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Data Science, Statistics, Mathematics, Computer Science, or related quantitative field.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. \n At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. \n As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. \n Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. \n The Role \n Our vision for Veeva OpenData is to become the global leader in reference data for the life sciences industry. The world's top pharma and biotech companies use our data as the foundational layer for their commercial and medical operations \n This means the data products you build will directly accelerate getting life-saving treatments to patients. As a Public Benefit Corporation (PBC), we balance purpose with profit, operating with a culture of extreme autonomy, speed, and ownership. \n We are looking for an entrepreneurial data professional to step into the Data Product Manager role in the OpenData Europe team. The role is fully remote in the UK, Germany, or Spain. Travel expected: 10%. \n If you have a strong technical foundation in data analytics or engineering and are tired of just pulling data to fulfill tickets, this is your chance to own the roadmap. You won't just oversee data pipelines; you will lead product strategy, identify new market opportunities, and lead cross-functional execution from end to end. \n What You'll Do \n\n • Own the Product Plan: Serve as the end-to-end owner for the designated product, actively scaling its customer footprint and driving product strategy.\n, • Architect the Data Strategy: Make the critical, high-level product decisions governing how we source, transform, update, and analyze country datasets to maximize customer value.\n, • Innovate & Execute: Translate market needs into a strategic roadmap for dedicated squads of data engineers, analysts, and product operations. You will actively identify opportunities to leverage AI and automation to build data pipelines that scale with quality.\n, • Drive Customer Success: Partner directly with strategy, sales, and services teams to gather customer feedback, iterate rapidly, and ensure the product is continuously improving.\n, • Champion Data Excellence: Set and enforce rigorous KPIs for data coverage, completeness, and accuracy, maximizing data quality.\n, • Navigate Complex Markets: Stay ahead of healthcare regulations, compliance requirements, and market shifts, adapting the product roadmap to turn market complexity into a competitive advantage.\n\n Requirements \n\n • Speed & Quality Focus: A detail-oriented professional who executes with speed and quality.\n, • Experience: 2+ years of experience in data analytics or product management, with a proven track record of extracting value from complex datasets.\n, • Ruthless Prioritization: Strong product intuition with the ability to manage a backlog, balancing long-term product scope, strict data quality standards, and customer feedback.\n, • Technical Fluency: Proficient in SQL. You don't just rely on dashboards; you can query the database directly to investigate issues, validate data quality, and prototype solutions.\n, • Educational Foundation: Bachelor's degree in Computer Science, Information Management, Mathematics, Statistics, Physics, or a related quantitative field.\n, • Communication: Fluent in English (C1 or higher), enabling you to effectively manage global stakeholders and translate complex technical concepts into business strategy.\n\n Nice to Have \n\n • Life Sciences Expertise: Experience building data products specifically for the life sciences industry, spanning data sources, data modeling, sourcing, analysis, and delivery.\n, • Business proficiency (B2 or higher) in an additional language (e.g., French, German, Polish, Arabic), with an emphasis on complex languages and non-latin alphabets.\n\n Interviewing with Veeva \n We value your time and believe in a transparent hiring process. Here is the process you can expect. \n\n • Follow the application process and submit your resume.\n, • Within 3 days, you will receive a link to a personality assessment administered by a third party.\n, • Once you complete the assessment, our team will review your full application package and follow up via email with our decision.\n, • If moving to the interview stage, the process is as follows:\n \n, • A conversation with the hiring manager\n, • A practical case exercise\n, • A final conversation with our group's Senior Leader.\n \n, • Once all interviews are complete, the manager will be in touch with a final decision.\n\n #RemoteUK \n #LI-MidSenior \n Veeva's headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. \n As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams. \n If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected].

Entity: Technology Job Family Group: IT&S Group Job Description: Equal Opportunity Employer bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are essential to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know. Role Summary We are looking for a Senior Data Scientist who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production-grade ML and AI systems. This role goes beyond traditional ML engineering. You will apply machine learning science as a core field — developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable, reliable products. Whether it's advancing NLP, optimisation, simulation, or generative AI, you will deliver solutions that transition seamlessly from research to production and create measurable value. You will work as part of a cross-disciplinary team alongside data scientists, software engineers, data engineers, and domain authorities — translating complex scientific and business problems into deployable ML products. Key Responsibilities • Design, build, and maintain scalable, production-grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing, monitoring, observability)., • Apply machine learning science to develop novel algorithms and models that are deployed as reliable, scalable products — not limited to experimentation but extending through to production delivery and operational use., • Build impactful ML products demonstrating statistical modelling, deep learning, and AI techniques across operational, scientific, and R&D domains., • Translate complex scientific and business problems into well-scoped ML solutions, delivering actionable insights and deployable capabilities., • Architect and optimise ML systems for performance, scalability, and reliability in production environments., • Collaborate closely with data scientists, data engineers, software engineers, and domain authorities as part of cross-disciplinary teams., • Adhere to and advocate for engineering and data science guidelines (technical design, design reviews, unit testing, monitoring & alerting, code reviews, documentation)., • Present technical results, trade-offs, and product outcomes to peers and senior partners., • Actively supply to improving developer velocity, engineering standards, and shared tooling., • Mentor junior team members and chip in to the technical growth of the wider team. Qualifications Essential • MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related discipline)., • Hands-on experience designing, prototyping, productionizing, maintaining, and scaling ML/data science products in complex environments., • Strong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques — with a track record of applying these to build production-grade solutions., • Applied knowledge of data science and ML tools across all stages of the data and model lifecycle., • Thorough understanding of the mathematical foundations of statistics, machine learning, and scientific computing., • Strong programming experience in one or more object-oriented languages (e.g. Python, Go, Java, C++)., • Advanced SQL knowledge., • Experience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring., • Knowledge of experimental design, analysis, and scientific methodology., • Customer-centric and pragmatic mentality with a focus on value delivery and swift execution, while maintaining rigour and attention to detail., • Strong partner management and ability to influence across teams and organisations., • Continuous learning and improvement mentality. Desired • Experience with big data technologies (e.g. Hadoop, Hive, Spark)., • Experience with generative AI, LLMs, or retrieval-augmented generation (RAG)., • Exposure to Agentic AI concepts, including autonomous agents, tool use, and orchestration frameworks., • Experience applying machine learning and AI to scientific or R&D workflows — with emphasis on building deployable ML products from scientific research (e.g. simulation, optimisation, physics-informed models)., • Familiarity with model interpretability, uncertainty quantification, and advanced experimental methodologies., • Consistent track record of publications, invention disclosures (IDFs), or patents in machine learning or AI., • No prior experience in the energy industry required. What We Offer • Competitive compensation and benefits package., • Opportunity to work on innovative ML and AI problems at global scale., • A culture that values scientific rigour, engineering excellence, and continuous learning., • Hybrid working arrangements and a commitment to work-life balance., • Career development pathways in a world-class technology organisation. Please note that the business title for this role, which will be reflected in the employment contract, is Senior Machine Learning Engineer. Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Why join us? At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more} . Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time. Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Entity: Technology Job Family Group: IT&S Group Job Description: bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are crucial to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know. We are seeking an exceptional Expert Data Scientist to serve as a technical leader and architect of machine learning systems across the organisation. This is the highest individual contributor tier within the field — a role for engineers and scientists who not only build world-class ML systems but define how they are built. You will shape architectural direction, establish engineering and scientific standards, and drive the delivery of complex, high-impact ML products that span the journey from research and experimentation through to solutions. A core differentiator of this role is deep applied machine learning science: the ability to develop, validate, and deploy novel ML algorithms and scientific models as reliable, maintainable products — bridging the gap between innovative research and enterprise-scale deployment. You will influence multiple teams, mentor senior engineers, and drive step-change impact across business-critical, scientific, and R&D domains. • Provide technical leadership in the design and architecture of large-scale, production-grade ML systems and platforms across the organisation., • Own end-to-end delivery of complex ML solutions — from scientific problem framing and algorithm design through to deployment, operationalisation, and product delivery., • Apply advanced machine learning science to develop novel algorithms and models, ensuring they are rigorously validated and deployed as scalable, reliable, production-grade products., • Bridge the gap between scientific research and enterprise deployment — taking ML innovations from experimentation through to productised, maintainable solutions that deliver measurable value., • Drive engineering excellence across ML systems, including CI/CD, testing, observability, reliability, and MLOps guidelines., • Define technical standards, patterns, and protocols for ML engineering and applied ML science across teams., • Lead complex, multi-team technical initiatives and influence organisational direction through technical authority., • Evaluate and integrate emerging approaches — including generative AI, Agentic AI, advanced optimisation, and scientific computing — into scalable solutions., • Supply to and shape internal ML platforms, reusable frameworks, and shared scientific computing capabilities., • Mentor senior engineers and data scientists, raising the technical bar across the subject area., • Partner with business and scientific customers to shape ML strategy and identify high-value opportunities., • Present technical strategies, architectural decisions, and outcomes to senior leadership. Essential • MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related subject area)., • Hands-on experience designing, prototyping, productionizing, and scaling complex ML systems in production environments., • Deep and demonstrable expertise in machine learning algorithms, statistical modelling, optimisation techniques, and scientific computing — with a consistent record of applying these to deliver production-grade products., • Strong software engineering and system design expertise, including distributed systems, scalable architectures, and API design., • Advanced programming experience in languages such as Python, Go, Java, or C++., • Advanced SQL knowledge., • Strong experience with MLOps, production ML systems, model lifecycle management, and monitoring., • Experience working with large-scale data systems and distributed computing frameworks (e.g. Spark, Hadoop)., • Knowledge of experimental design, scientific methodology, and analysis., • Strong partner management and confirmed ability to influence large organisations without direct authority., • Demonstrated ability to lead through technical excellence and deliver high-impact, organisation-wide outcomes., • Continuous learning and improvement approach., • Deep experience in applied machine learning science — including developing novel algorithms and translating research into deployable, production-grade ML products., • Experience applying AI/ML to scientific, engineering, or R&D workflows — encompassing experimentation, simulation, optimisation, physics-informed modelling, and autonomous scientific workflows., • Strong experience with generative AI (LLMs, RAG, multimodal systems) and their deployment in production., • Experience designing or deploying Agentic AI systems — including autonomous agents, tool use, multi-agent orchestration, reasoning workflows, and agent-driven scientific discovery., • Consistent record of innovation through publications in peer-reviewed venues, invention disclosures (IDFs), patents, or open-source contributions in machine learning or AI., • Experience building ML platforms, reusable scientific computing frameworks, or internal tooling that accelerates delivery across teams., • Familiarity with model interpretability, uncertainty quantification, and advanced experimental frameworks., • No prior experience in the energy industry required., • Competitive compensation and benefits package., • Opportunity to lead and shape the future of ML and AI at one of the world's largest energy companies., • A culture that values scientific difficulty, engineering excellence, and continuous learning., • Hybrid working arrangements and a commitment to work-life balance., • Career development pathways in a world-class technology organisation. Please remember that the business title for this role, which will be reflected in the employment contract, is Staff Machine Learning Engineer. Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development {+ 7 more} . Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time. Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Description ✨ A glimpse into the role: Senior PM role in an evolving AI product environment, with around 40% of the role focused on delivery, execution and operational coordination today. You’ll work side-by-side with engineers, navigate ambiguity, and drive delivery as much as direction - turning ideas into shipped products in a fast-moving, build-first environment. --- At Spotted Zebra, we're building something we genuinely believe in: an AI-native end-to-end hiring platform that helps the world's leading organisations find the right people, faster and fairer than ever before. In short, we're making hiring something everyone loves again - both talent teams and candidates alike. We're a multi-award-winning Series A company giving talent leaders the solution they've always needed. Skills science native. AI-amplified. Built by people who've lived and breathed TA and knew there had to be a better way. Spotted Zebra brings Interview Intelligence , Skills Assessment s, and AI Interview Agent together in one powerful platform, designed for intelligence and action. One powerful agent and assistant: Spot. Working the way talent teams need it to, always with humans in control. The result is talent teams get the insight to predict who will succeed, the speed to move before competitors, the governance to defend every hiring decision, and the capacity to focus on the human moments that matter most. But our product is only part of the story. Spotted Zebra isn’t just building an AI-native product; we’re building an AI-native company. AI is changing how we build, sell, support customers and make decisions. We use it to move faster, stay closer to customers, reduce unnecessary processes, and give talented people more leverage in their roles. That means joining Spotted Zebra isn’t just a chance to work on the future of hiring. It’s a chance to help shape what the future of work looks like inside a scaling company: compact, ambitious teams using AI to collaborate better, make decisions quickly, and deliver meaningful impact at speed. The FTSE100 and Fortune500 companies trusting us include British Airways, NIQ, Domino's, Lidl, Merlin Entertainments, AWE, United Utilities, and Paramount. We've been named Personnel Today's Talent Acquisition Supplier of the Year 2025 , secured gold across multiple industry awards, and were recently named on the UK Top 100 Startups List . But what we’re most proud of is the team. People join Spotted Zebra because the mission is real, the product is genuinely exciting, and the opportunity to shape the future of hiring is huge. What makes it special is the way we work: smart, committed people in compact teams where trust is high, decisions happen quickly, and everyone has the chance to make a visible impact. If that sounds like the kind of place you want to do your best work - read on. Fun fact: A group of zebras is called a dazzle – and ours truly is dazzling! We create a culture in which our team thrives and gallops ahead. As we roam free and empower our dazzle, we gallop ahead on the journey to achieving our goals. We understand this journey will pose challenges along the way, yet we brighten the trail with our positive mindset and encouragement of others. The dazzle continuously moves, gaining knowledge and skills so that we can graze new grounds. You’ll take ownership of our next-generation AI recruitment product, crafted to solve one of the biggest recruitment challenges whilst ensuring every candidate has a fair and positive experience. Working closely with our AI/ML and Occupational Psychologist teams, you’ll shape how hiring teams understand talent and make their most important decisions. Key responsibilities: • Own a key product area, working closely with the Head of Product to balance strategic direction with effective day-to-day execution, • Develop a strong understanding of user needs through a combination of qualitative research, stakeholder collaboration, and data analysis, • Drive product delivery from discovery through to launch, ensuring initiatives move forward efficiently and blockers are proactively resolved, • Work closely with Engineering and Commercial to translate user, business, and operational needs into clear, deliverable requirements, • Own and prioritise the product backlog, balancing new functionality, experience improvements, technical constraints, and platform enhancements, • Collaborate proactively across Product, Engineering, Design, Data Science, Operations, and commercial teams to align priorities and drive delivery, • Make pragmatic product decisions quickly, balancing user value, technical feasibility, business priorities, and delivery pace, • Stay close to implementation details and support teams throughout the delivery lifecycle, not just at the planning stage, • Identify clear success metrics and use data to evaluate product performance and inform prioritisation, • Contribute to product direction and continuous improvement within a complex and evolving SaaS environment, • Leverage AI to accelerate discovery and delivery, enabling your team to work efficiently and deliver impact quickly, • Ensure teams have clear objectives, visibility of priorities, and alignment on how work contributes to broader company goals Requirements • Proven experience managing complex web-based SaaS products in fast-paced startup or scale-up environments, • Excellent prioritisation skills, balancing user needs, commercial priorities, technical feasibility, and delivery constraints, • Strong execution and delivery skills, with experience shipping impactful products at pace, • Comfortable operating hands-on within delivery-focused product roles, not solely strategic product leadership positions, • Strong technical fluency and confidence working closely with engineering teams; an engineering background or product-engineering mindset is highly valued, • Ability to gather, refine, and communicate clear product requirements across technical and non-technical stakeholders, • Comfortable working within ambiguity, evolving priorities, and complex or legacy product environments, • Strong product judgement and critical thinking skills, with confidence to challenge assumptions and make pragmatic decisions, • Experience collaborating closely with engineers and designers in lean, cross-functional teams, • Proactive and highly collaborative, with strong stakeholder management and communication skills, • Strong analytical skills, using quantitative and qualitative insights to inform decisions and prioritisation, • Comfortable creating wireframes, user flows, and lightweight UX concepts where needed, • Experience leveraging AI tools and workflows to improve product discovery, delivery, or team efficiency, • Understanding of AI fundamentals and responsible AI product development principles, • Adaptable, curious, and comfortable moving between strategic thinking and detailed execution work, • Experience working with agile product development methodologies in remote or distributed teams, • Experience working within HR Tech or adjacent SaaS domains, • Familiarity with ATS platforms, recruitment technology, or people operations tooling, • Experience using AI-assisted product development or prototyping tools such as Claude, Lovable, Cursor, or similar, • Previous experience working within complex or legacy product ecosystems Benefits Meaningful share options Health insurance Enhanced pension Nursery salary sacrifice scheme ️ 25 days holiday Remote-first Work from home budget L&D budget Dental cover Eyes care support Co-working space Wellbeing allowance ✈️ Travel insurance Electric car scheme At Spotted Zebra, we welcome people of all stripes. We are committed to providing equal opportunities and an inclusive and diverse culture. We believe that each and every one of us possesses an extraordinary set of skills and abilities, waiting to be discovered, nurtured, and harnessed for the benefit of all. We are a team. And no matter your race, gender, sexual orientation, religion, civil or family status, age, or disability, we will empower you to unleash your superpower to help us create a world where everyone is able to utilise their unique blend of skills and abilities to contribute to the greater good. Everyone is unique and we encourage you to let us know in your application, or share with your recruiter directly, if there is anything we can do to make your interview experience with us more comfortable and positive. At Spotted Zebra, everyone is welcome. So even if you don't meet all the requirements, we would still love to hear from you. We are always keen to speak with people who are passionate about our mission. Ready to gallop ahead with us? We're a team that moves fast, thinks big, and isn't afraid to challenge how things have always been done. If you're excited about using AI and skills science to transform how the world hires, apply now and a member of our dazzle will be in touch!

About Wintermute Wintermute is one of the largest crypto-native algorithmic trading companies in digital assets. We provide liquidity algorithmically across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as support high profile blockchain projects and traditional financial institutions moving into crypto. Wintermute also has a Wintermute Ventures arm that invests in early stage DeFi projects. Wintermute was founded in 2017 by industry leaders and has successfully navigated crypto industry cycles. Culturally, we combine the best of the two worlds: the technology standards of high-frequency trading firms in traditional markets and the innovative and entrepreneurial culture of technology startups. To Wintermute digital assets is not just another asset class, we believe in the innovative potential of blockchain, the fundamental innovations, we have a long-term view on the digital asset market and are taking a leadership position in building an innovative and compliant market. Read more _ Working at Wintermute We are looking for a C++ Quant Developer who is passionate about technology, interested in both low level details of how computer hardware operates and high-level design of large systems, as well as in data infrastructure. Someone who likes opening the hood to see how things work, has understanding of data structures, experience writing client-server network applications, and writing and optimising code for high performance. We welcome your previous experience from your own personal projects as well as commercial experience. PhD in maths is not uncommon for our Quant Developers, and at least a graduate level of maths skills is required. Interest in algorithmic and quantitative trading is a plus. At Wintermute you will have an opportunity to grow and make direct impact on trading by developing and improving all the parts of the trading platform, data infrastructure and related software, while also getting advice and guidance from very experienced developers and traders, including the founders. You will get a lot of independence and responsibility right away, and you'll learn at an unprecedented speed! No legacy systems, no multiple levels of approvals, no bureaucracy; all developers report directly to CTO who is very hands on. It is up to you to make an impact! You will work alongside exceptionally sharp colleagues, learn how to write fail-safe code and improve performance and scalability of the trading system, a real challenge and a rare opportunity! We have flexible working arrangements, it’s the productivity that matters. At least several days a week in the office with our own gym, unlimited food and drinks are required. What will you work on A great advantage of this position is that it is varied, and it is also up to you to shape it in the direction that matches your talents and company needs. The focus of the role would be to create data infrastructure to bring the analytics to the next level and support the scaling of quantitative trading. Projects may also include upgrading major trading system components, designing a completely new application from scratch, working on implementation of pricing models. We will share more technical details in the interviews. You will have opportunity to improve your knowledge of software optimisations, of building robust large-scale systems and to understand crypto currency trading. \n Hard Skills requirements • At least 2 years’ experience with C++ - we will test, • Understanding networking and implementing client-server connections - we will test, • Experience with looking under the hood to see how C++ standard libraries work - we will test, • Strong analytical skills - we will test Join our dynamic team and benefit from: • Working at one of the most innovative trading firms globally., • Engaging projects offering accelerated responsibilities and ownership compared to traditional finance environments., • A vibrant working culture with frequent team meals, holiday celebrations, gaming events, and company-wide outings, including our annual Wintermute weekend getaway., • A Wintermute-inspired office in central London, featuring an array of amenities such as table tennis and foosball, personalized desk configurations, a cozy team breakout area with games and free food., • Great company culture: informal, non-hierarchical, ambitious, highly professional with a startup vibe, collaborative and entrepreneurial., • A performance-based compensation with a significant earning potential alongside standard perks like pension and private Health insurance. Note: • Although we are unable to accept fully remote candidates, we support significant flexibility in regards to working from home and working hours., • We offer UK work permits and help with relocation Find out more: • _, • _, • _, • _, • _ \n

ICIS is seeking a data analytics professional to turn customer, product and operational data into actionable insight that drives customer understanding, product decisions and business performance. You will work with researchers and cross-functional teams to combine quantitative and qualitative evidence, enabling a connected view of customer needs and outcomes through data science, automation and AI-ready analytics. #J-18808-Ljbffr

We are looking for a RWE Strategy Lead Developed Brands, Immunology who is collaborative, solutions-oriented, and passionate about leveraging real world data to improve the patient experience to join our HTA and Payer Team. This role can be based in Europe, either at our headquarters in Brussels, Belgium, or at one of our primary hubs in Monheim, Germany or Slough, United Kingdom. The position is also available in multiple locations across the United States. This hybrid role requires a minimum of 40% on‑site presence and 5‑10% domestic and international travel. You will lead the development and execution of global real-world evidence (RWE) strategies that support the value, safety, effectiveness, and patient impact of UCB's therapies. You will identify critical evidence needs for existing product lifecycle and translate them into further integrated RWE, epidemiology, outcomes research, and data strategies that inform regulatory, market access, reimbursement, and business decisions, while supporting and expanding our patient access reach. This strategic leadership role requires a deep understanding of evidence generation, healthcare data, and the evolving external landscape. You will drive the use of innovative study designs, registries, real-world data sources, and emerging technologies to address key evidence gaps and ensure decision-makers have the insights needed to improve outcomes for patients. Success in this role requires scientific expertise, strategic thinking, and the ability to influence complex evidence agendas while balancing diverse stakeholder needs and long‑term business priorities. Internally, you will work with colleagues across Real World Evidence, Medical Affairs, Clinical Development, Pharmacovigilance, HEOR, Market Access, Safety, Epidemiology, Patient Impact, and Data & Analytics functions to shape evidence strategies, identify evidence gaps, and generate insights that support and defend , reimbursement, and business decisions. Externally, you will work with academic researchers, healthcare data providers, registry organizations, contract research organizations (CROs), scientific experts, and industry stakeholders to advance evidence-generation initiatives, access relevant data sources, and ensure the delivery of high‑quality, decision‑grade evidence. • Develop and co lead integrated real-world evidence (RWE), epidemiology, outcomes research, and data strategies that support UCB's assets across the product lifecycle., • Identify evidence gaps and define research plans that address regulatory, market access, reimbursement, safety, and patient-centered evidence needs., • Shape evidence-generation strategies using real-world data, registries, external control arms, innovative study designs, and other fit-for-purpose methodologies., • Anticipate evolving scientific, regulatory, and business challenges and translate them into actionable evidence solutions and investments., • Oversee the execution of RWE studies and programs, ensuring delivery on time, within budget, and in accordance with quality and governance standards., • Drive alignment across complex evidence-generation activities, balancing the needs of multiple stakeholders while maximizing impact and efficiency., • Provide strategic guidance on topics including disease burden, natural history, comparative effectiveness, long-term outcomes, drug utilization, safety commitments, and health technology assessment requirements., • Leverage emerging technologies, including AI-enabled approaches, to enhance data strategy, evidence generation, and decision-making., • Mentor and develop RWE talent while contributing to the continued growth of evidence-generation capabilities across the broader organization., • Represent UCB externally through engagement with scientific experts, research partners, and industry initiatives to advance the use and impact of real-world evidence., • Master's degree, PhD, MD, or equivalent advanced degree in Epidemiology, Public Health, Health Economics & Outcomes Research (HEOR), Biostatistics, Life Sciences, or a related discipline., • 8+ years of experience within the pharmaceutical, biotechnology, healthcare, or academic sectors with demonstrated involvement in evidence generation, clinical development, market access, regulatory, and/or payer-related initiatives. Experience with Big Data and AI is an advantage, • Strong understanding of real-world evidence (RWE), epidemiology, outcomes research, and healthcare data sources., • Experience developing evidence strategies that support regulatory, reimbursement, clinical, and business decision-making., • Demonstrated ability to lead complex initiatives and influence stakeholders in a matrix environment., • Formal training in epidemiological research methods, outcomes research, health economics, or related quantitative disciplines., • Experience developing and executing integrated RWE strategies for or with pharmaceutical assets across multiple stages of the product lifecycle., • Prior leadership experience, including mentoring, coaching, and developing individuals or leading cross-functional teams., • Expertise supporting health authority, payer, HTA, or market access interactions through evidence generation., • Experience in Immunology, Dermatology, Respiratory, or other specialty therapeutic areas., • Familiarity with innovative study designs, registries, external data sources, AI-enabled technologies, and advanced evidence-generation methodologies. Are you ready to 'go beyond' to create value and make your mark for patients? UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9.000 people in all four corners of the globe, inspired by patients and driven by science. At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We 'go beyond' to create value for our patients, and always with a human focus, whether that's on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential. At UCB, we've embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless expressly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office. UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable laws. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on . Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel. #J-18808-Ljbffr

Welcome to Haleon. We’re a purpose-driven, world-class consumer company putting everyday health in the hands of millions. In just three years since our launch, we’ve grown, evolved and are now entering an exciting new chapter – one filled with bold ambitions and enormous opportunity. Our trusted portfolio of brands – including Sensodyne®, Panadol®, Advil®, Voltaren®, Theraflu®, Otrivin®, and Centrum® – lead in resilient and growing categories. What sets us apart is our unique blend of deep human understanding and trusted science. Now it’s time to fully realise the full potential of our business and our people. We do this through our Win as One strategy. It puts our purpose – to deliver better everyday health with humanity – at the heart of everything we do. It unites us, inspires us, and challenges us to be better every day, driven by our agile, performance-focused culture. • As a Knowledge Management Specialist within Haleon Global Consumer Relations (GCR), you will be responsible for creating and maintaining knowledge resources and content for consumer relations agents, including contact handling policies and consumer-facing communications. You will work closely with our Knowledge Manager to set measurable quality standards for knowledge content, drive efficiency in knowledge creation and adoption, and embed Haleon’s tone of voice in all consumer communications. You will partner with our global teams, including brand teams, medical, regulatory and legal, to support change management, solve agent and consumer pain points and drive knowledge management best practice across the company, • In addition to work on agent and consumer-facing content, the Knowledge Management Specialist will be supported to develop a deep understanding of Haleon’s consumer communication channels, and to participate in digital innovation projects including development of consumer self-service technology, machine learning and implementation of generative AI solutions to support consumer communications, • Global Consumer Relations (GCR) is an innovative, and human-centered team that proudly supports Haleon consumers with their everyday health needs. We are ambitious about exceeding consumer expectations during one-to-one conversations, striving to build deep human understanding in every interaction. Our mission is to ensure no consumer’s story is left unheard. We take accountability to deliver results, we deeply understand our consumers and we care and include. Act as knowledge SME supporting digital innovation, including development of consumer self-service technology and implementation of generative AI-assisted knowledge solutions: • Analyse consumer contact drivers, search behaviour, and knowledge gaps to identify opportunities to reduce consumer effort and eliminate avoidable contacts., • Create, edit, and maintain Help Center articles, FAQs, troubleshooting guides, and knowledge content. Manage content review and approval processes with Medical, Regulatory, Legal, Quality, and other relevant teams., • Translate complex information into clear, accurate, and consumer-friendly content. Establish and maintain content standards, style guidelines, and governance processes., • Apply best practices for content structure, metadata, discoverability, user experience, and optimization for search engines (SEO) and AI-powered experiences., • Support Haleon's AI programme by helping create, structure, and maintain knowledge assets used by AI tools. Identify opportunities to leverage AI tools for content creation, maintenance, and optimisation., • Excellent organizational skills., • Professional written and verbal communication skills – particular attention to simple use of language and absence of errors., • Strong quantitative and qualitative analytical skills paired with hands-on attitude, excellent attention to detail, and good business judgment., • Structured, methodical work methods and analytical skills, with passion for researching and solving problems., • Proficient in common device usage (including computer, smartphone, software & application usage)., • General MS Office Suite (Excel, Powerpoint, Word, Teams) experience., • Energy and enthusiasm for customer/consumer experience., • Ability to handle fast-paced environment subject to significant change: flexible and able to work on own initiative (including presenting ideas for stakeholder evaluation and buy-in)., • Excellent team player., • Comfortable in ambiguous and high-judgement situations., • Previous experience in a call center, translation or multilingual role., • Experience in copy writing or knowledge management., • An interest in driving operational effectiveness (Ideally Lean-Six Sigma)., • Ability to work under pressure. Please save a copy of the job description, as this may be helpful to refer to once the advert closes 2026-10-05 Haleon are committed to mobilising our purpose in a way that represents the diverse consumers and communities who rely on our brands every day. It guides us in creating an inclusive culture, where different backgrounds and views are valued and respected – all in support of understanding and best serving the needs of our consumers and unleashing the full potential of our people. It’s important to us that Haleon is a place where all our employees feel they truly belong. During the application process, we may ask you to share some personal information, which is entirely voluntary. This information ensures we meet certain regulatory and reporting obligations and supports the development, refinement, and execution of our inclusion and belonging programmes that are open to all Haleon employees. The personal information you provide will be kept confidential, used only for legitimate business purposes, and will never be used in making any employment decisions, including hiring decisions. If you require a reasonable adjustment or accommodation or other assistance to apply for a job at Haleon at any stage of the application process, please let your recruiter know by providing them with a description of specific adjustments you are requesting. We’ll provide all reasonable adjustments to support you throughout the recruitment process and treat all information you provide us in confidence. The Haleon recruitment team will contact you using a Haleon email account (@haleon.com). If you are not sure whether the email you received is from Haleon, please get in touch. #J-18808-Ljbffr

We are looking for a We are looking for a RWE Senior Expert – Special Patient Populations who is collaborative, solutions-oriented, and passionate about leveraging real world data to improve the patient experience to join our Global Real World Evidence Team. This role can be based in Europe, either at our headquarters in Brussels, Belgium, or at one of our primary hubs in Monheim, Germany or Slough, United Kingdom. The position is also available in multiple locations across the United States. This hybrid role requires a minimum of 40% on-site presence and 5-10% domestic and international travel. You will lead the design and execution of global real-world evidence programs that generate insights to support research and development, guide strategic business decisions, advance understanding of disease and patient outcomes, and fulfill post-market requirements. Your work will help inform decision-making for a wide range of stakeholders, including patients, healthcare professionals, regulators, policymakers, and payers. A key focus of this role is generating evidence and developing real-world data capabilities for special patient populations, including women of childbearing age, pediatric patients, and older adults, to address critical clinical, regulatory, and healthcare decision‑making needs. You will be responsible for developing and strengthening real-world data capabilities across specific disease areas, with a particular focus on women of childbearing age and other specialized patient populations, including pediatric and elderly patients. Working closely with cross‑functional partners, you will also shape and deliver the overarching real‑world evidence strategy for key development and commercial assets. Internally, you will work closely with colleagues across Clinical Development, Medical Affairs, Drug Safety and Pharmacovigilance, Regulatory Affairs, Health Economics and Outcomes Research, Market Access, Biostatistics, Data Science, Evidence Generation, and Asset Strategy teams to develop and deliver evidence strategies that support decisions across the product lifecycle. Externally, you will partner with academic researchers, healthcare providers, key opinion leaders, healthcare data partners, contract research organizations, and regulatory stakeholders to generate high-quality evidence, advance scientific understanding, and address critical clinical, regulatory, and market access questions. • Lead the design and execution of global real-world evidence studies that support research, development, regulatory, medical, market access, and business decision-making., • Develop evidence-generation strategies for special patient populations, including individuals who are pregnant, pediatric populations, older adults, and other underrepresented patient groups., • Deliver complex observational research programs using real-world data and prospective data collection, ensuring scientific rigor, operational excellence, and timely execution., • Partner with cross‑functional teams to identify evidence needs related to disease burden, treatment outcomes, safety, effectiveness, and patient care pathways across the product lifecycle., • Translate study findings into actionable insights and communicate results to internal stakeholders, external partners, scientific audiences, and regulatory bodies., • Collaborate with external experts, research partners, and healthcare data providers to advance innovative evidence-generation approaches., • Shape long‑term evidence strategies for priority assets and disease areas while identifying opportunities to leverage new data sources, advanced analytics, machine learning, and artificial intelligence., • Serve as a trusted scientific advisor, championing robust methodologies and evidence‑based decision‑making across the organization. Minimum Experience/Skills Required: • Advanced degree in Life Sciences, Epidemiology, Health Economics, Biostatistics, Data Science, Public Health, or a related field., • At least 6 years of experience designing, leading, and delivering real-world evidence studies in the pharmaceutical, biotechnology, consulting, or academic sectors., • Demonstrated experience using primary and secondary healthcare data to generate evidence that informs clinical, regulatory, medical, or commercial decision‑making., • Strong expertise in epidemiology, outcomes research, observational study design, and quantitative research methods., • Experience working across global or regional cross‑functional teams and managing complex research initiatives from concept through execution., • Excellent written and verbal communication skills with the ability to present complex findings to diverse audiences., • Doctoral degree in Epidemiology, Outcomes Research, Public Health, Statistics, or a related scientific discipline., • Experience supporting evidence‑generation strategies across the product lifecycle, including regulatory, medical affairs, market access, and health technology assessment needs., • Experience in maternal health, pregnancy, lactation, fertility, neonatal health, pediatric populations, older adult populations, or other special patient populations., • Proven track record of developing scientific publications, abstracts, posters, presentations, and peer‑reviewed manuscripts., • Experience with innovative real‑world evidence study designs, external control arms, comparative effectiveness research, and post‑authorization safety or effectiveness studies., • Interest in applying advanced analytics, machine learning, and artificial intelligence to real‑world data and evidence‑generation activities., • Demonstrated ability to influence stakeholders and translate complex evidence into actionable business and scientific recommendations. Are you ready to ‘go beyond’ to create value and make your mark for patients? UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9.000 people in all four corners of the globe, inspired by patients and driven by science. At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We ‘go beyond’ to create value for our patients, and always with a human focus, whether that’s on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential. At UCB, we’ve embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless explicitly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office. UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self‑identify during the application process. Provision of self‑identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel. #J-18808-Ljbffr

Whether you're coming from academia, research, data science, or another quantitative background, they're looking for people who are genuinely passionate about maths, statistics, and sport. They are a growing quantitative sports trading and investment firm based in Central London. As a Quantitative A

? Associate Consultant - Real World Evidence (RWE) ? London/hybrid ? Permanent | 2+ years' experience I'm working with a rapidly growing RWEconsulting firm looking to add an Associate Consultant to its RWE team. This is a great opportunity for someone with a background in epidemiology, biostatistics or health data science who wants hands-on exposure to innovative RWE projects across the life sciences. • Designing and delivering RWE studies using EHR, claims, registries and other healthcare datasets, • Contributing to protocols, SAPs, analysis and reporting, • Working with advanced study designs, including external comparators and quantitative bias analysisProgramming in R, SQL and/or Python, • Supporting client delivery and project management, • Working alongside epidemiologists, statisticians, health economists and data scientists, • 2+ years' experience in pharma, CRO or consulting, • MSc/PhD in a relevant health, scientific or quantitative discipline, • Strong grounding in epidemiology, statistics or health data science, • Hands-on experience delivering analytical studies, • Strong communication and report-writing skills, • R expertise essential for data science/programming profiles A growing RWE practice, genuinely interesting methodological work, exposure to major healthcare/life sciences clients and plenty of scope to shape the team as it scales. • People focused culture, • Great staff retention, • Proven progression path #J-18808-Ljbffr

I'm currently supporting a global biopharmaceutical organisation in their search for an experienced Principal Scientist to join a highly collaborative quantitative sciences team. This role offers the opportunity to influence project strategy from early research through to clinical development, applying translational modelling and simulation approaches to support key drug development decisions. • Lead quantitative pharmacology and translational modelling strategies across a diverse project portfolio., • Integrate preclinical and translational data to inform decision-making and support progression into clinical development., • Develop mechanistic and PK/PD models to evaluate hypotheses, optimise study design, and support strategic development plans., • Collaborate with multidisciplinary teams across areas such as translational medicine, safety sciences, bioanalysis, and clinical development., • Provide scientific leadership on modelling and simulation activities both internally and through external partnerships., • Contribute to regulatory documentation and strategic submissions where required., • PhD in Systems Biology, Pharmacometrics, PK/PD, or a related discipline., • Strong experience applying modelling and simulation approaches within drug discovery and development., • Demonstrated ability to design and execute quantitative pharmacology strategies spanning research through early clinical development., • Experience working within complex, matrixed R&D environments., • Proficiency with modelling tools such as R, Monolix, Phoenix, or similar platforms., • Excellent communication skills, with the ability to influence stakeholders across scientific disciplines., • High-profile role with significant scientific impact., • Exposure to innovative therapeutic programmes., • Strong emphasis on collaboration, innovation, and translational science., • Opportunity to shape strategy and contribute to the advancement of novel medicines. #J-18808-Ljbffr

Patlexa was founded to dramatically increase the efficiency of common patent litigation tasks. We combine proprietary software, frontier AI models, and highly-trained human experts to provide bespoke patent litigation services. In addition to our core prior art search and invalidity charting services, we handle complex custom patent litigation requests for our clients. Our service offerings include invalidity charts, prior-art and infringement search, cover pleadings, claim construction presentations, non-infringement reports, and bespoke litigation research. Our users are litigators at major global law firms who depend on our work product being of the utmost quality. The work requires precision, judgment, attention to detail, and the ability to combine legal context with genuinely technical workflows to produce client-ready deliverables. The Technical Patent Associateis Patlexa's entry-level professional-services role, designed for exceptional STEM (Science, Technology, Engineering, and Mathematics) graduates with coding skills. Patlexa trains successful candidates to become highly-productive technical experts who deliver complex patent litigation support work for major global law firms. Our technical patent associatesuse Claude Code, GPT Codex, Python, SQL, and Patlexa's proprietary application in their day-to-day work. A core part of the role is bespoke technical research: complex custom patent litigation requests from our law-firm clients, combining legal analysis with hands-on technical investigation. Bespoke patent litigation support requests are open-ended, technically demanding, and highly varied. Typical requests involve searching global patent and technical-literature corpora for prior art relevant to specific claim limitations, analysing patent prosecution histories, investigating how products and their published software actually work (down to firmware-level analysis), reconstructing feature and publication timelines from public web archives, analysing large document sets, mapping patent portfolios against product features, and identifying potential technical witnesses through open-source research. Executing these requests well requires technical depth as well as legal precision. Successful candidates will also operate and perform quality control of Patlexa's invalidity chart workflows: ingesting and processing source materials, monitoring chart generation, verifying AI-generated citations against original sources, and preparing client-ready deliverables. The role is suited to a STEM (Science, Technology, Engineering, and Mathematics) graduate who combines excellent written English, meticulous attention to detail, coding ability, and the discipline to review complex legal and technical documents carefully. The Associate will be trained in Patlexa workflows, patent litigation materials, invalidity chart structure, citation review, agentic research methods, and the practical expectations of patent litigators. The Technical Patent Associatewill work under supervision and will not independently provide legal advice. The focus of the role is the careful execution, verification, and delivery of technically demanding legal research and work product for law-firm clients. Execute complex custom litigation research requests end-to-end under the direction of senior Patlexa consultants: prior-art investigation across global patent and technical-literature corpora, prosecution-history analysis, technical investigation of products and published software (including firmware- and source-level analysis), reconstruction of public-record timelines from web archives, large-scale document-set analysis, patent portfolio mapping, and identification of potential technical witnesses. Deliver findings as precise, fully-cited, client-ready work product. Use agentic AI tools such as Claude Code and GPT Codex, together with Python scripts and SQL queries against relational databases, to automate and scale research: bulk document analysis, patent-data extraction and ranking, structured web research, and evidence compilation. Verify all AI-generated output against primary sources before it enters client work product. Use the Patlexa application to ingest and process source materials, including asserted patents and prior-art references (patents, technical product manuals, engineering standards, etc.). Ensure that input materials are complete, correctly labelled, and ready for further processing. Operate Patlexa invalidity chart workflows from source-material ingestion through to draft chart generation. Monitor each step of the workflow, review intermediate outputs, identify gaps or anomalies, and ensure that chart generation completes successfully. Review citations in patent invalidity charts against prior art source materials. Ensure that cited text correctly matches the source, including mathematical notation, chemical or technical terminology, Greek alphabet characters, superscript and subscript formatting, paragraph numbering, and figure references. Edit documents to ensure correctness as required. Identify issues during invalidity chart generation and review, including incorrect citations, formatting errors, document-processing errors, and workflow failures. Escalate issues clearly and promptly to technical leads and / or senior Patlexa consultants, with enough detail to support investigation and resolution. Help prepare client-ready deliverables for use by attorneys, ensuring that final work product is accurate, carefully formatted, and consistent with Patlexa quality standards. Support senior team members in responding to client comments, updating work product, and maintaining delivery deadlines. Handle client materials, litigation documents, and technical disclosures with appropriate care and confidentiality. Follow internal security, data-handling, and document-management procedures at all times. • Excellent written English and the ability to review dense legal and technical text with precision., • Meticulous attention to detail and a strong instinct for identifying inconsistencies, omissions, and errors., • Ability to work carefully with complex Microsoft Word documents, including tables, headings, paragraph numbering, cross-references, superscript, subscript, Greek alphabet characters, and mathematical or technical notation., • Strong analytical ability and willingness to learn how patent litigation work product is structured., • High degree of comfort using software tools and learning new legal-technology workflows., • Practical Python experience — comfortable writing, running, and debugging scripts for data processing and automation., • Experience with SQL and relational databases — able to write queries against a structured schema., • Hands-on experience with agentic AI tools such as Claude Code or OpenAI Codex, used for software development or other agentic automation tasks., • Ability to follow detailed instructions, checklists, and review protocols consistently., • Ability to communicate issues clearly and concisely to senior colleagues and technical leads., • Professional, reliable, and comfortable working with confidential client materials., • Strong academic record in a STEM discipline (engineering, computer science, physics, mathematics, or a comparable quantitative subject)., • Experience reviewing, proofreading, cite-checking, or editing legal, technical, academic, or scientific documents., • Familiarity with patents, intellectual property, litigation, legal research, or legal document production., • Experience working with patent publications, technical specifications, scientific papers, engineering documentation, or standards documents., • Experience using Microsoft Word for complex document formatting., • Familiarity with legal technology, AI tools, document automation, or structured review workflows., • Ability to read technical material carefully, even where the underlying technology is initially unfamiliar., • Experience working to deadlines in a client-service, professional-services, legal, academic, or research environment., • Experience with web scraping or web-archive research (e.g., httpx, BeautifulSoup, the Wayback Machine)., • Experience with data-analysis tooling such as pandas, Polars, or SQL-based analytics (e.g., BigQuery)., • Familiarity with Git and modern development workflows (branches, pull requests, code review). Patlexa trains exceptional STEM candidates with coding knowledge to become highly-productive legal research experts using agentic tools. The Technical Patent Associate will receive structured training in: • Agentic research methods: using tools such as Claude Code and GPT Codex to plan, execute, and verify complex research tasks at scale., • Python and SQL as applied to litigation research: document processing, patent-data analysis, and research automation against Patlexa's databases., • The Patlexa application and invalidity chart generation workflows., • The structure and purpose of patent invalidity charts in US patent litigation., • Citation verification, source matching, and legal-technical proofreading., • Common patent-publication formats and patent document conventions., • Microsoft Word formatting for complex legal and technical documents., • Quality-control protocols for AI-assisted legal work product., • Escalation pathways for legal, technical, and workflow issues. As the Associatedevelops, the role may expand into greater responsibility for client-facing research delivery, agentic workflow design, internal quality-control systems, and supervision of future junior associates. Highly competitive graduate-entry base salary, commensurate with a technically demanding professional-services role. #J-18808-Ljbffr

Overview In this role you will lead the non-clinical PKPD strategy within the QCP function to enable quantitative translation from preclinical data to patient outcomes. You will work with cross-functional teams to shape drug candidates from discovery through clinic, applying modelling and simulation to inform decisions. You will represent PKPD interests externally and contribute to the scientific reputation of QCP and UCB. The position offers involvement in strategic collaborations and regulatory support, with a hybrid work setup in the UK. ResponsibilitiesDevelop and drive the nonclinical PKPD strategy for projectsCommunicate findings effectively and ensure implementation in projectsTranslate in vitro and in vivo nonclinical data into predicted patient efficacy and safetyInitiate multifunctional collaborations to advance drug candidatesBuild PKPD models with sufficient complexity for hypothesis testing and decision-makingRepresent QCP interests in mechanistic PKPD discussions and enhance scientific reputationProvide input for regulatory study protocols, reports and submissions Key requirementsPhD in a relevant disciplineStrong understanding of pharmacology and disease/drug mechanismsProven PKPD methods applicability in drug discovery and developmentExperience developing and executing non-clinical PKPD strategies from discovery to clinicLeadership experience in a matrix environment with diverse stakeholdersExperience with modelling and simulation tools (Phoenix, Berkeley Madonna, R, Monolix)Cross-functional collaborationEffective communicationStakeholder engagementPKPD modelling and systems pharmacologySystems modelling experienceModelling and simulation packages: Phoenix, Berkeley Madonna, R, Monolix

We have an exciting opportunity for a Public Health Lead – Gambling Harms to join us! This is a 12-month fixed-term, part time position, with hybrid working and a salary of £55,296 - £60,286 per annum (£33,177 - £36,171 per annum pro rata based on 22.2 hours per week). We have an exciting opportunity for an experienced Public Health professional to lead a high-profile Gambling Harms programme across the Royal Borough of Windsor & Maidenhead and Bracknell Forest. The post holder will be pivotal to reducing gambling related harm in the two local authority areas, adopting a co-production approach to convene stakeholders impacted by and who can help to reduce gambling harm locally. The role is initially for a 12-month period and much of this will focus on delivery of a Health Needs Assessment for RBWM and Bracknell Forest. The approach for this must include capacity and capability building throughout the process to build in solutions to reduce gambling harm from the start. The role presents an opportunity to gain experience working across two local authority areas and lead an emerging area of population health work. It will particularly appeal to people with experience and interest in co-production and capacity building approaches to public health programmes. The Royal Borough of Windsor & Maidenhead (RBWM) is set in the wider county of Berkshire, one of the most economically productive and innovative areas of the country. The borough council, a unitary authority, takes pride in its exceptional team of dedicated professionals who are passionate about providing quality services to the community. Bracknell Forest Council is recognised for its strong commitment to improving outcomes for residents through innovation, partnership working and evidence-based decision-making. Home to thriving communities, excellent green spaces and a dynamic business sector, Bracknell Forest has a strong track record of delivering ambitious public health initiatives and collaborative programmes that improve health and wellbeing. Royal Borough of Windsor & Maidenhead and Bracknell Forest Councils are committed to improving health and wellbeing through evidence-based decision making, innovation and partnership working. This jointly funded role offers the opportunity to work across two ambitious public health systems to deliver an important piece of work that will shape future approaches to preventing and reducing gambling harms. Working jointly across RBWM and Bracknell Forest, you will lead the development and delivery of a comprehensive Gambling Harms Health Needs Assessment (HNA), helping to shape future policy, commissioning and service development across both local authority areas. The role will require engagement with communities and stakeholders across both boroughs and offers a unique opportunity to develop experience working across multiple local authority and health systems. This is a hybrid role; however, the postholder will be expected to work regularly within both RBWM and Bracknell Forest to support stakeholder engagement, partnership working and community-based research / engagement activities. The post will sit within the Public Health Team in the Royal Borough of Windsor and Maidenhead and will report to the Deputy Director of Public Health at RBWM. • Experience of leading or making a significant contribution to Health Needs Assessments, Joint Strategic Needs Assessments, population health reviews or similar tasks., • Competence in capability and capacity building, working across local government, NHS and VCSE stakeholders and improve health outcomes., • Experience of collating, analysing and interpreting quantitative and qualitative information., • 32 days annual leave (pro rata for part-time employees)., • Flexible working including a hybrid working pattern for a better work-life balance., • Generous Local Government Pension Scheme including life cover (three times annual salary) and an Additional Voluntary Contribution (AVC) scheme to enhance your pension provision., • Free employee parking close to the offices., • Give As You Earn scheme., • Instant Reward Scheme to recognise and reward innovative achievement., • Employee Assistance Programme providing counselling, advice and information., • Access to discounts and deals with hundreds of retailers, including discounted gym memberships and travel deals. RBWM values a collaborative and inclusive work environment, fostering creativity and innovation in all aspects of its operations. As an equal opportunities employer, we encourage applications from all as we believe diverse talent makes us stronger. If you have a disability, are a current or former member of the armed forces or have been part of any formal care system up to the age of 25, you will be guaranteed an interview, should you meet the minimum requirements for the role. 7 October 2026 Interviews will be held in person at Maidenhead Town Hall. If you would like to discuss reasonable adjustments, or have questions about the role, please contact Lorcan Carnegie, Senior Public Health Analyst, RBWM on We reserve the right to close the advert prior to the stated end date. #J-18808-Ljbffr

We’re looking for a Research Manager to join our growing, ambitious and fun B2B team! This is a hybrid role that can be based in either our London or Manchester office. You’ll be working in a vibrant and friendly environment, delivering bespoke research projects for a range of b2b companies. We work with many leading global brands, and you’ll have the opportunity to work across sectors, project types, and methodologies (both qual and quant). We’re looking for someone with experience in B2B market research, who strives for excellence, and who can make an immediate impact on the growth of the rapidly growing B2B practice area. You’ll need to hit the ground running and be hands on getting stuck into projects. You’ll have demonstrated strong career progression to date and be eager to continue growing. Our ideal candidate would have: • Excellent client management skills, • Knowledge of wide range of qual and quant methodologies and techniques (and feel comfortable using them on a day-to-day basis), • Experience using AI and automation tools to support quantitative and qualitative analysis, desk research and questionnaire design, including the ability to properly prompt and judge the outputs of such tools, • The ability to design questionnaires, screeners and discussion guides that will help answer our client’s strategic questions, • Strong analysis skills and ability to produce high quality, well designed, and story-led outputs, • The capability to recognise interesting insights proactively and independently, • Ability to work well in a team (as well as being a strong self-starter), • High level of accuracy and attention to detailExcellent project management skills, ensuring that all projects are delivered on-time, within budget and to an exceptional standard In return we’ll provide mentoring, a clear career development path for further progression! It’s a fun but hard-working culture, and somewhere you can really make your mark and grow beyond the Manager role. Don’t meet every single requirement? At Basis we are dedicated to building a diverse and inclusive workplace, so if you’re excited about the prospect of joining us but your experience doesn’t 100% align with the job description, we encourage you to apply anyway. You may be just the right candidate we are looking for. #J-18808-Ljbffr

Our client is a leading global investment management company headquartered in London. It manages over $228 billion in assets and serves institutional investors, pension funds, wealth managers, and other sophisticated clients worldwide. The firm specializes in quantitative investing, alternative investments, systematic trading strategies, and technology-driven asset management. Data science, machine learning, and AI are core components of its investment and research processes. As part of our collaboration we will focus on two foundational capabilities required to enable safe and scalable AI adoption across the enterprise: Agentic Security and AI-Ready Data Foundations. We build the data foundations that make AI useful and safe inside regulated financial firms. The value of AI is capped by the data its agents can reach: if an agent cannot find, interpret, trace or be correctly permissioned against data, the capability is useless, or worse, unsafe. Your job is to close that gap. This is a hands-on senior role for an excellent Python engineer with strong data-engineering skills who is genuinely comfortable building with AI agents. You will design and build the catalogue, semantic, entitlement and analytical layers that turn large on-premise data estates into something agents can use. Requirements: • 5+ years building production data systems in Python, with strong engineering fundamentals (testing, code review, performance) and solid SQL., • Experience building crawlers, harvesters or connector frameworks that extract inventories, schemas, field dictionaries and lineage from databases, filesystems, message platforms and API surfaces, in addition to conventional data pipelines., • Event-driven integration with Kafka or similar, including secure producer patterns (mTLS or equivalent) and schema-managed topics., • Experience with search and document stores that back catalogue platforms (e.g. Elasticsearch, OpenSearch, MongoDB or similar)., • Working knowledge of lineage capture and modelling, with OpenLineage or similar as a reference, and readiness to work with proprietary in-house event models., • Experience applying LLMs to metadata work, such as drafting descriptions and classifications for human review, including quality evaluation of the generated output., • Readiness to work inside another team's codebase, complete components that the team has designed, and contribute through its review process., • Fluent English for written and spoken communication with client teams. Will be a plus • Time-series and tick stores (e.g. kdb+ or similar columnar time-series databases), market-data vendor schema APIs, symbology and asset-class concepts (market-data opening)., • MS SQL Server estates, reporting and BI systems, inventory extraction from application metadata tables (reporting opening)., • Columnar and lake formats (Parquet or similar), large object stores, orchestration platforms (Airflow or similar)., • Working-level knowledge of graph databases; data contracts and data quality frameworks; catalogue platforms (DataHub or similar) on the ingestion side., • Day-to-day use of AI coding agents; building data services consumed by AI agents., • Experience in financial services or other regulated on-premise environments. Responsibilities: • Build extraction, enrichment and registration paths that populate domain catalogues from live estates (databases, time-series stores, streaming platforms, filesystems, internal and vendor APIs) and connect them to the client's central catalogue through its existing mechanisms., • Extend an existing scraping capability from bare dataset and symbol inventories to full metadata: descriptions, field-level dictionaries, date ranges, asset-class and cadence tags, vendor provenance., • Load vendor schema metadata at scale, through vendor APIs, into a persistent internal knowledge base designed for step-by-step disclosure to humans and LLMs., • Seed report and dataset inventories from existing application metadata tables and ETL sources; combine them with LLM-drafted descriptions approved by stewards., • Integrate lineage into the client's lineage backend across batch, streaming and cross-system report chains, completing the client's existing registration designs., • Implement the federation contract defined by the architect: stable identities, ownership, hierarchy, links and availability state exposed by each local catalogue to the central layer., • Keep metadata current through scheduled and event-driven refresh, with explicit staleness detection and quality signals. #J-18808-Ljbffr

This is an opportunity to join a highly respected organisation at the intersection of workforce strategy, analytics, and policy. As a Data Analyst, you will play a key role in shaping evidence-based decisions that influence workforce planning, pay frameworks, and long-term organisational strategy. You'll work on complex analytical challenges whilst engaging with a broad range of senior stakeholders. The Data Analyst will: • Deliver workforce, pay, and reward analysis to support strategic decision-making., • Build and maintain complex Excel-based models to forecast workforce and financial outcomes., • Develop cost modelling for pay proposals, policy changes, and workforce initiatives., • Create scenario analysis and long-term forecasts incorporating variables such as workforce growth, attrition, and inflation., • Analyse large and complex datasets to identify trends, risks, and opportunities., • Translate business and policy questions into analytical specifications and modelling frameworks., • Produce clear reports and recommendations for non-technical audiences., • Present findings and analytical insights to senior stakeholders., • Collaborate with policy teams and external stakeholders to support evidence-based decisions., • Contribute to the ongoing development of analytical methodologies and best practices. The ideal candidate will have the following skills and experience: • Advanced Excel skills, including building complex models from scratch., • Experience using formulas, Pivot Tables, charts, VBA, and macros., • Strong analytical and quantitative problem-solving capability., • Experience modelling complex business, workforce, or financial scenarios., • The ability to work with large datasets and extract meaningful insights., • Excellent written and verbal communication skills., • Experience presenting technical information to non-technical stakeholders., • Strong stakeholder management and relationship-building skills., • A STEM degree, ideally within mathematics, statistics, economics, or a related discipline., • The ability to work independently and manage competing priorities. #J-18808-Ljbffr

Our client is looking to hire an ESG Quant Analyst to join their growing Sustainable Investment team. This is a unique opportunity for someone with a passion for sustainability and data science to help drive innovation in responsible investing. You'll play a key role in developing the firm's ESG research, analytical tools and proprietary datasets. Key Responsibilities: • Lead and support engagement with publicly listed companies across global markets, discussing ESG-related topics and monitoring progress against engagement objectives, • Research ESG risks, opportunities and controversies affecting portfolio companies, translating findings into clear and actionable investment insights, • Capture intelligence from company meetings and integrate qualitative observations into structured research and proprietary datasets, • Use Python, SQL and modern AI tools to source, clean, structure and analyse large structured and unstructured datasets, • Develop and maintain high-quality stewardship records, case studies, internal research notes and external reporting, • Partner closely with investment teams to identify themes that can strengthen investment research and ESG analysis, • Contribute to the development of scalable research processes, analytical models and AI-enabled tools that enhance stewardship and ESG decision-making, • Help identify new sources of ESG data and innovative analytical techniques that improve research quality and investment outcomes Candidate Profile: • 1-3 years of relevant work experience on the buy-side or sell-side with a genuine interest in sustainable investing, • Undergraduate degree in a quantitative discipline such as finance, economics, mathematics, statistics, computer science or a related field, • Strong programming skills, particularly in Python and SQL, with experience manipulating and analysing large datasets, • Experience using modern generative AI tools and large language models to improve research workflows and data analysis, • Excellent analytical and critical thinking skills with the ability to identify patterns, draw conclusions and communicate insights clearly, • Strong written and verbal communication skills, including confidence engaging with companies and presenting findings to both technical and non-technical audiences, • Excellent organisational skills with the ability to manage multiple priorities and work collaboratively across international teams Mason Blake is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief or age. #J-18808-Ljbffr

Paragon Alpha seeks an experienced Quantitative Developer to join a systematic equities trading team.The role sits at the intersection of machine learning, quantitative research and systematic trading, developing and deploying ML models on high-frequency market data and working closely with portfoli

Mason Blake is seeking an ESG Quant Analyst to join its Sustainable Investment team. The role focuses on developing ESG research, analytical tools, and proprietary datasets to support responsible investing. You will engage with companies, analyze ESG risks and opportunities, and translate findings into actionable insights for investment teams. Candidates should have 1-3 years of relevant experience, a quantitative undergraduate degree, strong Python and SQL skills, and familiarity with AI tools #J-18808-Ljbffr

This is a 12-month fixed-term, part time position, with hybrid working and a salary of £55,296 - £60,286 per annum (£33,177 - £36,171 per annum pro rata based on 22.2 hours per week). We have an exciting opportunity for an experienced Public Health professional to lead a high-profile Gambling Harms programme across the Royal Borough of Windsor & Maidenhead and Bracknell Forest. The post holder will be pivotal to reducing gambling related harm in the two local authority areas, adopting a co-production approach to convene stakeholders impacted by and who can help to reduce gambling harm locally. The role is initially for a 12-month period and much of this will focus on delivery of a Health Needs Assessment for RBWM and Bracknell Forest. The approach for this must include capacity and capability building throughout the process to build in solutions to reduce gambling harm from the start. The role presents an opportunity to gain experience working across two local authority areas and lead an emerging area of population health work. It will particularly appeal to people with experience and interest in co-production and capacity building approaches to public health programmes. The Royal Borough of Windsor and Maidenhead (RBWM) is set in the wider county of Berkshire, one of the most economically productive and innovative areas of the country. The borough council, a unitary authority, takes pride in its exceptional team of dedicated professionals who are passionate about providing quality services to the community. Bracknell Forest Council is recognised for its strong commitment to improving outcomes for residents through innovation, partnership working and evidence-based decision-making. Home to thriving communities, excellent green spaces and a dynamic business sector, Bracknell Forest has a strong track record of delivering ambitious public health initiatives and collaborative programmes that improve health and wellbeing. Royal Borough of Windsor & Maidenhead and Bracknell Forest Councils are committed to improving health and wellbeing through evidence-based decision making, innovation and partnership working. This jointly funded role offers the opportunity to work across two ambitious public health systems to deliver an important piece of work that will shape future approaches to preventing and reducing gambling harms. Working jointly across RBWM and Bracknell Forest, you will lead the development and delivery of a comprehensive Gambling Harms Health Needs Assessment (HNA), helping to shape future policy, commissioning and service development across both local authority areas. The role will require engagement with communities and stakeholders across both boroughs and offers a unique opportunity to develop experience working across multiple local authority and health systems. This is a hybrid role; however, the postholder will be expected to work regularly within both RBWM and Bracknell Forest to support stakeholder engagement, partnership working and community-based research / engagement activities. The post will sit within the Public Health Team in the Royal Borough of Windsor and Maidenhead and will report to the Deputy Director of Public Health at RBWM. • Experience of leading or making a significant contribution to Health Needs Assessments, Joint Strategic Needs Assessments, population health reviews or similar tasks., • Competence in capability and capacity building, working across local government, NHS and VCSE stakeholders and improve health outcomes., • Experience of collating, analysing and interpreting quantitative and qualitative information., • 32 days annual leave (pro rata for part-time employees)., • Flexible working including a hybrid working pattern for a better work-life balance., • Generous Local Government Pension Scheme including life cover (three times annual salary) and an Additional Voluntary Contribution (AVC) scheme to enhance your pension provision., • Free employee parking close to the offices., • Give As You Earn scheme., • Instant Reward Scheme to recognise and reward innovative achievement., • Employee Assistance Programme providing counselling, advice and information., • Access to discounts and deals with hundreds of retailers, including discounted gym memberships and travel deals. RBWM values a collaborative and inclusive work environment, fostering creativity and innovation in all aspects of its operations. As an equal opportunities employer, we encourage applications from all as we believe diverse talent makes us stronger. If you have a disability, are a current or former member of the armed forces or have been part of any formal care system up to the age of 25, you will be guaranteed an interview, should you meet the minimum requirements for the role. 7 October 2026 Interviews will be held in person at Maidenhead Town Hall. If you would like to discuss reasonable adjustments, or have questions about the role, please contact Lorcan Carnegie, Senior Public Health Analyst, RBWM on We reserve the right to close the advert prior to the stated end date. #J-18808-Ljbffr

RBW Consulting is seeking an experienced Principal Scientist to join a global biopharmaceutical organisation's quantitative sciences team. You will shape strategy for translational modelling from early research through to clinical development, applying modelling and simulation to inform key drug development decisions. The ideal candidate holds a PhD in Systems Biology, Pharmacometrics, PK/PD or related field, with a proven track record in drug discovery and development, strong coding skills in #J-18808-Ljbffr

We're looking for an Operations Manager to own the entire operational backbone of our fast growing, internationally scaling business. This is not a coordinator role. It's autonomous ownership of supply chain, demand planning, and global logistics for a business that's tripling year on year with zero external investment. You'll work directly with our Founder and be instrumental in building the systems and processes that enable continued growth. You'll join a tiny, close knit team where everyone knows each other well, values transparency, and actually wants to be here building the business. • Location: Chelsea, London, • Setup: Hybrid (Tuesdays and Thursdays in office). Flexible beyond that., • Reports to: Founder & CEO, Amelia Hitchcock-Merritt, • Start Date: Flexible on the right person, • Salary: Competitive and flexible on the right person, • Holiday: 28 days (excluding bank holidays) plus your birthday off, • Probation: 3 months Build and own sales forecasting models using historical sales data, growth rates, marketing calendars, and seasonality to predict stock quantities across categories. Strategically allocate inventory across UK, EU, and US warehouses to maximise availability and minimise overstock. Predict and trigger reorders for all branded packaging in line with projected growth. Use sales data and margin analysis to recommend retail and wholesale price points. Monitor sell through rates and competitor positioning to flag opportunities for price adjustments. Own the primary contact relationship with jewellery and packaging manufacturers. Use order sheets and historical data to confirm quantities, place orders, and lock in lead times. Partner with our Designer on new product launches, ensuring production timelines sync with freight schedules. Own resolution of production defects and quality failures. Manage the claimback sheet for supplier deductions. Alert our Accountant to process payment once orders are confirmed and ready to ship. Book all international shipments via our carrier and oversee collections, customs, and delivery schedules. Generate Advanced Shipping Notices (ASNs) for all warehouses and ensure shipments arrive on agreed dates. Monitor warehouse SLAs for receiving speed, dispatch accuracy, and inventory integrity. Maintain 100% inventory synchronisation between Shopify and warehouse management systems. Own relationships with Littledart, Eurobase, Drive Commerce, and other fulfillment partners, solving problems and chasing shipments. Deliver SKUs, barcodes, HS codes, weights, and pricing specs to manufacturers. Generate and manage all barcode creation on our GS1 account. Own uploading all new product information to Shopify including product descriptions, prices, SKU codes, HS codes, weights, and images. Ensure Shopify remains the single source of truth for all product data. Use your own data-backed knowledge to agree price points and negotiate margins. Own all import and export decisions, deciding which routes are most cost effective and which tariff codes apply. Ensure all HS codes are correct before production and shipping. Own all commercial invoices, import documentation, and export compliance across UK, EU, and US. Manage freight costs, tariffs, duties, and packaging spend. Constantly audit workflows to find efficiencies, cost savings, and faster routes to market. We're a small team and we're not just looking for someone to execute the operational playbook. We want someone with supply chain, forecasting, and logistics expertise who can see gaps we might not see and suggest ways to scale smarter. If you spot inefficiencies, have ideas for cost reduction, or can streamline our relationships with manufacturers and warehouses, we want to hear them. This role has real influence over how we build our operational backbone for the next phase of growth, with the future goal of Head of Operations. • 5+ years in Operations, Supply Chain, or Demand Planning, ideally in fast growing DTC e commerce (fashion, accessories, lifestyle), • Strong analytical background: Economics, maths, or quantitative degree. You think in spreadsheets and can build forecasting models, • Day to day operations execution: You've booked shipments, managed lead times, liaised with 3PLs, and owned logistics schedules, • Proficiency with Shopify and warehouse management systems: You navigate these confidently and have worked with ASNs and inventory reconciliation, • Financial literacy: You understand cash flow, inventory carrying costs, and can make spend decisions confidently, • Import/export experience: You've dealt with customs, tariffs, documentation, or international logistics., • Experience in jewellery, fashion or e-commerce., • Autonomous operator: You're comfortable working with minimal oversight. You take ownership and make decisions without needing permission, • Detail oriented and proactive: You see risks early and fix them before they become problems, • Strong communicator: You can explain complex supply chain decisions in plain English to non ops people, • Growth mindset: You're excited about scaling with a founder led business in hypergrowth, • Familiarity with ZenCargo, Mintsoft, or similar operational platforms, • Experience managing multiple manufacturer relationships across geographies, • Background in a bootstrapped or founder led company, • The business is consistently, confidently well stocked across all regions with no surprise stockouts, • Product launches run smoothly and on time because production, freight, and warehouse coordination are locked in, • Inventory data across Shopify and warehouse management systems is accurate and reliable, • Quality issues and operational risks are identified early and resolved quickly, • Amelia is no longer involved in managing day to day operational execution, freeing her to focus on product, brand, and strategy, • Import/export is seamless with customs, tariffs, and documentation handled confidently, • Founder led:Amelia is hands on and actively involved in strategy, product, and key decisions., • Our values:Work hard, play hard. We believe in life balance. You'll get a 28 days holiday plus your birthday off. We offer flexible working beyond your office days. We host regular team dinners and experiences. There's genuine room to grow: if you're good, you'll have people reporting to you and the Head of Operations perspective in the future as the company grows. #J-18808-Ljbffr

Make your mark for patients. We are looking for a Senior Real World Evidence Expert who is scientifically rigorous, strategically minded, and passionate about generating impactful real‑world evidence to help shape key decisions across the lifecycle of UCB’s assets, based in Slough, UK or Brussels, Belgium. As a Senior RWE Expert, you will autonomously design, lead, and deliver a wide range of global real‑world evidence (RWE) studies. Your work will inform internal decision‑making, support regulatory and payer interactions, and contribute to the scientific understanding of disease areas. In addition to overseeing project delivery, you will help shape asset‑level RWE strategies and propose innovative approaches to evidence generation in partnership with the RWE Strategy Lead. You will collaborate with statistical teams, RWE Analysts, epidemiologists, clinical teams, Evidence Synthesis partners (HE/HTA), Safety/Pharmacovigilance, external vendors, medical experts, and cross‑functional asset teams. You will serve as an influential scientific contributor with the ability to engage diverse stakeholders and ensure RWE outputs meet strategic, regulatory, and scientific needs. • Lead execution of complex global RWE studies using diverse methodologies and datasets end‑to‑end., • Develop study concepts, write protocols, shape analysis plans, and ensure governance and QC compliance., • Deliver epidemiology, natural‑history, burden‑of‑disease, safety‑outcome, regulatory, and comparative‑effectiveness studies., • Represent RWE on primary data‑collection teams and lead high‑visibility secondary data‑use initiatives., • Collaborate with vendors, clinicians, statisticians, and analytics teams to deliver scientifically robust outputs., • Interpret results and communicate findings internally and externally across scientific and strategic forums., • Co‑define evidence needs with HE/HTA partners, Safety, and other functions to support regulatory and payer interactions., • Contribute to asset‑level RWE strategy and propose innovative study designs, data sources, and analytic approaches., • Advocate for rigorous scientific methodology and challenge assumptions using strong methodological reasoning., • Help advance RWE functional excellence through thought leadership, innovation, and best‑practice sharing., • Master’s degree, PhD, or MD in a life science, epidemiology, outcomes research, HEOR, statistics, or related field., • Experience designing and delivering RWE studies using primary or secondary data in pharma, academia, or consultancies., • Strong quantitative and methodological expertise across epidemiology, pharmacoepidemiology, and outcomes research., • Ability to develop high‑quality scientific communications (abstracts, manuscripts, posters, presentations)., • Excellent communication skills with the ability to influence and engage cross‑functional and senior stakeholders., • Proven ability to lead projects independently, think strategically, innovate, and adapt in fast‑changing environments. Are you ready to ‘go beyond’ to create value and make your mark for patients? UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9,000 people in all four corners of the globe, inspired by patients and driven by science. At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We ‘go beyond’ to create value for our patients, and always with a human focus, whether that’s on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential. At UCB, we’ve embraced a hybrid‑first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless expressly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office. UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable laws. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on . Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel. #J-18808-Ljbffr

Our client is an multi-strategy alternative asset manager in the reinsurance and capital markets space. They are looking for an academically strong quant developer with a masters+ level in maths/physics/theoretical physics/engineering field. They have a number of people in London and Bermuda. Your manager has a PhD and would work with you on projects such as the following: • Design a computational model applying reinsurance layers to a set of simulation files, taking into account ILWs, reinstatements, and adjustments that will want to flow through the whole programme., • Given a non-uniform pattern of business being written through the year, a distribution of policy inception dates, earning profiles and settlement lags, derive the discounted cashflow curves., • Model premium receipts, collateral funding, trapped collateral, claim payments, investment income, release mechanics and timing uncertainty. Then calculate expected return and sensitivity to loss timing., • Take apart Neil Bodoff's paper on capital allocation and generalise it to apply to profit distributions. Take a view on it as compared to alternative capital allocation approaches., • Write a review of risk measures and which we should adopt in the context of capital platforms., • Review portfolio optimisation algorithms and make a proposal for the one that is most effective for various capital platforms., • Review modern infrastructure as code, within the context of Azure and suggest how they can best use it in the implementation of dev, UAT and prod environments. We are optimising for a mathematically strong candidate. Development/coding experience is great, although that can largely be AI-assisted these days. Understanding the mathematics is very important for them and that is much more difficult. Reinsurance experience is not essential and they would be open to hiring a top notch PhD although some business experience (especially quant finance/reinsurance/capital markets) would be ideal. Please note this role will NOT lead to quant trading; if that's where your real interest is, this is not for you. This is predominantly on office-based role. They are unlikely to be able to sponsor work permits. #J-18808-Ljbffr

You'll develop and optimise classical and deep learning models, improve distributed computing and large-scale parameter searches, and build efficient workflows from research through to production.

Looking to work with one of the most interesting consumer datasets in the market? This is an opportunity to join an innovative analytics business that sits at the intersection of consumer behaviour, marketing effectiveness, data science and AI. You'll have the chance to work with complex, multi-channel behavioural data and help global brands understand what truly influences customer decisions. This specialist data and insights business helps brands measure how advertising and digital experiences impact real-world consumer behaviour. They have built a unique consented consumer dataset that combines media exposure, digital activity, search behaviour, shopping journeys and emerging AI interactions to create a comprehensive view of the customer journey. Operating as a highly collaborative and entrepreneurial team, they offer significant ownership, direct exposure to senior leadership and the opportunity to influence new products and analytical methodologies. As a Data & Insights Analyst, you will work across campaign effectiveness, customer behaviour analysis and emerging AI-focused products. Key responsibilities include: • Querying and extracting data using SQL, • Analysing large-scale behavioural datasets to identify trends and commercial insights, • Measuring advertising effectiveness and campaign uplift, • Delivering post-campaign analysis and client-ready insights, • Creating clear, compelling presentations and reports for stakeholders, • Developing and testing new analytical methodologies, • Exploring consumer behaviour across digital, retail and AI touchpoints, • Working with qualitative and quantitative datasets, including LLM-generated data, • Supporting the development of innovative products focused on consumer interactions with AI platforms, • Collaborating closely with data, research and commercial stakeholders across the business, • Strong SQL skills, • Advanced Excel capabilities, • Experience analysing complex datasets and translating findings into actionable insights, • Ability to communicate analytical outputs to non-technical stakeholders, • Commercially minded with strong problem-solving skills, • Comfortable working independently and taking ownership of projects, • Experience with data visualisation tools is beneficial, • Exposure to marketing analytics, customer insights, media analytics or consumer behaviour data is advantageous, • Familiarity with LLM tools such as ChatGPT and prompt-based analysis is desirable, • Salary of £45,000 - £50,000 depending on experience, • Hybrid working model with 3 days per week in the London office, • Direct access to senior leadership and decision makers, • Opportunity to work with highly unique behavioural and AI datasets, • Significant ownership and autonomy from day one, • Exposure to innovative analytics and AI-focused product development, • Clear opportunity to influence methodologies, products and business growth within a fast-moving environment #J-18808-Ljbffr

Analyst / Risk role within commodity trading companies, ideally with a focus on gas & power. An opportunity has arisen for a Risk Analyst to join a leading global energy trading organisation based in London. Assisting in identifying significant risks within the business and ensuring they are transpa

Network Planning Project Engineer. An exciting new Network Planning Project Engineer opportunity at DX!. Based on quantitative and qualitative analysis, Network Planning sets the direction for network operations including operating footprint, assets, routing, systems, automation, planning, tracking

Our client is a leading Asset Management company based in London and is seeking seeking a data expert to join a new Risk Data Operations team responsible for ensuring that all vendor and internal portfolio risk analytics used for risk management and portfolio construction across the organisation are delivered consistently, accurately and on a timely basis. The team are the stewards of risk analytics data. They focus on quality control of all data that feeds into portfolio risk analytics, including security factor exposures and proxies, factor returns and covariance matrices, fundamentals data, security T&Cs, and portfolio holdings. In this role, you will provide data expertise to portfolio and risk managers who use portfolio risk models and engineering teams which build production processes around them. This is a lead role and will serve as a player/coach, responsible for individual deliverables and will mentor more junior members of the team, helping them gain the domain expertise necessary to root-cause daily issues effectively, work with internal and external data providers to resolve issues at source, answer investor questions, and develop automated systems for identifying data quality issues. The role requires some experience / knowledge or risk analytics data. • Proven experience with market risk models from leading vendors such as Barra, Axioma, Northfield, and Bloomberg., • Strong analytical capabilities with a demonstrated ability to comprehend large datasets and implement effective data quality controls., • Proactive and self-motivated approach, with the ability to work independently while providing oversight and mentorship to junior team members., • Understanding of financial data including security, company, portfolio, and index-level information, as well as pricing across equities, bonds, and derivatives., • Proficiency in SQL, Python, Snowflake, and/or Oracle, with hands-on experience in data quality frameworks and automation tools., • Bachelor’s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, computer science, or finance., • Experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality data solutions., • Exposure to anomaly detection methods, statistical tools, and best practices for managing data quality workflows., • Excellent communication skills, with experience collaborating across technical, investment, and senior leadership teams., • Demonstrated leadership in team environments, including mentoring junior associates and driving process improvements., • Experience working in complex data environments, with the technical and analytical infrastructure required to support them., • Ability to identify and resolve root-cause data quality issues, collaborating with internal teams and external data providers to correct issues at the source., • Skilled in developing automated processes to detect and resolve data errors, ensuring high-quality data for investment decision-making., • Experience in documenting key procedures and calculations and validating data for accuracy and completeness., • Domain expertise in investment management, with knowledge spanning risk management, portfolio management, trading, and investment operations. #J-18808-Ljbffr

Working alongside the modelling team, you will be responsible for ensuring they have access to reliable, well-structured and high-quality data for research, modelling and analysis.From building robust Python-based workflows to investigating complex data issues and assessing new data sources, the Dat

Harnham in London is seeking a Quantitative Analyst to build predictive models forecasting sporting outcomes and driving trading performance.You will develop statistical models, test ideas on large datasets, and collaborate with researchers, traders, and engineers in a highly technical, autonomous e

Quantitative Developer – Python – Central London. We’re a fast‑paced blockchain scale‑up looking for Quantitative Developers with proficiency in Python, Pandas, NumPy, and experience from the Trading world.

Qube Research & Technologies offers a 5–6 month internship starting in 2027 for penultimate or final year students in Bachelor’s or Master’s programs.You’ll join a technical, collaborative team with engineers, researchers and traders to tackle data and software challenges.The role may focus

Quantitative Investment Analyst will work with the Quantitative Investment team to construct investment solutions and model management. PYTHON CODING – to build data analysis and quantitative investing tools. Prerequisite Required Experience - ~ Quantitative Investment Analyst & Trade Execution–

Quantitative Researcher – Fixed Income (London). CW Talent Solutions is partnering with a leading global investment firm to hire a Quantitative Researcher focused on fixed income research. Design and develop quantitative signals (alphas) across fixed income markets.

You will be situated within the XVACCR, Collateral & Credit Quantitative Research. The mandate of the quant team is to produce quantitative modelling and innovative solutions for XVA, Counterpart Risk, Collateral and Credit topics. Quantitative Analyst (Experienced) XVA/ C++ / Modelling - London hyb

Designing, implementing, and maintaining quantitative models and tools for asset valuation, data processing, and performance attribution. Effectively communicating quantitative insights to non‑technical stakeholders.

A degree in Computer Science, Engineering, Finance, Mathematics, or a related quantitative field. You will operate within a highly collaborative environment with a diverse team of quantitative researchers, risk managers, and traders.

Bonhill Partners are currently supporting an Investment Bank based in London to expand their core Quant engineering team contributing to the development of production systems, quantitative models, and tools used across the business. Strong quantitative background and comfort with mathematical modell

They are looking for a Quantitative Analyst with strong knowledge of Structured Credit / Securitised Products to join their Quantitative Analytics & Development team based in London. Experience working as a Quantitative Analyst in a front office trading environment. Quantitative Analyst - Structured

Ability to communicate complex quantitative concepts clearly to a wide range of stakeholders. We are working exclusively with a leading Private Markets fund who is seeking a Quantitative Risk Manager. Lead quantitative and qualitative risk management activities across Private Markets investment port

Our world-renowned client is looking to hire a Quant Data Engineer in London into a varied role at the intersection of technology, data science, and quantitative research.

Senior Windows Security Engineer | Technology-Driven Quantitative Trading Firm.

Quantitative Middle Office Analyst – Commodities.