26 to 50 of 68 Data Science Jobs in West London

people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role Lendable is revolutionising the credit card industry by making … serve, how we grow, and how we deliver sustainable value. Key Responsibilities Drive promotions & pricing strategy: Develop and optimise promotional and pricing strategies through data-driven analysis and experimentation, balancing customer engagement, growth, price elasticity and profitability while continuously refining approaches based on product performance and scenario modelling. Build ...

DESCRIPTION Shape how hundreds of thousands of UK investors use data to make confident, informed investment decisions. Join a team building modern, cloud-native data platforms that enable analytics, regulatory reporting, and data-driven products at scale. You ll work with contemporary lakehouse and streaming patterns, strong … This role offers meaningful scope to influence platform standards and mentor others while growing your technical and leadership impact. Job summary As a Lead Data Engineer at JPMorgan Chase within Personal Investing, you will design, build, and operate a robust cloud-native data platform and pipelines that power ...

people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting Lendable is revolutionising the credit card industry by making financial tools accessible … serve, how we grow, and how we deliver sustainable value. Your impact Drive promotions & pricing strategy: Develop and optimise promotional and pricing strategies through data-driven analysis and experimentation, balancing customer engagement, growth, price elasticity and profitability while continuously refining approaches based on product performance and scenario modelling. Build ...

people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role Personal loans are the fastest-growing consumer credit product … write tickets and attend standups" PM role. You'll own real problems such as: Getting our proprietary credit models into production - working with data science to turn research into real lending decisions Designing and personally building automations that make our operations team dramatically more efficient Using data ...

Data Process & Automation Engineer Location: London - Hybrid Salary: £50,000 - £60,000 We are seeking an experienced Data Process & Automation Engineer to join a leading change and transformation consultancy, supporting clients across process improvement, automation and AI-enabled solutions. This role will focus on analysing business processes, identifying … automation opportunities and delivering scalable solutions using RPA, low-code and emerging AI technologies. Key Responsibilities as a Data Process & Automation Engineer Analyse end-to-end business processes and identify automation opportunities. Design future-state processes focused on efficiency, user experience and risk. Build workflow automation solutions using ...

DESCRIPTION Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting-edge AI/ML techniques to fundamentally … manage risks. This could range from developing AI/ML applications that make business-critical predictions such as client pricing, to handling vast data sets using the J.P.Morgan's Cloud capabilities or optimal hedging policies for interest rate risk management. You will be in tight partnership with the business ...

With increasing interest from government departments and industry partners, NPL is well placed to offer authoritative testing, evaluation, verification and validation (TEVV) approaches and data‐confidence frameworks that support the safe and effective use of trustworthy AI systems. To make the most of this rapidly evolving environment, NPL requires … international AI assurance discussions to help shape the structure and requirements of the emerging ecosystem. Strategic Proposition Development Work with the Data Science and AI Department to develop a clear and compelling NPL proposition centred on providing the technical foundation for AI quality and assurance. Clarify ...

Product Analyst to join the Financial Crime Platform team and partner with our Financial Crime and KYC Product teams to ensure we are making data-driven and innovative growth decisions while helping to combat financial crime. Financial Crime (Servicing) Platform is our internal risk infrastructure tool that unifies customer … Analysts to bring your insights into real change for our customers and help us work towards our mission Youll expose the vast amounts of data available to our product teams in a meaningful and actionable way and support other teams in discovering insights in our data solutions Proactively ...

Join us and be part of something bigger. J OB P ROFILE DESCRIPTION Kainos is recognised as one of the UKs leading AI and data businesses, with a decade-longtrack recordof delivering impactful, production-grade AI solutions for clients across government, healthcare,defenceand commercial sectors. Kainos … exciting team to join Kainos as we further grow our AI capability. M AIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS : As a Data Scientist Manager at Kainos,youllbe responsible forsuccessful delivery of advanced AI solutionsleveragingstate-of-the-artmachine learning, generative and agentic AI technologies.You will drive ...

their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values Requirements The Role: We are seeking an AI Data Scientist to help build intelligent, data-driven products. You will design, develop, and deploy machine learning models, working across data engineering … analytics to solve complex business problems. Youll collaborate with product, engineering, and business teams to transform data into actionable insights and high-impact AI solutions. Key Responsibilities: Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform ...

focuses on business customers. Businesses are not simple identity objects: they are legal entities connected to directors, shareholders, UBOs, authorised signatories, employees, documents, registry data, vendor data, ownership structures, risk signals, and market-specific requirements. That makes KYB one of Wise's most complex verification domains. … need, and delivery readiness. Translate ambiguous KYB problems into clear product requirements, launch criteria, success metrics, and learning loops. Partner with Engineering, Analytics/Data Science, Product Compliance, Risk, Operations, regional teams, vendors, support partners, and adjacent PMs. Define launch metrics and guardrails across customer impact, manual review ...

thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your … analysis. 3 years of experience in people management, in leading, mentoring, and developing technical and analytical teams. Experience writing, reviewing, and maintaining code for data manipulation and analysis using programming languages (such as Python, R, SQL). Experience presenting to non-technical audiences. Preferred qualifications: PhD in a quantitative ...

automated deployment pipelines Excellent communication and stakeholder management skills Ability to engage with both technical and non-technical audiences Education Degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related technology discipline Minimum 2:1 degree classification (or equivalent) Desirable Azure OpenAI … Bedrock and Google Gemini experience MLOps, Data Engineering or Platform Engineering experience Experience leading technical teams Knowledge of Agentic AI, AI Agents and emerging AI frameworks What's On Offer? Opportunity to work on high-profile AI transformation projects Exposure to the latest AI technologies and enterprise-scale environments ...

DESCRIPTION Drive the future of analytics and AI within Payments by delivering scalable data products, enabling AI adoption, and transforming complex business challenges into actionable insights that accelerate growth, optimize liquidity, and enhance client outcomes. As a Vice President within the Liquidity & Account Solutions (L&AS) Business Intelligence & Analytics … Establish and maintain AI/ML governance frameworks, including documentation, validation, monitoring, bias reviews, and regulatory compliance requirements. Partner with Technology, Quantitative Research, and data platform teams to ensure adherence to analytics governance and firmwide standards. Promote self-service analytics capabilities and lead AI literacy and upskilling initiatives across ...

DESCRIPTION The Compliance, Conduct and Operational Risk (CCOR) Data Analytics team is part of the firm's CCOR organization within the second line of defense. CCOR is responsible for the design and execution of the CCOR program, which consists of the second line of defense's responsibilities in managing … firm's Compliance, Conduct, and Operational Risk. The Data Analytics team works with CCOR functional groups to deliver solutions designed to facilitate data-driven decision making and enable proactive risk management. This role blends product management, business analysis, and project management responsibilities to deliver strategic capabilities ...

days per week onsite) Clearance Required: BPSS The Opportunity We're looking for an experienced Machine Learning Engineer to join a high-performing data and AI team, focused on building and deploying machine learning solutions that deliver highly personalised user experiences at scale. This is an exciting opportunity … work on cutting-edge recommendation systems, ranking models, user segmentation, and content analysis capabilities, helping to drive data-driven decision-making and product innovation. Key Responsibilities Machine Learning Development Design, build, train, and optimise machine learning models focused on personalisation and recommendation systems. Develop solutions covering: Recommendation Engines Ranking ...

DESCRIPTION The Chief Data & Analytics Office (CDAO) team for Global Banking and Payments is responsible for the strategy, governance, architecture, and delivery of data and analytics solutions for Corporate Investment Banking and Payments businesses. We are focused on harnessing data to drive innovation and growth, unlocking client … value, and positioning the franchise to lead in a rapidly evolving AI-enabled landscape. As a Project Manager in theChief Data & Analytics Office (CDAO) team, you will be responsible for managing key Payments AI transformation initiatives across the group. You will lead the delivery of new and enhanced products ...

requirements Monitor compliance with governance and control requirements and engage stakeholders to remediate issues Partner closely with subject matter experts in AI/ML Data Science, Architecture & Engineering and Data toidentify areas for process improvement Enhance and streamline AI/ML governance by helping to define … implement the strategic roadmap for firmwide and CIB governance tooling Required qualifications, capabilities and skills: Strong data analysis and problem-solving skills Attention to detail and ability to work independently Strong verbal, written, presentation and communication skills, including use of Excel and PowerPoint Hands on experience using Tableau ...

future of our first credit products. In this role youll partner closely with a high performing global team consisting of the product lead, engineers, data scientists and designers to deliver a world class credit product. You will be expected to be hands on with the data and grow … small team of analysts as the product scales. What Youll Do Partner with Data Science to challenge and stress-test credit risk modelling assumptions for our SME customers (including scenario and sensitivity testing), ensuring decisions are robust and explainable. Leverage market insights and publicly available data ...

work-life balance. Thats waiting for you at Sainsburys. Think about the scale it takes for us to feed the nation. The level of data, transactions and variety it involves. Then youll realise that ours is a modern software engineering environment because it has to be. Weve made serious … look forward to awesome opportunities in everything from AI to reusable tech. Why join us Joining Sainsbury's Tech as a Data Engineer means becoming part of a leading technology organisation that powers the UK's top multi-channel, multi-brand retailer. We are a community of passionate engineers ...

Google's data scientists work within our Software Engineering organization, including Search, YouTube, and Google Ads. We analyze sets of data and continually run live experiments in order to help drive critical decisions at Google. Specifically, we support the development of innovative, highly scalable, next-generation technologies through … Local, Google engineers are changing the world one technological achievement after another. Minimum qualifications: Currently enrolled in a PhD program in Statistics, Biostatistics, Computer Science, Mathematics, Operations Research, or a related technical field involving experimental design and quantitative analysis of experimental data, and in your penultimate year ...

delivery Implement observability for AI services (logging/metrics/tracing), model performance monitoring, and quality/drift checks with actionable alerting Partner with data scientists, data engineers, platform teams, and governance/risk stakeholders to ensure end-to-end delivery meets control, auditability, and documentation expectations Translate … management Working knowledge of ML/DL frameworks and tooling (e.g. PyTorch/TensorFlow and the Python ML ecosystem) sufficient to collaborate effectively with data scientists and implement inference pipelines Experience working with complex, multi-layered datasets (including imbalanced data) and integrating data pipelines into AI services ...

Experis - ManpowerGroup is seeking an experienced Machine Learning Engineer to join its data and AI team in Osterley, West London. Hybrid role requiring 2 days on-site per week with strong emphasis on personalisation, recommendation systems, and scalable ML solutions. You will design, train, and deploy models, build scalable … data pipelines, evaluate model performance, and collaborate with Product, Engineering, and Data Science teams to drive product innovation in a data-driven environment. #J-18808-Ljbffr ...

long-term vision. Shape the roadmap. Deliver the first implementation. Then scale it across the business. You will operate across Product, Engineering, Architecture, Data and Proposition teams, driving alignment and adoption in a complex, multi-brand environment Define and evolve a strategic roadmap that aligns with enterprise goals, customer … enterprise strategy into a clear, phased platform roadmaps. Partner closely with architecture and engineering to shape platform strategy. Partner with Fraud Operations, Risk, and Data Science teams to ensure the platform proactively responds to emerging fraud vectors and regulatory requirements. Establish platform guardrails and adoption criteria. Ensure platform ...

Myers Squibb in the UK (Uxbridge) is seeking a Senior Manager, Real-World Evidence (RWE) Biostatistician to lead curation and analysis of real-world data, supporting regulatory and clinical strategies. This on-site role requires 50% office time in Uxbridge and collaboration across Biostatistics, Data Science, HEOR … Epidemiology, Clinical, and IT. You will design data pipelines, conduct exploratory analyses, develop study protocols and SAS/R/Python workflows, and communicate complex #J-18808-Ljbffr ...