider industry. \n You will lead, mentor, and develop a community of data scientists, AI engineers, and technical managers, ensuring the adoption of robust standards and responsible AI practices. You will build enduring customer relationships, proactively develop new alliances with technology partners and shape Kainos’ commercial AI offerings. Your leadership will be instrumental in embedding commercial acumen, influencing account strategies and ensuring customers get measurable business value from AI investments. \n MINIMUM (ESSENTIAL) REQUIREMENTS: \n\n • \n Proven track record of accountability for the delivery of complex, production-grade AI/ML solutions at scale. \n\n\n • \n Demonstrable experience of technical leadership in AI delivery. \n\n\n • \n Deep expertise in developing and assuring advanced AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning, LLMs and agentic AI. \n\n\n • \n Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and orchestration of agentic AI systems. \n\n\n • \n Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data, and integrating non-traditional data sources. \n\n\n • \n Deep understanding of responsible AI principles, model interpretability and ethical considerations, with a track record of influencing policy and standards. \n\n\n • \n Ability to communicate and negotiate with C-level and senior stakeholders, translating complex technical concepts into business value. \n\n\n • \n Experience in developing and executing account strategies, shaping commercial AI offerings and driving business development in partnership with sales and account managers. \n\n\n • \n Demonstrated ability to build and lead high-performing teams and wider AI and data science communities. \n\n\n • \n Strong commercial acumen with a history of influencing the commercial success of AI products and solutions. \n\n DESIRABLE: \n\n • \n Experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), and advanced ML libraries (e.g. scikit-learn, XGBoost). \n\n\n • \n Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. \n\n\n • \n Active contribution to open-source AI projects, research publications, and industry events/websites. \n\n\n • \n Familiarity with AI security, privacy, and compliance standards (e.g. ISO 42001). \n\n Embracing our differences \n At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. \n Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. \n We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence \n The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, large language models, and recommendation systems. \n The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. \n \n Job Responsibilities \n\n • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community\n, • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, LLMs or recommendation systems\n, • Produce outputs that lead to high-impact business applications, open-source software, patents, and publications in top AI/ML conferences and journals.\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\n \n Required qualifications, capabilities, and skills \n\n • Solid background in NLP and LLMs, and solid understanding of machine learning and deep learning methods\n, • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field\n, • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)\n, • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals\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 \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 search/ranking, Reinforcement Learning or Meta Learning\n, • Expertise in recommendation systems\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\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 \n For more information about the MLCOE, please visit http://www.jpmorgan.com/mlcoe. To learn about how we're using AI/ML to drive transformational change, please read this blog: https://www.jpmorgan.com/insights/technology/technology-blog?source=cib_... \n \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 \n \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 \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 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 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 Joining the AI Strategy, Research & Enablement team, you’ll help shape the future of AI across the organisation. Working at the intersection of cutting-edge research and real-world commercial application, you’ll turn innovative ideas into scalable capabilities that influence products, platforms, and long-term strategy. You’ll collaborate with senior leaders and contribute to decision-making across data science, engineering, and product, helping to prioritise and advance the right AI investments for the future. \n We’re looking for a Senior Research Data Scientist to play a key role in developing dunnhumby’s next-generation models across a range of strategic AI initiatives. As part of this newly formed team, you’ll focus on advanced modelling, long-term capability building, and cross-industry collaboration. You’ll design new approaches, build and test prototypes, support engineering teams with productionisation, and contribute to partnerships with academia and external research organisations. \n What you’ll be doing: \n\n • Drive the design, experimentation, and evaluation of transformer-based models on retail based challenges.\n, • Explore innovative architectures (e.g., sequence-to-sequence models, causal transformers, hybrid retrieval + transformer approaches) to deliver step-change improvements in personalisation, recommendations, and forecasting.\n, • Develop research-grade prototypes and collaborate with engineers to translate them into scalable, production-ready solutions.\n, • Conduct forward-looking research on generative AI, multimodal learning, and representation learning.\n, • Identify emerging AI/ML techniques with high potential for retail and consumer analytics, shaping conceptual prototypes and feasibility assessments.\n, • Drive internal thought leadership by defining standards, sharing knowledge, and advising product, engineering, and data science teams on ML adoption and best practices.\n, • Work with leading academic groups and private-sector research partners to co-develop new modelling approaches, run joint experiments, or explore cutting-edge AI applications.\n, • Mentor other data scientists and contribute to growing organisational capability in deep learning and advanced ML.\n, • Partner closely with internal teams to ensure research pathways are aligned with available tooling and future platform strategy.\n, • Document best practices and contribute to reusable assets, libraries, and internal frameworks.\n\n What we expect from you: \n\n • Expertise in transformer architectures (e.g., BERT, GPT, T5, Time‑Series Transformers).\n, • Strong hands-on experience with modern deep learning frameworks (PyTorch preferred).\n, • Solid grounding in machine learning fundamentals and statistical modelling.\n, • Familiarity with distributed training and GPU acceleration.\n, • A track record of delivering impactful models in production or research settings.\n, • Ability to take ambiguous research ideas and shape them into structured investigations or prototypes.\n, • Curiosity and a learning mindset — tracking state-of-the-art advancements and evaluating their relevance.\n, • Strong data manipulation and engineering skills (e.g., PySpark, SQL, cloud-based data tooling).\n, • Strong communication skills, capable of explaining complex ideas to technical and non-technical audiences.\n, • Collaborative approach to working with ML engineers, product managers, academic partners, and leadership stakeholders.\n, • A passion for turning cutting‑edge modelling ideas into practical business impact.\n, • A mindset that blends scientific curiosity with real-world pragmatism.\n, • Enthusiasm for shaping the next generation of AI capabilities at dunnhumby, both through hands-on modelling and strategic influence.\n\n Nice to have \n\n • Experience in retail, CPG, recommendations, or customer behaviour modelling.\n, • Engagement with academic research (publications, workshops, industry collaborations).\n, • Familiarity with vector databases, embeddings, and retrieval techniques.\n, • Experience Working on large datasets (efficient loading, batching, and streaming) and related tooling (PySpark preferred).\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 We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionise mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the UK – but how we do things here is a little different. We're building the bank of the future from scratch, channelling our start-up mentality every step of the way – meaning you'll have the opportunity to make a real impact. \n As a Lead Machine Learning Scientist at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. \n Our Machine Learning 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 new technology. 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 spec customisation requirements: \n\n • Job responsibilities: \n \n, • Lead the development and maintenance of machine learning models to solve complex business problems\n, • Develop the technical skills of junior colleagues through mentorship and training\n, • Collaborate with cross functional teams to identify opportunities for leveraging data to drive business solutions\n, • Analyse large, heterogenous datasets to extract actionable insights and inform decision-making\n, • Stay updated with the latest advancements in machine learning and especially Large Language Models and agentic systems \n, • Identify the right state of the art solutions for the bank’s objectives and manage colleagues to implement them as clean, production-ready code\n, • Communicate findings and recommendations through clear and concise reports and presentations\n \n, • Required qualifications, capabilities and skills\n \n, • Experience leading teams to deliver production machine learning solutions\n, • Proficiency in Python and SQL and familiarity with good software engineering practices\n, • Excellent written and verbal communication\n, • Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn\n, • Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus\n, • Collaborative, humble and enthusiastic attitude\n \n, • Preferred qualifications, capabilities and skills\n \n, • Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc\n, • Experience in deep neural networks and familiarity with the latest developments in related fields\n, • Experience in LLM model finetuning and continuous learning techniques\n, • Experience in prompt engineering techniques and state-of-the-art LLM architectures\n \n\n #ICBCareers #ICBEngineering \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. 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 LexisNexis to connect them with exceptional professionals for this role. \n Are you ready to take your data science expertise to the next level and lead impactful projects? \n Would you enjoy working on advanced machine learning models and cutting-edge analytics solutions? \n About our team: \n We are a fast-moving, high-impact Data Science & AI team building real-world GenAI and ML solutions across the entire LexisNexis business. Our work powers smarter decisions for Product, Sales, Finance, Marketing, Customer Success, and Engineering—everything from predictive models to enterprise GenAI apps to automation that transforms how teams operate. \n We are data science generalists who love variety. One day, it is designing a new GenAI workflow, the next it is deploying a model into Salesforce or engineering a pipeline in Databricks. We own our projects end-to-end and partner directly with stakeholders to deliver solutions that get used and make a measurable difference. \n If you want to experiment, build, ship, and see your work drive real impact across a global organisation, you will feel right at home with us. \n About the role: \n We are seeking a Senior Data Scientist II who is a Data Science Generalist. The ideal candidate is comfortable working across GenAI, traditional machine learning, analytics, data engineering, cloud platforms, and enterprise system integrations. \n In this role, you will design, build, and deploy AI and ML solutions that support key business functions across Product, Sales, Finance, Marketing, Customer Success, and Engineering. You will work end-to-end across ideation, modelling, experimentation, prompt engineering, deployment, monitoring, and stakeholder communication. \n This position is ideal for a versatile data scientist who enjoys solving diverse problems, working with multiple systems, and driving measurable business impact. \n Responsibilities: \n\n • \n Build GenAI applications using OpenAI APIs, embeddings, vector search, and retrieval-augmented generation (RAG). \n\n\n • \n Design advanced prompt engineering patterns and automated evaluation frameworks for LLM quality and safety. \n\n\n • \n Develop and deploy traditional ML models (e.g., churn, propensity, sentiment/feedback, lead scoring, customer intelligence). \n\n\n • \n Own the end-to-end model lifecycle: data prep, experimentation, deployment, and monitoring. \n\n\n • \n Build and optimize feature pipelines and scoring jobs using Python, Databricks, Spark, Delta Lake, and AWS. \n\n\n • \n Use AWS services (S3, Redshift, Lambda) for data automation, orchestration, and scalable processing. \n\n\n • \n Ensure data quality, observability, lineage, and documentation across data and ML pipelines. \n\n\n • \n Deliver enterprise integrations with Salesforce (SFDC) and Oracle platforms (Fusion, Service Cloud, Peoplesoft) for batch and real-time workflows. \n\n\n • \n Create analytics solutions with cross-functional partners: define KPIs, connect customer/product/finance/CRM data, and drive actionable recommendations. \n\n\n • \n Productionise reliably: provide L2/L3 support, monitor drift/data quality/prompt performance, run root-cause analysis, and implement preventative fixes. \n\n Requirements: \n\n • \n Strong Python programming skills. \n\n\n • \n Direct experience with OpenAI APIs, LLM workflows, and prompt engineering. \n\n\n • \n Solid machine learning fundamentals, including supervised learning, NLP, and feature engineering. \n\n\n • \n Experience with Databricks, Spark, and Delta Lake. \n\n\n • \n Strong SQL skills with experience working on large datasets. \n\n\n • \n Experience with AWS, including S3 and Lambda. \n\n\n • \n Familiarity with Redshift, Snowflake, or other cloud data warehouses. \n\n\n • \n Experience with behavioral datasets. \n\n\n • \n Ability to work across machine learning, data engineering, analytics, and integrations. \n\n\n • \n Ability to design end-to-end solutions spanning data, models, APIs, and automation workflows. \n\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 LexisNexis to connect them with exceptional professionals for this role. \n Data Scientist III \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 Data Scientist III to help 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 the 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 measured by how well we deliver these results \n . \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 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 Wise is on a mission to facilitate borderless transactions – instant, transparent, and eventually free. Behind our seamless customer experience is a complex system of services that process over $100 billion annually for 16+ million customers worldwide. As we scale to serve millions more customers, reliability isn’t just a technical concern, it’s core to customer trust and business performance. \n The Platform Engineering Tribe: \n We are the backbone of Wise's technical infrastructure, ensuring everything runs smoothly for our customers and engineering teams. Our Reliability squad combines expertise in systems availability and uptime, monitoring performance metrics, and developing robust applications, to create a resilient platform that our customers can depend on 24/7/365. \n Our impact is indirect but critical: when Platform works well, every product team ships faster, safer, and at lower cost. We operate around four north-star KPIs: Productivity, Cost Efficiency, Risk, and Reliability. This role is responsible for reliability. \n The Role: \n In this role, you will partner with senior engineering and product leaders to bring clarity to reliability: what it means in practice, how we measure it, and where we need to improve. You will connect low-level system signals: incidents, performance, failure modes, to their impact on customers and the business, and use that understanding to shape decisions. \n You’ll play a key role in ensuring reliability is built into how we design and operate systems from the outset, not treated as an afterthought. This includes identifying where we are falling short, highlighting the most important risks, and influencing how teams invest their time between building new capabilities and strengthening existing systems. \n Success in this role means that: \n\n • \n Reliability improves in measurable ways across the platform \n • \n Teams make better, more informed decisions because of your work \n • \n Leadership has a clear, consistent view of reliability and its impact on customers \n\n This is a role for someone who combines analytical depth with strong judgement and a bias for impact: someone who wants to shape outcomes, not just describe them. \n About You: \n We’re looking for someone who is obsessed with moving metrics, not just analysing them. We care far more about what you changed than what you built. \n You might be a strong analyst, product-minded data scientist, or even an ex-engineer, but what matters most is that you: \n\n • \n Take ownership of outcomes, not just outputs \n • \n Are comfortable operating in ambiguity and shaping problems \n • \n Influence senior stakeholders without formal authority \n • \n Care about real-world impact more than perfect models \n\n How You’ll Work: \n\n • \n Own the Reliability metrics end-to-end: definition, measurement, targets, and progress \n • \n Partner deeply with engineering: understand systems, incidents, and trade-offs \n • \n Drive decisions: bring clarity to complex problems and push for action \n • \n Balance short vs long-term: incidents vs systemic improvements \n • \n Create leverage: frameworks, dashboards, and narratives that scales \n\n Technical Expectations: \n\n • \n Excellent SQL proficiency and experience with data visualization tools like Looker, Grafana, Lightdash, or Superset \n • \n Ability to build and manage data pipelines that are modularised and scalable, using tools like DBT and Airflow \n • \n Familiarity with observability/reliability concepts (SLIs, SLOs, incidents) \n • \n Some experience with Python / data transformation (DBT, etc.) is helpful \n\n This is not a data engineering role, depth in pipelines is less important than impact on decisions. \n Why Should You Join Our Team? \n\n • \n Own a company-level KPI: not a dashboard, but a real outcome \n • \n High leverage: your work affects hundreds of engineers and millions of customers \n • \n Complex, meaningful problems: distributed systems, real-time failures, trade-offs at scale \n • \n Influence without authority: work directly with senior engineering leadership \n\n Benefits: \n\n • \n Salary: £60,000-£85,000 \n • \n Competitive stock options in a profitable company \n • \n Flexible working conditions tailored to support a balance between work and personal life \n • \n Annual budget for personal and professional development \n\n Additional Information \n Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK. \n Commitment to Diversity: \n Wise is dedicated to fostering a diverse and inclusive workplace. We strongly encourage applications from all backgrounds and are committed to providing equal opportunity in our employment practices. \n If you're passionate about using your analytical skills to enhance platform reliability within a leading international financial services company, apply now to join us at Wise! \n Good Reads: \n\n • \n Platform Engineering KPIs \n • \n Scaling our infrastructure at Wise: how we make it work \n • \n Wise's Tech Stack 2025 \n • \n Measuring meaningful availability / uptime of Wise \n • \n Why Observability is a must for product engineering teams \n • \n Grafana Mimir Compaction: From Bottleneck to Savings \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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join a dynamic product team that continually strives to innovate, develop, and deliver exceptional technology initiatives. \n As a Product Manager within the Fusion team, you will serve as a crucial point of contact for both clients and internal teams, comprehending their business necessities and technical prerequisites. Your role will involve ensuring a smooth client experience by striking a balance between support, service, and relationship management. Adaptability, innovation, and a dedication to continuous learning are essential in this role to facilitate Fusion's growth. \n Job responsibilities \n\n • Provide exceptional support and guidance to clients through various channels (in-person, video conference, email, phone) ensuring they are fully equipped to utilize Fusion capabilities\n, • Act as a subject matter expert on Fusion, keeping abreast of latest product developments while providing insights and sharing best practice to clients and internal teams\n, • Design and implement efficient processes, including the creation of runbooks, to streamline client interactions and identify opportunities for process automation\n, • Develop and nurture strong relationships with clients and internal teams to gain a deep understanding of their business objectives and success criteria\n, • Partner with Fusion stakeholders during the implementation process of Fusion solutions, ensuring timely delivery and alignment with client expectations\n, • Collaborate with internal teams to identify key stakeholders, set project goals, and ensure accountability throughout the implementation lifecycle\n, • Understand the data/technology landscape across Financial Institutions and data management trends and challenges.\n\n Required qualifications, capabilities, and skills \n\n • Proficiency in Python, SQL and familiarity with other database technologies\n, • Proven track record of successfully managing client relationships and delivering solutions in a SaaS, Data, or Technology environment\n, • Exceptional communication and interpersonal skills, with a strong emphasis on client satisfaction and relationship building\n, • Proven ability to work collaboratively within cross-functional teams and independently when necessary\n, • Strong problem-solving skills, with the ability to identify issues and determine when escalation is required\n, • Experience in providing training and support to clients, enhancing their understanding and utilization of cloud-based data management platforms\n, • Comprehensive understanding of enterprise solutions, including cloud technologies, data management, and APIs\n, • Bachelor’s degree in Business, Data Science, Information Technology, or a related field\n\n Preferred qualifications, capabilities, and skills \n\n • Possession of advanced certifications in data science, cloud computing, or software engineering, such as AWS Certified Solutions Architect, Google Professional Data Engineer, Certified Data Scientist, or Project Management Professional (PMP)\n, • Possess knowledge of AI and machine learning methodologies, along with proficiency in AI tools and techniques, to enhance client solutions and drive innovation.\n, • Understanding of financial market data and fund services, including familiarity with major data vendors, to effectively address client needs and deliver tailored solutions using comprehensive data sources and analytics specific to the financial and fund services sectors\n, • Proven ability to integrate industry-specific insights into client solutions, enhancing the value and relevance of the Fusion platform for financial and fund services clients\n, • Strong analytical skills to interpret complex data sets and provide actionable insights that align with client objectives in the financial industry\n, • Prior direct vendor experience \n\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. 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.

Are you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and pro

About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “_,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. What You Will Do TetraScience is looking for a Technical Enablement Lead / Developer Relations Lead for the EU. The ideal candidate should have expertise in customer and field enablement, adult learning principles, educational program creation, use case architecture and implementation, and a genuine passion for Data and AI technologies. The candidate should be driven by a desire to educate and inspire, and have the technical skills to quickly prototype new ideas and solutions. And finally, the candidate should seek to ensure developers can be successful with minimal friction, and champion product and process changes that make this a reality. You will work to understand the needs of different user personas (data scientists, machine learning engineers, scientists and R&D IT analysts), analyze their data environment, assist in the design and implementation of self-service solutions, and create training artifacts to accelerate adoption and growth. This is a technical enablement role, interfacing between internal and external stakeholders including; sales teams, technical teams, customers and potential customers. Your expertise not only covers the technical aspects of data integration, storage, access and architectures but also includes the skills to convey complex technical concepts in a way that aligns with business needs and potential solutions. Your work will directly impact how developers adopt TetraScience’s Scientific Data & AI Cloud, leverage new platform capabilities, and innovate in our ecosystem. You’ll collaborate closely with Product, Platform Engineering, Field Engineering, Customer Engagement & Support, Sales, and Marketing teams to empower customers, technical field team members, and all customer-facing technical roles through exceptional enablement programs. You’ll set the strategy for EU developer experience and community, including partners, customers, and independent developers; and be responsible for how developers discover, onboard, build, and scale applications. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development. Your work will educate and inspire the biopharmaceutical industry as to the power of an open ecosystem where precisely engineered scientific data flows freely and without restrictions. Your success in this role will directly shape TetraScience's growth trajectory and market position while ensuring our platform is accelerating science and patient outcomes across countless use cases. Responsibilities • Scientific & Domain Expertise, • Deep understanding of pharmaceutical/life sciences R&D workflows, data, and scientific principles, • Ability to engage credibly with data scientists, lab scientists, and R&D IT stakeholders, • Technical Skills, • Able to code and build practical solutions using scientific data platforms, pipelines, and apps, • Translate complex technical problems into working implementations within a pharma context, • Training & Enablement, • Design and deliver in-person training sessions, workshops, and demonstrations for both technical and non-technical audiences, • Create supporting materials: tutorials, documentation, sample code, and best practice guides, • Communication & Collaboration, • Translate technical and scientific concepts into clear, accessible language for non-technical stakeholders, • Collaborate with Product, Engineering, and UX teams to surface customer feedback as actionable requirements Must Have: • 2+ years professional experience in a Life Sciences company and/or a scientific background, • 3+ years professional experience as data scientist, scientific data engineer, or solutions architect, • 2+ years professional experience in technical enablement and/or developer relations, • Solid experience running large scale enablement programs, and how to evangelize and roll out the programs effectively across the organization, • Exceptional communication, storytelling, and presentation skills, coupled with a strong executive presence and the ability to effectively influence and engage large audiences, • Strong technical background with hands-on experience in SQL, Python, and modern data stack technologies, • Deep understanding of drug discovery, development, and manufacturing processes, • Ability to travel regularly to customer locations and whiteboard the product strategy with them, • Experience with data governance, privacy, and compliance considerations, • Exceptional stakeholder management skills with ability to influence C-level executives, • Ability to deal with ambiguity and thrive in a constantly changing and evolving work environment, • Experience working with high-bandwidth and high-energy professionals, • Insatiable curiosity to learn, develop, and grow year-over-year, • Great interpersonal skills and an ability to coordinate and drive initiatives supporting multiple teams Nice To Have: • Experience at high-growth SaaS companies with complex data needs, • Previous experience as a practicing bench scientist is highly valued, • Previous experience within a biopharma company in an IT related function is a big plus, • Background in technical support / field service highly valuable - this demonstrates your ability to internalize complexities and tailor explanations for a given audience, • Familiarity with enterprise sales processs within the pharmaceutical sector, • Experience with AWS application stack, • Competitive Salary and equity in a fast-growing company., • Supportive, team-oriented culture of continuous improvement., • Generous paid time off (PTO)., • Flexible working arrangements - Remote work. We are not currently providing visa sponsorship for this position

Data Scientist \n Salary: £60,000 - £90,000 + Equity PotentialLocation: London (Hybrid)Security Requirement: Must be eligible for SC Clearance (minimum 5 years continuous UK residency) \n Help Build the Future of AI-Powered Public Safety \n We're partnering with a highly ambitious, venture-backed technology company operating in stealth mode. Their mission is to become the world's leading AI company serving the law enforcement and public safety sector. \n The Opportunity \n We're looking for a Data Scientist with strong experience in time-series analysis, signal processing and applied machine learning. This role focuses on transforming complex streams of telemetry data, including heart rate, movement, location and stress indicators, into meaningful behavioural and operational insights. \n This isn't a traditional data science role centred around dashboards or reporting. Instead, you'll be responsible for building the inference layer that sits between raw sensor data and real-world decision making. You'll develop models that identify patterns, detect anomalies and establish behavioural baselines, helping create AI-powered systems capable of delivering critical insights in real time. \n We're particularly interested in candidates with experience working on wearable technology, physiological data, telemetry platforms, IoT devices or other sensor-based environments. \n Key Responsibilities \n\n • Develop machine learning models and inference systems using complex sensor and telemetry data.\n, • Analyse multivariate time-series datasets to identify behavioural patterns and operational insights.\n, • Build anomaly detection and behavioural baselining models.\n, • Translate raw telemetry streams into meaningful, actionable intelligence.\n, • Work with streaming and low-latency data architectures to support real-time decision making.\n, • Collaborate with software engineers and AI specialists to take solutions from research through to production deployment.\n, • Continuously optimise model performance, accuracy and scalability.\n, • Contribute to technical strategy, experimentation and product development.\n, • Take ownership of complex problems across data science, product and engineering domains.\n\n What We're Looking For \n Essential Experience \n\n • Strong commercial experience in Data Science, Machine Learning or Applied AI roles.\n, • Hands-on experience working with time-series data and signal processing.\n, • Experience analysing telemetry, sensor, wearable, physiological or similar real-world datasets.\n, • Strong understanding of multivariate time-series modelling.\n, • Experience developing anomaly detection and behavioural baselining solutions.\n, • Ability to take machine learning solutions from research and experimentation into production environments.\n, • Experience solving complex problems through iteration, optimisation and experimentation.\n, • Strong coding and analytical skills.\n, • Ability to work autonomously within a fast-paced, highly collaborative environment.\n, • Previous experience within a start-up, scale-up or SME setting.\n\n Highly Desirable \n\n • Experience working with smart watches, wearable health technology or IoT platforms.\n, • Exposure to low-latency or streaming inference architectures.\n, • Experience working within public safety, security, defence, healthcare or other regulated sectors.\n\n Why Join? \n\n • Join a stealth-mode AI business with significant growth ambitions.\n, • Work on technology with genuine impact in public safety and law enforcement.\n, • Help build AI products from the ground up.\n

Applied AI Scientist\n Location: London \n We're looking for a hands-on Applied AI Scientist to design, build and deploy real-world AI solutions in complex, constrained environments. This is a senior technical role focused on delivery and impact - ideal for someone who enjoys solving challenging problems and influencing through expertise. What you'll be doing\n\n • Designing, building and deploying AI/ML solutions end-to-end\n, • Working closely with users to translate real-world problems into technical solutions\n, • Developing models using production-grade Python\n, • Deploying AI solutions in secure, offline / air-gapped environments\n, • Working with GPU hardware for training and inference\n, • Optimising performance, scalability and system resilience\n, • Influencing technical direction through delivery and expertise\n, • Sharing knowledge and supporting continuous learning across the team\nWhat we're looking for\n Essential: \n\n • Strong experience as an Applied AI Scientist / Data Scientist\n, • Excellent Python engineering skills (production-level)\n, • Experience building and deploying AI solutions without reliance on cloud-managed services\n, • Solid understanding of modern AI/ML techniques\n, • Experience with GPU-based model training/inference\n, • Ability to work independently and own delivery end-to-end\n, • Strong problem-solving skills and stakeholder engagement\n\n Nice to have: \n\n • Experience in secure or air-gapped environments\n, • Experience with edge or constrained systems\n, • Background delivering AI in real-world operational environments\n, • Ability to influence technical decisions without formal authority\nWhy join?\n\n, • Work on complex, real-world AI challenges\n, • High-trust, collaborative environment focused on impact\n, • Opportunity to shape solutions in cutting-edge, constrained environments\n\n If you're a hands-on AI engineer who thrives on solving real problems and delivering impact, apply now. \n \n Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

\n • Must have active enhanced DV Clearance\n, • Junior to Lead levels available\n, • £45k to £95k DoE plus 15% clearance bonus\n, • Must be willing to be full-time on-site in Central London\n, • Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy\n\n \n Who are we? \n We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. \n \n What will the Data Scientist be doing? \n Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. \n \n Key Skills and Requirements \n\n • Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis.\n, • Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes.\n, • Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors.\n, • Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform.\n, • Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools.\n\n \n To be Considered: \n Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. \n \n KEY SKILLS: \n Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

We work with a range of UK employers actively hiring across these roles. \n Job Description: \n UK-Based (On-Site, Hybrid or Remote) \n About the Roles We're looking for talented Data Scientists at all levels—from Data Scientist through to Senior, Lead and Principal, and spanning Applied Scientist, Research Scientist, Decision Scientist and Product Data Scientist—for upcoming roles where data science genuinely drives decisions. These are roles focused on insight, experimentation and modelling: turning messy real-world data into the understanding and predictions that change what a business does next. \n You'll work across the full data science lifecycle—from framing the problem and exploring the data through to modelling, experimentation, communication and measuring impact. The role suits someone who pairs strong statistical and modelling rigour with genuine curiosity about the problem and the storytelling skill to make a result land with the people who'll act on it. \n Key Responsibilities \n\n • Frame business questions as tractable data science and experimentation problems\n, • Conduct exploratory analysis, statistical modelling and hypothesis testing\n, • Build predictive and inferential models that drive real decisions\n, • Design and analyse experiments—A/B testing and causal inference\n, • Apply machine learning where it's the right tool, with a focus on insight and impact\n, • Communicate findings and recommendations clearly to technical and non-technical audiences\n, • Partner with ML engineers to productionise models that need to ship and scale\n, • Develop metrics and measurement frameworks that help teams make better decisions\n, • (For Senior / Lead roles) Set standards, mentor scientists and lead cross-functional initiatives\n\n What You'll Bring \n Technical Expertise: \n\n • Strong Python (pandas, scikit-learn, statsmodels) and / or R\n, • Solid statistics—inference, experimental design and causal methods\n, • Machine learning—supervised and unsupervised methods and rigorous evaluation\n, • Strong SQL and comfort with messy, real-world data\n, • Experimentation and A/B testing, and causal inference techniques\n, • Cloud and notebook environments; exposure to ML frameworks (PyTorch, TensorFlow) is a plus\n, • Awareness of LLMs and generative AI for applied use cases\n\n A note on scope: this lane is about insight, experimentation and modelling. If your focus is productionising, serving and operating models at scale, our AI / ML Engineer roles are likely the better fit—and we're hiring across both. \n Analytical & Soft Skills: \n\n • Genuine curiosity about the problem behind the data\n, • Rigour in methodology, validation and reproducibility\n, • Excellent communication and data storytelling\n, • Strong business sense—connecting analysis to decisions and outcomes\n, • Comfortable with ambiguity and shaping unclear questions into structured work\n, • Collaborative approach across product, engineering and commercial teams\n\n Domain Flexibility: \n\n • Roles span product, marketing, customer, risk, operations and research across SaaS, fintech, retail, healthcare, media and public sector\n, • Background in any of these is welcomed; appetite to learn an adjacent domain valued just as much\n\n Experience Level: \n\n • Minimum 2+ years for Data Scientist, 5+ for Senior, 8+ for Lead / Principal\n, • Background in data science, applied science, research science or decision science\n, • Examples of models, experiments or analyses you've owned end-to-end and the decisions they shaped\n\n What We Offer \n\n • The opportunity to work where data science genuinely drives decisions, not just dashboards\n, • Exposure to modern data science tooling, experimentation platforms and ML frameworks\n, • Roles at the level you're ready for—we're hiring across the full data science spectrum\n, • A collaborative environment where statistical rigour and clear communication are both valued\n, • Clear scope to develop specialist depth (causal, product, research, applied ML) or stay broad\n, • Flexible working arrangements (on-site, hybrid or remote) and supportive team culture\n

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. \n If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. \n We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. \n Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. \n Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. \n Current average salaries in the sector for lower-level positions and fully trained Data Experts: \n\n • Junior Data Analyst - £30,000\n, • Data Analyst - £50,000\n, • Business Analysts - £60,000\n, • Data Scientist - £65,000\n\n Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. \n Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. \n Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. \n Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. \n Step 1 - Data Administration Training \n Data is extracted using various method which are normally IT driven. \n We provide you with access to the following courses to ensure you are employable as a data analyst. \n\n • Microsoft excel - to expert level.\n, • Learn SQL - the programming language used for extracting data from more complex databases.\n, • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.\n, • Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.\n\n Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. \n Step 2 - CompTIA Data+ Qualification \n The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. \n This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. \n Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. \n The course is online and comes complete with exam simulators and revision tools. \n You will have access to a tutor and a 1-hour online revision workshop prior to your exam. \n This qualification sets you on course to becoming a data analyst. \n Step 3 - Business Analysis Foundation \n Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. \n A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. \n Study time is around 15 hours, and qualification is achieved by online exam. \n Step 4 - Recruitment Support \n Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. \n We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. \n Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. \n They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. \n Step 5 - CompTIA Data X Qualification \n Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. \n This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. \n Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. \n Our money back guarantee \n If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. \n However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. \n Check out our testimonials. \n What Now? \n To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. \n Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. \n If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. \n We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. \n Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. \n Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. \n Current average salaries in the sector for lower-level positions and fully trained Data Experts: \n\n • Junior Data Analyst - £30,000\n, • Data Analyst - £50,000\n, • Business Analysts - £60,000\n, • Data Scientist - £65,000\n\n Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. \n Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. \n Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. \n Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. \n Step 1 - Data Administration Training \n Data is extracted using various method which are normally IT driven. \n We provide you with access to the following courses to ensure you are employable as a data analyst. \n\n • Microsoft excel - to expert level.\n, • Learn SQL - the programming language used for extracting data from more complex databases.\n, • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.\n, • Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.\n\n Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. \n Step 2 - CompTIA Data+ Qualification \n The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. \n This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. \n Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. \n The course is online and comes complete with exam simulators and revision tools. \n You will have access to a tutor and a 1-hour online revision workshop prior to your exam. \n This qualification sets you on course to becoming a data analyst. \n Step 3 - Business Analysis Foundation \n Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. \n A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. \n Study time is around 15 hours, and qualification is achieved by online exam. \n Step 4 - Recruitment Support \n Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. \n We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. \n Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. \n They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. \n Step 5 - CompTIA Data X Qualification \n Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. \n This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. \n Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. \n Our money back guarantee \n If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. \n However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. \n Check out our testimonials. \n What Now? \n To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. \n Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Senior Data Scientist / Machine Learning Specialist\n 6 Month Contract | Inside IR35 | Hybrid London 2 to 3 days per week£637.50 to £935 per day Start Date: 1st September 2026 | Interviews taking place immediately \n We are supporting a leading consultancy on an engagement focused on advanced analytics, risk modelling and data driven decision making across complex regulatory and financial environments. \n This is a high impact contract role for an experienced Data Scientist or Machine Learning Specialist who can operate across the full lifecycle from exploratory analysis through to deployment and monitoring within a modern production environment. What You Will Be Doing\n\n • Building and validating machine learning models including classification, unsupervised learning such as anomaly and outlier detection and ranking models\n, • Performing deep exploratory data analysis to identify trends, risk clusters and early signals\n, • Conducting time series analysis to assess trends across financial periods\n, • Engineering robust features from structured and semi structured datasets\n, • Deploying models into production using containerised environments\n, • Working closely with stakeholders to translate business challenges into analytical solutions\n, • Supporting model monitoring, optimisation and drift detection\nCore Skills and Experience\n\n, • Strong Python experience including pandas, NumPy and scikit learn for modelling and data manipulation\n, • Advanced SQL skills for querying structured datasets\n, • Proven experience developing and validating machine learning models\n, • Experience with ML deployment using containerisation or pipeline tools such as SageMaker or similar\n, • Strong experience with Git for version control\n, • Solid understanding of time series analysis and trend evaluation\n, • Excellent exploratory data analysis skills\nDesirable Experience\n\n, • Knowledge of ensemble and rank aggregation techniques such as Robust Rank Fusion\n, • Experience with model explainability tools such as SHAP or LIME\n, • Exposure to model monitoring frameworks and drift detection\n, • Background in regulatory, risk or financial crime related projects\n, • Experience with record linkage or entity resolution\n, • Knowledge of graph analytics including Cypher or Gremlin, graph databases such as Neo4j or Neptune and network analysis or visualisation tools\nWhy This Role\n\n, • Opportunity to work on complex data challenges within a consulting environment\n, • Exposure to advanced machine learning techniques and modern deployment practices\n, • High impact role with strong ownership and autonomy\n\n If you are an experienced Data Scientist with strong modelling expertise and experience delivering in fast paced environments, apply now. Interviews are being arranged immediately. \n \n

Contract Job alert** Seeking 2x Data Scientist 6 months+ on-going contract - 3 days on site near Heathrow - Inside IR35 Please note that UK-based candidates only - 5 years of UK residency and, ideally, a British citizen is required. 1x Data Scientist (Supply Chain)Must have -A deep knowledge of supply chain models and analytics, to help build the right models with the right science behind them. Including: o Understanding of how to handle/model slow moving partso Multi-echelon inventoryo How to balance cost and service levels (fill rates and cycle service levels)o Developing analytical solutions using the core packages for data science, optimisation and simulation.o Creating data pipelines (even though we will have a data engineer) and to get these into production.o Knowledge of the software engineering techniques to get the solution into production. 1x Data Scientist - (Predictive Maintenance)Must have:-· Full stack data scientist with both science and engineering skills to develop ML solutions and get them into production· Senior individual contributor...able to draw upon a wide experience of problems and solutions to technically guide more junior data scientists.· Expert in applied machine learning, including the techniques currently being used in PRISM (XGBoost and SHAP)· Experience of using machine learning to solve commercial predictive· Ideally, experience with Causal MLBoth roles require Stakeholder management skills (defining and prioritising requirements, contributing to product roadmap, supporting adoption). \n Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Are you looking to benefit from a new career in Software Development? \n Skills shortages in the IT sector is driving the need for qualified, entry-level career seekers and career changers. \n We help place graduates from this programme in top UK companies and organisations needing to employ entry-level software development staff that can hit the ground running with up-to-date skills gained from this programme. \n The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge, and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. \n Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in four simple steps. \n Step 1 -HTML and CSS Online Training (*12 weeks) \n The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. \n\n • HTML Essentials (6 weeks)\n, • CSS Essentials (6 weeks)\n\n The training is delivered via multimedia rich video tutorials, presentations, and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. \n Once the HTML & CSS courses are complete, you will be ready to move forward. \n Step 2 -Online Training (*12 weeks) \n The second step includes a selection of more advanced courses to get you up to speed. \n\n • Learn the Command Line (1.5 weeks)\n, • Learn Git & GitHub (1.5 weeks)\n, • Learn JavaScript (1.5 weeks)\n, • Learn Python 3 (1.5 weeks)\n\n JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. \n Step 3 - Build a Portfolio Website Project (1 week) \n Additional Courses \n\n • AWS Certified Cloud Practitioner\n, • Microsoft Certified: Azure Administrator Associate\n\n Step 4 -Entry Level Development placement (£25K - £40k) \n We work with you to secure your first role in software development, website administration or programming, with a starting salary of anywhere between £25K - £40k. While working in your first role, we will release your second batch of training which is specifically designed to increase your development knowledge to help you develop your career further to become a software developer. \n We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. \n In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. \n Job Guarantee \n Due to the success of this programme and the skills shortage of entry-level development staff, we can guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. \n Enthusiastic about starting a career in coding? Apply now and one of our friendly advisors will be in touch. \n Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Data Scientist - London \n This is an exciting opportunity for a Data Science professional to join a leading Analytics department within the Financial Services industry. Based in London, you will play a key role in driving data-driven decision-making and developing innovative solutions. \n Client Details \n Data Scientist - London \n The company is a well-established organisation within the Financial Services sector, known for its robust expertise in analytics and data-driven insights. As a large organisation, it offers a structured and professional environment with opportunities to work on impactful projects. \n Description \n Data Scientist - London \n\n • Build and deploy machine learning models used in real-world applications\n, • Work with both structured data and text (NLP) to generate insights\n, • Design and maintain data pipelines and production-ready systems\n, • Apply statistical methods to evaluate models and ensure reliability\n, • Collaborate with domain experts to solve complex analytical problems\n, • Communicate findings clearly to both technical and non-technical stakeholders\n\n Profile \n Data Scientist - London \n A successful Data Science professional should have: \n\n • Hands-on and practical experience building models, and making them usable.\n, • Ability to think quantitatively and statistically, not just in terms of tools.\n, • Comfortable working across data, models, and production systems.\n, • Ability to clearly explain your work and translate complex ideas into simple insights.\n, • Strong Python skills, with the ability to write clean, production-quality code\n, • Solid grounding in statistics (not just surface-level understanding)\n, • Experience with machine learning, including classical models and some modern NLP approaches\n, • Experience building models that are actually used in production\n, • Comfortable working with real-world, messy datasets.\n, • Familiarity with data pipelines, deployment, and maintaining ML systems\n, • Experience with NLP / text modelling (e.g. classification, embeddings, transformers)\n, • Exposure to finance, economics, or risk-related data.\n\n Job Offer \n Data Scientist - London \n\n • Competitive salary ranging from £75,000 to £90,000 per year + Company benefits.\n, • Standard benefits package to support your professional and personal growth.\n, • Permanent role offering stability and career progression opportunities.\n, • An opportunity to work in the heart of London within the Financial Services industry.\n, • Be part of a well-established organisation with a focus on analytics and innovation.\n\n If you are a motivated Data Science professional looking to advance your career in London, we encourage you to apply for this exciting opportunity!

Business Analyst - Salesforce (2 x Contract Opportunities) SC Clearance is required\n £600-£650 per day | Inside IR35 | Hybrid (1 day per week in London, Cardiff or Glasgow)3-Month Contract & 6-Month Contract AvailableMorgan Hunt are delighted to be working with a leading Government organisation to recruit two experienced Business Analysts to support a major Salesforce transformation programme.These are exciting opportunities to join a high-profile digital programme, working alongside delivery teams, technical specialists and senior stakeholders to help shape and improve critical public services.We're looking for experienced Business Analysts with strong stakeholder management skills, Agile experience, and a proven track record of delivering successful Salesforce projects. Opportunity 1 - Business Analyst (3-Month Contract)\n This role will primarily support the organisation's Salesforce Centre of Excellence (CoE), acting as the business-facing lead for demand management and continuous improvement across the Salesforce platform. Key Responsibilities\n\n • Own and manage the Salesforce Centre of Excellence Continuous Improvement backlog.\n, • Work with business stakeholders to prioritise enhancements aligned to organisational objectives.\n, • Gather, analyse and refine business requirements for new Salesforce initiatives.\n, • Work closely with Product Owners, Business Analysts, users and technical delivery teams.\n, • Coordinate with external System Integrator (SI) partners on solution design, delivery planning, testing and implementation.\n, • Champion Salesforce governance, best practice and platform adoption across the organisation.\nEssential Experience\n\n, • Previous experience working with Salesforce (ideally Service Cloud and Experience Cloud).\n, • Strong experience managing backlogs and prioritising demand.\n, • Requirements gathering and stakeholder engagement expertise.\n, • Experience working alongside System Integrators and third-party delivery partners.\n, • Excellent business analysis, facilitation and workshop skills.\n, • Ability to produce high-quality user stories and functional requirements.\n, • Experience working within Agile delivery environments.\nOpportunity 2 - Business Analyst (6-Month Contract)\n This role will support a multidisciplinary delivery team, working closely with the Delivery Manager, Technical Lead, Data Scientist, Change Lead and business SMEs to ensure solutions are aligned to operational needs, policy objectives and programme outcomes. Key Responsibilities\n\n • Engage with stakeholders across the organisation to understand business needs.\n, • Produce current-state and future-state process maps.\n, • Capture, document and prioritise functional, technical and reporting requirements.\n, • Produce Agile user stories and acceptance criteria.\n, • Conduct gap analysis across business processes, systems and data.\n, • Maintain business rules and decision logs.\n, • Support RAID management by identifying business risks, assumptions, issues and dependencies.\n, • Produce UAT materials and support business testing.\n, • Ensure requirements align with project benefits and success measures.\nEssential Experience\n\n, • Extensive Business Analysis experience on complex digital transformation programmes.\n, • Strong process mapping and business process improvement experience.\n, • Excellent stakeholder management across business and technical teams.\n, • Experience producing high-quality requirements documentation and user stories.\n, • Strong understanding of Agile delivery methodologies.\n, • Experience supporting UAT, business readiness and change activities.\n, • Previous experience working within Government or large, complex organisations would be advantageous.\n, • Salesforce experience is highly desirable.\nContract Details\n\n, • Day Rate: £600-£650 per day (Inside IR35)\n, • Contracts Available: 1 x 3-Month Contract & 1 x 6-Month Contract\n, • Location: Hybrid working with 1 day per week in either London, Cardiff or Glasgow\n, • Start Date: ASAP\n\n \n Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.

Trainee Coding Programme – No Experience Needed \n Future-proof your career in Coding – starting today. \n \n Looking for a career change? Maybe you’re already working but want a more technical role with better long-term prospects. Or you could be between jobs and ready for a fresh start in tech. \n The ITOL Recruit Coding Job Programme is designed to help you move into a high-demand coding role, even if you have no prior experience. \n Train online at your own pace and land your coding role in 1-3 months. \n Please note this is a training course and fees apply \n Job guaranteed - complete the programme and get a job or get your money back. \n Our candidates earn £28,000-£50,000. \n \n Step 1 -HTML and CSS Online Training (*12 weeks) \n The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. \n\n • HTML Essentials (6 weeks)\n, • CSS Essentials (6 weeks)\n\n The training is delivered via multimedia rich video tutorials, presentations, and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. \n Once the HTML & CSS courses are complete, you will be ready to move forward. \n Step 2 -Online Training (*12 weeks) \n The second step includes a selection of more advanced courses to get you up to speed. \n\n • Learn the Command Line (1.5 weeks)\n, • Learn Git & GitHub (1.5 weeks)\n, • Learn JavaScript (1.5 weeks)\n, • Learn Python 3 (1.5 weeks)\n\n JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. \n Step 3 - Build a Portfolio Website Project (1 week) \n Additional Courses \n\n • AWS Certified Cloud Practitioner\n, • Microsoft Certified: Azure Administrator Associate\n\n Step 4 -Entry Level Development placement (£25K - £40k) \n We work with you to secure your first role in software development, website administration or programming, with a starting salary of anywhere between £25K - £40k. While working in your first role, we will release your second batch of training which is specifically designed to increase your development knowledge to help you develop your career further to become a software developer. \n We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. \n In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. \n Job Guarantee \n Due to the success of this programme and the skills shortage of entry-level development staff, we can guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. \n Enthusiastic about starting a career in coding? Apply now and one of our friendly advisors will be in touch. \n Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

\n • Have you previously served in the military, blue light services or currently as a serving reservist or military spouse?\n, • Do you have demonstrable experience in Data, Analytics, or related technology roles?\n, • Are you ready to transition into a new career with upskilling and career coaching included?\n\n Then you’ll want to hear about our award-winning Ex-Forces Programme — designed to help service leavers, veterans and former blue light personnel transition into a new civilian career in our Data and Analytics Practice. \n Since 2012, FDM’s Ex-Forces Programme has provided a next step for over 1,100 people globally, offering opportunities for personnel from all ranks across the three services into a new career in business and technology consultancy. No university degree required. \n Delivering industry recognised coaching, our Ex-Forces programme provides a soft landing into a meaningful second career as an FDM Consultant with renowned businesses, and in an ever-growing industry. \n You’ll be joining FDM as a Consultant within our Data and Analytics Practice, where you will be delivering large-scale projects for our clients across a wide range of sectors and specialist areas. \n Depending on your background and experience, you could take on the role of: \n\n • BI Developer\n, • Data Engineer\n, • Data Scientist \n, • Machine learning Engineer\n, • Robotic Process Automation Consultant \n\n Within the FDM Skills Lab you’ll receive upskilling in: \n\n • Business intelligence and advanced analytics\n, • Diverse data modelling, engineering and warehousing\n, • Automation and machine learning\n, • Modern data platforms and tools used to forecast, analyse and unlock business value\n\n This structured learning is designed to complement your prior experience, helping you gain momentum and confidence while staying aligned with the current market. \n There are progression opportunities towards Principal Consultant level and the opportunity to explore diverse roles and assignments for a range of global companies. \n About You \n Open to UK service leavers, veterans, reservists, former Blue light Personnel and eligible military spouses who have experience in analytical, technical or data-focused roles. \n Suitable backgrounds include intelligence, signals, cyber, information systems, engineering, operational planning, capability analysis, logistics or technical trades where analysing data, producing reports, working with complex systems or supporting decision-making was part of your role and responsibilities. \n This programme supports transition into civilian careers in Data and Analytics, with structured training, coaching and no degree requirement. \n Minimum qualifications \n\n • Previous career in the military, blue light services or as a serving reservist\n, • Experience in service within data analytics, technology or a related field\n, • A strong aptitude and interest in business and technology as well as data driven problem solving\n, • Commitment to at least two years of full-time employment with FDM\n, • The right to work in the UK\n\n Why join us? \n\n • Support from the Ex-Forces network within FDM\n, • Two days per annum allocated to support military charities of your choice\n, • Career coaching, mentoring and access to upskilling throughout your entire FDM career\n, • Initial upskilling pre-assignment that has been accredited by TechSkills\n, • Assignments with global companies and opportunities to work abroad\n, • Opportunity to obtain certifications from Microsoft, Salesforce, Cisco and more\n\n About Us \n FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK ‘Best Employer’. \n Diversity and Inclusion \n FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.

Are you looking to benefit from a new career in Programming? \n Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. \n We help place graduates from this programme in top UK companies and organisations needing to employ entry-level Programming staff that can hit the ground running with up-to-date skills gained from this programme. \n The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. \n Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in 4 easy steps. \n Step 1 -HTML and CSS Online Training (*12 weeks) \n The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. \n\n • \n HTML Essentials (6 weeks) \n • \n CSS Essentials (6 weeks) \n\n The training is delivered via multimedia rich video tutorials, presentations and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. \n Once the HTML & CSS courses are complete, you will be ready to move forward. \n Step 2 -Online Training (*12 weeks) \n The second step includes a selection of more advanced courses to get you up to speed. \n\n • \n Learn the Command Line (1.5 weeks) \n • \n Learn Git & GitHub (1.5 weeks) \n • \n Learn JavaScript (1.5 weeks) \n\n\n • \n Learn Python 3 (1.5 weeks) \n\n JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. \n Step 3 - Build a Portfolio Website Project (1 week) \n Additional Courses \n\n • \n AWS Certified Cloud Practitioner \n • \n Microsoft Certified: Azure Administrator Associate \n\n Step 4 - Junior Programmer placement (£25K - £40k) \n We work with you to secure your first role as a Junior Programmer, with a starting salary of anywhere between £25K - £40k. While working as a Junior Programmer, we will release your second batch of training which is specifically designed to qualify you to move into the programming field. \n Programmer Role \n Once you have completed all the mandatory training in step four and have gained two plus years experience in the coding industry, you will be ready to move into higher paying programming roles. Our recruitment support team specialises in the Web and programming space and roles at this level have an average starting salary of £45K. \n We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. \n In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. \n Job Guarantee \n Due to the success of this programme and the skills shortage of entry-level coding staff, we can guarantee you will secure a job upon completion of your study programme or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. \n Passionate about starting a career in coding? Apply now and one of our friendly advisors will be in touch. \n Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Senior Machine Learning Engineer\n Applying rigorous machine learning to real-world problems that matter \n We're looking for a Senior Machine Learning Engineer to join a multidisciplinary data and AI team delivering high-impact, real-world solutions in a secure and highly regulated environment. \n This is a senior, hands-on practitioner role, not a people-management position. You'll operate with a high degree of autonomy, leading complex machine learning work end-to-end through technical depth, sound judgement, and delivery credibility. \n The organisation is outcome-led rather than technology-led. Where strong market solutions exist, they are used. Machine learning is built in-house only where problems are genuinely complex, niche, or sensitive - requiring experimentation, evaluation, and iteration beyond what can be bought. This means the work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing\n You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. \n You will: \n\n • Lead end-to-end machine learning delivery, from problem definition through experimentation, evaluation, and iteration\n, • Apply mathematical, statistical, and scientific reasoning to form hypotheses, quantify uncertainty, and interpret results\n, • Design and run structured experiments to assess model behaviour, performance, and user impact\n, • Work with real, imperfect operational data, not just curated or static datasets\n, • Collect, assess, and transform data to support model evaluation and continuous improvement\n, • Balance rigour with pragmatism, delivering solutions that are robust, proportionate, and fit for purpose\n, • Integrate machine learning components into wider systems, considering performance, reliability, and operational constraints\n, • Communicate complex technical ideas clearly to non-technical stakeholders, enabling informed decision-making\n, • Engage confidently in deep technical design and review discussions with peers\n, • Operate effectively within a strong technical assurance and review culture\n, • Collaborate with internal teams and selected external partners working at the leading edge of AI\nWhat we're looking for\n This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. \n Essential experience: \n\n • Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent\n, • Strong grounding in applied mathematics, statistics, and scientific practice\n, • Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation\n, • Excellent Python skills for building, evaluating, and iterating on ML solutions\n, • Experience working with real-world, imperfect data from operational systems\n, • Strong software engineering practices, including readable, maintainable, and well-tested code\n, • Experience integrating ML components into broader production systems\n, • Clear understanding of data ethics, privacy, and responsible use of data\n, • Strong communication skills across technical and non-technical audiences\n, • Proven ability to lead work independently and take ownership of outcomes\nTechnologies you'll encounter\n The environment evolves, but typical tools include: \n\n • Python for experimentation, modelling, and evaluation\n, • Weights & Biases (or equivalent) for experiment tracking\n, • AWS, including services such as SageMaker and Bedrock\n, • Internally supported AI development platforms and tooling\n\n This role is not suited to candidates who are dogmatic about specific tools. Adaptability and outcome focus matter more than platform allegiance. Desirable experience\n\n • Working in secure, safety-critical, or heavily regulated environments\n, • Background in sectors such as energy, oil & gas, defence, or public sector\n, • Experience within formal technical assurance or governance processes\n, • Collaboration with external suppliers, partners, or research organisations\n, • Comfort operating at pace where quality, safety, and compliance are non-negotiable\n\n If you enjoy solving complex problems, applying scientific thinking to messy reality, and delivering ML that stands up to scrutiny, this role offers both challenge and meaning. If interested, apply now! \n \n Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Lead Data Scientist \n We are seeking an experienced Lead Data Scientist to join a high-impact team developing predictive analytics and data products within a regulated financial services environment. \n Location - London Contract – Inside IR35 Working Pattern - Hybrid \n Skills & Experience \n This role will focus on transforming large-scale customer datasets into robust, auditable predictive models, supporting forecasting, risk analysis and commercial data products. \n Key skills & experience \n\n • Strong Python (Pandas, NumPy, Scikit-learn) and SQL skills.\n, • Experience with Snowflake or similar cloud data platforms.\n, • Proven track record building predictive models in regulated financial services environments.\n, • Credit risk modelling experience, including PD models, scorecards or similar.\n, • Strong understanding of model governance, validation and audit requirements.\n, • Experience with GDPR and AI governance frameworks.\n\n Key responsibilities \n\n • Build and deploy predictive and credit risk models.\n, • Lead exploratory data analysis, feature engineering, model validation and monitoring.\n, • Develop forecasting, simulation and stress-testing models.\n, • Work with data engineering teams to create modelling-ready datasets using Snowflake.\n, • Ensure models and processes meet regulatory and governance standards.\n, • Collaborate closely with product and business stakeholders to deliver data-driven solutions.\n\n \n Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. \n Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation \n We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

We are partnering with an innovative and rapidly growing AI-focused SME developing cutting-edge technologies to support law enforcement and public sector organisations. \n This is a unique opportunity to join a scaling business at an early stage, where you will have the autonomy to shape solutions, influence direction, and work on impactful, real-world challenges. \n This is a permanent position based in London with flexible working and a salary banding of £60,000 to £90,000 + excellent benefits. \n About the Role \n We are seeking a Data Scientist to work on advanced analytical solutions across biometric and geospatial (GPS) datasets, with a particular focus on anomaly detection. \n You will work with multiple complex data streams, including biometric data captured via wearable technologies and location-based datasets. This role will suit someone who enjoys working close to the intersection of software, data, and hardware, gaining an understanding of how data is captured as well as how it is analysed. \n You’ll play a key role in developing scalable models and helping define the technical direction in a fast-paced, evolving environment with minimal structure. \n Key Responsibilities \n\n • Develop and deploy data science models, with a focus on anomaly detection\n, • Work across multiple datasets, including biometric and GPS/location data\n, • Analyse and interpret data generated from wearable hardware devices\n, • Collaborate with engineering teams to understand data capture mechanisms and pipelines\n, • Contribute to shaping the technical roadmap and direction of the product\n, • Explore opportunities to leverage AI/ML techniques (including LLM-related approaches where relevant)\n, • Scale solutions from prototype through to production\n\n Key Requirements \n\n • Proven experience as a Data Scientist within an SME or scaling environment\n, • Strong experience in machine learning and anomaly detection techniques\n, • Experience working with time-series, biometric, or GPS/location data\n, • Understanding of how data is generated from hardware or IoT/wearable devices\n, • Ability to operate with limited direction and take ownership of solutions\n, • Strong programming skills (e.g. Python, relevant ML libraries)\n, • Experience deploying models into production environments\n\n What’s on Offer \n\n • Salary of £60,000 – £90,000\n, • Opportunity to join a high-growth AI company at an early stage\n, • High level of ownership and influence over technical direction\n, • Work on mission-critical solutions supporting law enforcement\n, • Exposure to cutting-edge problems across AI, biometrics, and geospatial data\n

Lead Data Scientist – Credit Modelling & Data Products \n My client is building a next-generation data and analytics capability using large-scale financial datasets spanning millions of records. Their goal is to transform complex data into predictive insights, industry intelligence, and innovative data products that create real business value. \n As Lead Data Scientist, you will be responsible for designing, building, and governing predictive models that support data-driven products and strategic decision-making. You will work closely with engineering and product teams to transform raw data into robust, auditable, and commercially valuable solutions. \n Skills & Experience \n Technical Expertise \n\n • Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.\n, • Hands-on experience with Snowflake or similar cloud-based data warehouse platforms.\n, • Experience using Git and reproducible development practices.\n, • Strong understanding of data pipelines, data quality, and analytics engineering principles.\n\n Credit Modelling & Predictive Analytics \n\n • Proven experience conducting rigorous exploratory data analysis and feature engineering.\n, • Experience building predictive models in regulated financial services environments, ideally within:\n \n, • Retail banking\n, • Commercial banking\n, • Asset securitisation\n, • Credit management\n \n, • Expertise developing and deploying credit risk models, including:\n \n, • Probability of Default (PD) models\n, • Scorecards\n, • Risk segmentation models\n \n, • Experience evaluating and implementing challenger models such as XGBoost while balancing explainability and regulatory requirements.\n, • Strong understanding of model performance metrics including AUC, Gini, KS, calibration, and business impact measurement.\n, • Experience deploying production-ready models with monitoring, retraining triggers, and controls against issues such as target leakage.\n\n Governance & Regulatory Knowledge \n\n • Experience operating within model risk governance frameworks, including documentation, validation, and audit requirements.\n, • Strong understanding of GDPR and automated decision-making considerations.\n, • Awareness of emerging AI regulations, including the EU AI Act and related governance requirements.\n, • Knowledge of security-by-design principles when working with sensitive financial and personal data.\n\n Why Join Us? \n\n • Opportunity to shape and build a new data products capability from the ground up.\n, • Direct exposure to senior leadership and strategic decision-making.\n, • Work on complex, high-value datasets and industry-leading predictive analytics challenges.\n, • Join a collaborative environment that values innovation, ownership, and impact.\n, • Competitive salary and benefits package with flexible hybrid working.\n\n \n \n Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. \n Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation \n We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

We work with a range of UK employers actively hiring across these roles \n About the Roles \n We're looking for experienced AI and Machine Learning Engineers at all levels—from AI Engineer and ML Engineer through to Senior, Lead, Applied Scientist and Research Engineer positions—for upcoming roles across applied machine learning, generative AI, MLOps and model productionisation. These are hands-on engineering roles where you'll build, train, ship and operate the models that drive real product behaviour and real business outcomes. \n You'll work across the full ML lifecycle—from problem framing and data preparation through to model development, evaluation, deployment, monitoring and iteration. The role suits someone who pairs solid software engineering foundations with genuine ML rigour and a healthy scepticism about what models can and can't be trusted to do. \n Key Responsibilities \n\n • Partner with product, data and engineering stakeholders to frame problems suitable for machine learning\n, • Build, train, evaluate and tune models across classical ML, deep learning and generative AI as appropriate\n, • Productionise models—APIs, batch pipelines, real-time inference, model registries\n, • Design and operate ML pipelines covering ingestion, feature engineering, training, evaluation and deployment\n, • Build robust evaluation harnesses—offline metrics, online experiments, guardrails and monitoring\n, • Apply LLMs and generative AI techniques where they're the right tool—RAG, fine-tuning, prompt engineering, agentic patterns\n, • Monitor models in production for drift, degradation, bias and safety concerns\n, • Partner with data engineering peers to build the feature and training data infrastructure ML needs\n, • (For Senior/Lead) Set ML architecture, mentor engineers and scientists, lead applied research initiatives\n\n What You'll Bring \n Technical Expertise: \n\n • Strong Python skills with the ML stack: NumPy, pandas, scikit-learn\n, • Hands-on experience with at least one deep learning framework (PyTorch, TensorFlow, JAX)\n, • Solid grounding in core ML—supervised, unsupervised, evaluation, regularisation, statistics\n, • Production ML experience—deploying, serving and monitoring models at scale\n, • LLM and generative AI tooling exposure (LangChain, LlamaIndex, vector databases such as Pinecone, Weaviate or pgvector, RAG patterns, fine-tuning workflows)\n, • MLOps platforms (MLflow, Kubeflow, Vertex AI, SageMaker, Databricks or equivalent)\n, • Cloud experience (AWS, GCP, Azure), containerisation and basic data engineering / SQL\n, • Familiarity with experimentation, A/B testing and online evaluation is a plus\n\n Engineering & Soft Skills: \n\n • Strong software engineering discipline—models are products, not notebooks\n, • Rigour in evaluation, validation and reproducibility\n, • Scepticism about model behaviour, failure modes and limits\n, • Excellent communication—able to explain a model's behaviour to engineering, product and exec audiences\n, • Comfortable with ambiguity and iterative problem framing\n, • Curiosity about the underlying domain and the user problem the model is serving\n\n Domain Flexibility: \n\n • Roles span NLP, computer vision, recommender systems, forecasting, applied generative AI, fraud, personalisation, search and decisioning\n, • Background in any of these is welcomed; appetite to learn an adjacent domain valued just as much\n\n Experience Level: \n\n • Minimum 2+ years for AI / ML Engineer, 5+ for Senior, 8+ for Lead / Principal / Applied Scientist\n, • Background in machine learning engineering, applied science, data science with engineering focus, or research engineering\n, • Examples of models, pipelines or ML systems you've taken from idea to production\n\n What We Offer \n\n • Opportunity to work on applied AI where models genuinely change product behaviour and business outcomes\n, • Exposure to modern ML platforms, generative AI tooling and production MLOps practice\n, • Roles at the level you're ready for—we're hiring across the IC ML spectrum\n, • A collaborative environment where engineering rigour and modelling depth are both valued\n, • Clear scope to develop specialist depth (LLMs, vision, MLOps, applied research) or stay broad across ML problems\n, • Flexible working arrangements (on-site, hybrid or remote) and supportive team culture\n\n Job Type: Full-time \n Benefits: \n\n • Flexitime\n, • Work from home\n

Are you looking to benefit from a new career in Web Development? \n Skills shortages in the IT sector is driving the need for qualified, entry-level career seekers and career changers. \n We help place graduates from this programme in top UK companies and organisations needing to employ entry-level software development staff that can hit the ground running with up-to-date skills gained from this programme. \n The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge, and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. \n Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in four simple steps. \n Step 1 - HTML and CSS Online Training \n The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. \n\n • HTML Essentials\n, • CSS Essentials\n, • Tailwind\n\n The training is delivered via multimedia rich video tutorials, presentations, and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. \n Once the HTML & CSS courses are complete, you will be ready to move forward. \n Step 2 - Online Training \n The second step includes a selection of more advanced courses to get you up to speed. \n\n • React-js\n, • JavaScript\n\n JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. \n Step 3 - Build a Portfolio Website Project \n Additional Courses \n\n • AWS Certified Cloud Practitioner\n, • Microsoft Certified: Azure Administrator Associate\n\n Step 4 -Entry Level Development placement (£25K - £40k) \n We work with you to secure your first role in software development, website administration or programming, with a starting salary of anywhere between £25K - £40k. While working in your first role, we will release your second batch of training which is specifically designed to increase your development knowledge to help you develop your career further to become a software developer. \n We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. \n In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. \n Job Guarantee \n Due to the success of this programme and the skills shortage of entry-level development staff, we can guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. \n Enthusiastic about starting a career in coding? Apply now and one of our friendly advisors will be in touch. \n Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Your Company: NET Recruit are delighted to be partnering with an innovative and rapidly growing credit, analytics and technology organisation who are seeking a talented Decision Scientist to join their team in a full-time, permanent capacity based in the Waterloo area of London, with hybrid working available. This organisation has established itself as a leader within the consumer finance and technology sector, combining advanced analytics, machine learning and cutting-edge technology to drive intelligent decision-making and responsible lending. Operating within a collaborative, high-growth environment, they are committed to harnessing the power of data to deliver innovative solutions that improve both commercial performance and customer outcomes. The successful candidate will join an ambitious team of engineers, analysts and commercial professionals, playing a key role in developing predictive models, delivering actionable business insight and supporting strategic decision-making across the organisation. This is an excellent opportunity to join a business where innovation is encouraged, bureaucracy is minimal and your work will have a direct impact on business success.Your Roles and Responsibilities:While in this position your duties may include but will not be limited to:\n\n • Developing and maintaining robust data solutions to support predictive modelling and advanced analytical projects\n, • Designing, building and deploying machine learning models to support credit risk management and wider business optimisation initiatives\n, • Deploying predictive models into production environments, collaborating closely with software engineering teams to deliver scalable technical solutions\n, • Monitoring model performance to ensure ongoing technical accuracy and commercial effectiveness\n, • Analysing model outputs and business performance data to generate meaningful insights and drive continuous improvement\n, • Conducting research and development projects to evaluate emerging technologies, data sources and modelling techniques\n, • Working with large, structured and unstructured datasets to identify trends, risks and commercial opportunities\n, • Collaborating with cross-functional stakeholders across technology, operations, legal, compliance, marketing and commercial functions\n, • Supporting strategic business initiatives through data-driven recommendations and analytical expertise\n, • Contributing towards the continuous evolution of the organisation's analytics capabilities and decision science function\nWhat You Will Need to Apply: The ideal candidate for this role will possess previous experience working as a Decision Scientist, Data Scientist or within a similar analytical position, ideally within financial services or another consumer-focused industry. Applicants should hold a strong academic background within a STEM or quantitative discipline and demonstrate excellent technical capabilities, including proficiency in Python, SQL and Git. Practical experience deploying machine learning models within cloud-based environments, particularly using AWS SageMaker, will be highly advantageous. Candidates should possess a solid understanding of statistical modelling techniques and demonstrate a genuine enthusiasm for machine learning, predictive analytics and emerging technologies. Experience working with large, complex datasets and transforming data into meaningful commercial insight will be essential. Exposure to consumer lending, credit risk modelling, Credit Reference Agency data or Open Banking data would be beneficial, although not essential. Experience using DBT or similar modern data transformation tools would also be viewed favourably. The successful individual will be commercially aware, analytical and highly inquisitive, with excellent communication skills and the ability to explain complex technical concepts to stakeholders at all levels. They will be proactive, collaborative and motivated by working within a fast-paced, high-growth environment where innovation and continuous improvement are highly valued.What You Will Get in Return: For the successful candidate, a salary of up to £90,000 and comprehensive benefits package will be offered, reflective of experience and expertise. This includes a generous pension scheme with employer contributions, discretionary annual bonus, private medical insurance, dental cover, life assurance, income protection, cycle-to-work scheme, employee wellbeing support and generous annual leave entitlement increasing with length of service. This role presents an exceptional opportunity to join a fast-growing technology business at an exciting stage of its evolution, offering regular exposure to senior leadership, genuine influence over company strategy and the chance to work alongside some of the industry's leading engineers, analysts and commercial professionals. The successful candidate will enjoy a collaborative, meritocratic and innovative culture where ideas are encouraged, decisions are made quickly and career development opportunities are significant.If this opportunity interests you, then please do not hesitate to reach out to:Phoebe Jones - Recruitment PartnerM: E:

Data Scientist (Assistant Manager/Manager) \n London (Hybrid) £50,000 - £80,000 (DOE) + bonus + benefits \n The Role \n This is an opportunity to join a growing Simulation & Insights team working at the intersection of data science, AI and decision modelling. \n You'll be delivering solutions that help organisations make complex, high-value decisions, from optimising operations to shaping long-term strategy. \n It's a hands-on role with a strong consulting edge. You'll be building models one day and working directly with stakeholders the next, explaining what the outputs actually mean for the business. \n The role is offered at Assistant Manager or Manager level, depending on experience. At Manager level, you'll take on additional ownership of projects, stakeholders and team members. \n What You'll Do \n\n • Build and deploy data science, machine learning and simulation models to solve complex business problems\n, • Apply advanced techniques including optimisation, forecasting, statistical modelling and AI\n, • Develop LLM-based solutions, including:\n \n, • Retrieval-Augmented Generation (RAG)\n, • Fine-tuning and prompt engineering\n, • Agent-based workflows\n \n, • Work with large and complex datasets, both structured and unstructured\n, • Write clean, scalable Python code for model development and production use\n, • Use tools such as Databricks, MLflow and modern AI platforms to manage the full model lifecycle\n, • Translate technical outputs into clear, commercially relevant insights\n, • Engage directly with stakeholders to define problems and shape solutions\n, • Collaborate with multidisciplinary teams across data, engineering and strategy\n\n At Manager level, you will also: \n\n • Lead projects or workstreams end-to-end\n, • Manage and mentor junior team members\n, • Own stakeholder relationships and present to senior audiences\n, • Contribute to business development and proposition building\n\n What You'll Bring \n Core Skills \n\n • Strong academic background in a STEM discipline\n, • Proven experience delivering data science, machine learning or AI solutions in a commercial environment\n, • Strong programming capability in Python (Pandas, NumPy, SciPy or similar)\n, • Solid grounding in statistics, probability and data analysis\n\n AI & LLM Experience \n\n • Hands-on experience with large language models, including:\n \n, • RAG pipelines\n, • Fine-tuning approaches\n, • Agent-based architectures\n \n, • A practical understanding of how to apply LLMs to real-world use cases\n\n Tools & Engineering \n\n • Experience with model deployment and MLOps tools (e.g. Databricks, MLflow)\n, • Familiarity with version control (Git) and collaborative development practices\n, • Awareness of best practices in code quality and reproducibility\n\n Communication & Consulting \n\n • Ability to explain complex technical concepts to non-technical stakeholders\n, • Experience working in client-facing or cross-functional teams\n, • Strong problem-solving skills and the ability to manage ambiguity\n\n Why You Should Apply \n\n • Work on high-impact projects that directly influence business decisions\n, • Exposure to cutting-edge AI and LLM use cases\n, • Variety of work across multiple industries and problem types\n, • Clear progression from Assistant Manager to Manager and beyond\n, • Strong focus on learning, development and career progression\n, • Hybrid working model with flexibility built in\n, • Collaborative team environment with high-performing peers\n\n Ready to Apply \n Contact Lewis Allen to find out more. \n Please apply with a CV and a cover letter outlining why you're perfect for the role. Know someone great for the job? We offer a referral get in touch! \n Note: We do our best to respond to every application, but due to volume, we can't always guarantee it. If you haven't heard back within 7 days, unfortunately, you haven't been successful this time. Keep an eye on our site for new opportunities! \n \n \n \n \n

Pega CDH Consultants Inside IR35 Remote in UK Initial 6 month engagement emagine is a high-end professional services consultancy and solutions firm specialising in providing business and technology services to the financial services sector. We power progress, solve challenges, and deliver real results through tailored high-end consulting services and solutions. We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication to delivering the optimal service for our clients. Our commitment is not just towards our clients — we aim to foster a positive and equitable working environment with our consultants and colleagues, which stems from our core values: Confident, Dedicated, Responsible, Genuine. We are building a best-in-class Next Best Action (NBA) decisioning capability and are hiring experienced professionals to design, scale, and optimise decisioning frameworks across multiple markets. This is an opportunity to work at the intersection of data, AI, and customer engagement, delivering personalised, real-time experiences in a regulated environment. We are hiring for: Lead Decisioning Expert Own and govern the NBA decisioning framework across markets. Key Skills: Pega LDA (mandatory) Deep Pega CDH expertise (NBA Designer, decision strategies) Decision frameworks (eligibility, arbitration, prioritisation) Omni-channel decisioning (real-time & outbound) Decision governance, explainability, regulatory awareness Strong stakeholder management & Agile delivery Lead NBA Data Scientist Design and optimise ML models driving NBA decisioning. Key Skills: Pega CDH adaptive models Strong MLB / RTIM / arbitration logic knowledge Advanced Python & ML development A/B testing, uplift measurement, model governance Feature engineering & real-time vs batch decisioning Git, Agile, cross-functional collaboration NBA Decisioning Specialist Deliver decisioning use cases and personalisation strategies. Key Skills: Pega PCDC (mandatory) Pega CDH / NBA Designer experience Decision logic configuration (eligibility, prioritisation, suppression) Testing, simulation & performance optimisation Strong business-facing communication Nice to have: Adobe AEP, Financial Services, multi-market experience Data Integration & System Engineers Build scalable data pipelines supporting decisioning systems. Key Skills: GCP (BigQuery) & Hadoop/Cloudera (mandatory) Spark, Scala, Python, SQL Data pipelines (batch & near real-time) Data modelling, governance & CI/CD Pega CDH integration experience QA / Test Specialists Ensure quality and performance across data and decision platforms. Key Skills: Hadoop & GCP (mandatory) Test automation (Pytest, Robot Framework) Python, SQL, Bash CI/CD, Docker, Jenkins ISTQB certified Our People The ideal consultants will share our values and be aligned with our ways of working. As your career progresses, you can expect to work across all areas of the project lifecycle, from strategy to implementation. This will provide you with a broad base of experience from which to build an outstanding career. The ideal consultants will share our values and be aligned with our ways of working and as your career progresses, you can expect to work across all areas of the project lifecycle. We pride ourselves on; Providing our people with a supportive culture, rooted in our values and driven by our purpose. Promoting a culture of inclusion, collaboration, well-being, and learning and development. Providing increased agility and flexibility within our hybrid working model Investing in employees’ growth through ongoing training and development Autonomy to take ownership of projects, making decisions and demonstrating individual expertise Providing an transparent performance and career management experience. Our consultants are integral to delivering successful consulting engagements, addressing our clients’ most pressing business challenges, and build lasting value in disciplines such as: Solve sophisticated, ambiguous business, change and technology problems, bringing structure and meticulous analysis and planning, acting, and taking decisions with little strategic direction Build, develop and sustain trusted senior client relationships in the C-suite by remaining highly attuned to client needs Drive, enable and support the business, partnering with our leaders, clients, and consultants across our practices to take the best of emagine to our clients through opportunity identification/qualification, solution development/presentation Interested? At emagine, we are committed to building an international and diverse team by embracing our different backgrounds. If you are up to the challenge and would like to find out more, get in touch with us immediately, our internal recruitment team is always keen to hear from dynamic individuals that are looking to further their career and explore their full potential. “emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin

Coach – Applied AI Engineering (Level 6) | Machine Learning Remote | National travel required Corndel is a multi award‑winning UK training provider delivering high‑quality management and technology programmes with leading organisations. We’re growing fast and are passionate about transformational learning that empowers people to be their professional best. The Role We’re looking for an Applied AI Engineering Coach (Level 6) to support apprentices on our AI Engineer / Machine Learning apprenticeship programme. This role suits an experienced AI Engineer, Machine Learning Engineer, or Data Scientist who enjoys coaching others and enabling the responsible application of AI in real business environments. You’ll combine strong technical expertise with a coaching mindset—helping learners apply AI confidently, ethically, and effectively at work. What You’ll Do Coach and mentor a caseload of Level 6 AI Engineering apprentices Deliver engaging 1:1 coaching, workshops, and group learning Support learners across the full machine learning lifecycle, from problem scoping to deployment and monitoring Guide learners through End Point Assessment (EPA) and portfolio development Promote responsible AI, ethics, security, and governance Collaborate with employers and internal teams to ensure high‑quality learner outcomes What You’ll Bring Applied experience in machine learning, AI engineering, or data science Hands‑on experience with production ML systems Strong Python skills and experience with tools such as: scikit‑learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face / generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring, and developing others Why Join Corndel? Remote, flexible, and supportive working environment Opportunity to shape AI and ML capability across the UK Inclusive, values‑driven culture focused on quality and impact Apply now if you want to use your AI and machine learning expertise to make a meaningful impact through education. As part of our commitment to create an inclusive workplace where all colleagues can be their true selves, excel in their roles and progress in their careers, we recognise the importance of embracing the diversity in the working population and making Corndel a fully accessible employer. As Corndel is a Disability Confident Employer, we make sure that a fair and proportionate number of disabled applicants who meet the minimum criteria for a job will be offered an interview. If you would like to be considered under this scheme, when submitting your application, please select the appropriate option to let us know that you have a disability. Please note this does not mean that all disabled people are entitled to an interview, in some recruitment situations such as peak times, we might need to limit the overall numbers of interviews we offer. If you have a disability that might affect any stage of the recruitment process, please let us know about any help or reasonable adjustments you need before any interview or assessment. We’ll work with you to make sure any appropriate support is in place and make the application process a more positive experience. Corndel is committed to safeguarding and safer recruitment practices, and will undertake pre-employment checks on the successful candidate, including DBS Disclosure. For more information contact _