1,576 to 1,600 of 2,190 Data Science Jobs in London

Goodnotes is seeking a senior Product Analytics professional to embed in a small, fast-moving team in London. You will quantify how features move the business, design robust experiments, and build instrumentation to measure impact ...

between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM ~110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single … change which parcels get planned for, how warehouse shifts are scheduled, and where the operation focuses its improvement efforts. the company operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into teams across the business. You will sit with ...

Data ScientistNine Elms, London - Full-timeAs part of our vision, we are seeking a talented Data Scientist to join our dynamic, expanding team. Over the last few years we’ve built a solid data foundation using best in class technologies (dbt, BigQuery, Airflow) and are just … start of our journey to leverage this data in a more sophisticated way.About Zapp:Zapp is London’s leading premium convenience retail platform. Founded in 2020, our vision is to disrupt the multi-trillion dollar convenience retail market, currently dominated by major players, by developing best-in-class customer ...

address client concerns, while autonomously exploring new areas of product growth.Job responsibilitiesGenerate daily valuations of derivative securities for multiple market closes, including market data collection, price generation, quality control, and client queries.Create cutting-edge methodologies, pricing models, and infrastructure to increase accuracy and speed of valuations.Communicate with trading desks … close collaboration with the sales team.Required qualifications, capabilities, and skillsFirm understanding of derivatives principles, including pricing, risk and most common vanilla strategies.Good knowledge of data science principles, with software development skills in Python and Excel VBA as well as high aptitude for learning new technologies.Ability to collect ...

role:Translate 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 capabilities support … platform products in complex, multi-brand or multi-market environmentsExperience balancing commercial outcomes with technical constraints and regulatory requirementsStrong stakeholder management across Engineering, Architecture, Data, Fraud, Security and ComplianceData-led decision making across performance, cost and fraud metricsUnderstanding of fraud prevention approaches (rules engines, tooling, machine learning signals)Experience ...

office 4 days a week. Due to the nature of the work, a technical background or relevant engineering background is essential.Key SkillsDegree in Computer Science, Maths, Physics or SimilarExcellent background in C++ development or modelling related industries (CFD, O&G, Gaming etc)4+ years project lead or Team lead … role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, C# .net, Mechanical Design, Machine Learning, AI, FPGA, Electronics, Java, Python, Data Science or Simulation contact us today.Tagged as: C++, Software ...

will work across frontend and backend, building scalable features and shaping direction while mentoring teammates. The role emphasizes AI-native development, real-time data, and robust visualisations to enable brands to derive actionable insights. You will collaborate with Product, Design and Data Science to shape discovery through ...

across the UK and US.Key responsibilitiesLead and grow the team - directly manage four Senior MLEs in London; hire complementary talent across MLE, SWE, and data science profiles as scope grows; develop strong senior ICs and hold a high bar.Own the technical direction - guide the architecture for adapting shared … looking for the following skills and experience.Essential 8+ years in ML engineering, including hands-on computer vision with camera and/or lidar sensor data, and a track record of shipping production ML systems from research through to reliable, monitored, customer-facing software.2+ years line-managing or tech-leading ...

GPrudential in London is seeking an experienced Actuarial Modeller & Valuations lead to advance quantitative modelling, apply data science, and oversee a multi-disciplinary team of actuaries, data scientists and technical specialists. You will drive governance, validation, and practical modelling solutions, while collaborating across actuarial, risk, finance ...

Head of Product to lead the optimisation and orchestration product suite. You will define the long-term strategy, drive monetisation, and partner with Engineering, Data Science, Sales, and Marketing to deliver high-impact, data-driven product capabilities across the payments landscape. You will translate analytical insights into ...

closely with ML, backend, and product teams to ship features end-to-end.Key skills required for this role:Bachelors or Masters degree in computer science or another related field from a Russell group universityStrong full-stack engineering experience across frontend and backend development, with a solid understanding of system … with remote working, please apply.For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today.Tagged as: Fullstack, Software, Typescript ...

deliver high quality services for patients and best value for taxpayers. Our staff bring expertise across hundreds of specialisms — including clinical, operational, commissioning, technology, data science, cyber security, software engineering, education, and commercial — enabling us to design and deliver high‐quality company services. We lead the company … eliminates waste. If successful at interview, we will initiate an Inter Authority Transfer (IAT) via the Electronic Staff Record (ESR). This retrieves key data from your current or previous the company employer to support onboarding, including competency status, Continuous Service Dates (CSD), and annual leave entitlement. ...

summary Join iCARE (Imperial Clinical Analytics, Research & Evaluation) and help shape the future of data-driven healthcare. We are looking for a Senior Data Engineer to join our multidisciplinary team and play a key role in advancing secure NHS research infrastructure through innovative use of health data. iCARE … cutting-edge health data and analytics initiative and home to Imperial's Azure based Secure Data Environment, bringing together clinical expertise, research capability and advanced analytics to unlock the potential of health data and improve patient outcomes. Working across digital health, Artificial Intelligence and Real-World Evidence ...

assessments while helping translate engineering expertise into AI-enabled products that deliver greater efficiency and value to clients.Working closely with product, engineering, commercial and data science teams, you'll have the opportunity to influence how AI is applied to real-world renewable energy transactions.Key ResponsibilitiesLead technical due diligence … high-growth, technology-driven environment where innovation and collaboration are central to success.DesirableChartered Engineer status or equivalent professional accreditation.Experience across multiple European markets.Exposure to data analytics, digital tools or AI-enabled technical workflows.Commercial awareness and experience supporting business development.Why Join This is a unique opportunity to combine technical excellence ...

central team covering the breadth of Faculty’s Applied AI division. In partnership with our Business Units, we form multidisciplinary teams and work with data scientists, engineers and delivery colleagues to create durable AI-powered software solutions for clients across a variety of industries.Both product management and design … critical disciplines to create impact with AI. While data science and machine learning offer a powerful means to build insight and predictive capability, those insights are often consumed within a complex operational environment where human and organisational factors determine whether solutions are adopted and ultimately successful.Closing ...

meetings as the BIM operational lead.Support compliance of all Information deliverables with HS2 and project Information requirements including the integration of CSM and CDM data and asset UAIDs into graphical models.Support Project and supply chain use of the PIM and AIM CDEs in line with WI requirements including metadata … Interface Manager e.g. Attend interface meetings and track information related actions, Monitor representation of interface requirements within models and documentation.Support coordination of structured asset data delivery: e.g. Monitor progressive completeness and consistency of asset data outputs, Assist in preparation for validation activities ahead of sectional completion etc.Prepare ...

because our product is customer-facing, building and maintaining reliable, trustworthy systems is central to what we do. You will work alongside the lead Data Science/AI engineer and report to the Head of AI Product — both of whom are hands-on developers, so this is very … prompt engineering, evaluation and governance patterns) Experience with React/Next.js and modern web tooling. Familiarity with document/NoSQL stores (e.g. MongoDB) and data pipelines. Experience with deployment, Docker, logging and configuration. Understanding of the internal Marsh Tech landscape — OSS2, networking, the Voyager process, and similar ...

anomaly detection, predictive maintenance) and architect solutions aligned with TM Forum L0–L5 and ETSI ZSM frameworks. Productionise AI/ML models, collaborate with data science and engineering teams to deploy models in live RAN environments and support clients in building responsible AI governance frameworks. Lead and mentor … world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry ...

planning, anomaly detection, predictive maintenance) and architect solutions aligned with TM Forum L0–L5 and ETSI ZSM frameworks.Productionise AI/ML models, collaborate with data science and engineering teams to deploy models in live RAN environments and support clients in building responsible AI governance frameworks.Lead and mentor teams … world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry ...

team covering the breadth of the company’s Applied AI division. In partnership with our Business Units, we form multidisciplinary teams and work with data scientists, engineers and delivery colleagues to create durable AI-powered software solutions for clients across a variety of industries. Both product management and design … critical disciplines to create impact with AI. While data science and machine learning offer a powerful means to build insight and predictive capability, those insights are often consumed within a complex operational environment where human and organisational factors determine whether solutions are adopted and ultimately successful. Closing ...

raise performance for our merchants: resolving acceptance-rate issues that originate at the bank level through various types of collaborations, from investigations to proactive data sharing. As a Product Engineer on the team, you will build the foundational layer to productize and scale this value stream. You will design … build and ship agentic workflows, APIs, and internal tools for the team to drive our merchants and issuers performance proactively – as well as the data products we deliver to issuing banks directly. You will own what you build from prototype to production. You will work closely with data ...

priced and dispatched, and how our marketplace operates at scale. This is a high-ownership, high-impact role at the intersection of operations, data, and product and it's one of the most complex and consequential domains in the company.What you will ownYou will lead a domain of five … Domain, ensuring every team is working on the highest-impact problemsManage, mentor, and grow five Product Managers across different seniority levelsPartner closely with engineering, data science, and operations to solve genuinely hard technical problemsBalance chauffeur and partner needs against guest experience requirements, making smart trade-offs at paceStay ...

company Group is seeking a Senior Director, Machine Learning to spearhead ML, data science and experimentation efforts across our Experiences marketplace. You will report to the VP of Engineering and set the technical direction for personalization, ranking, and generative AI, while growing the team and maintaining a strong ...

Description Total Experience: 8+ years We’re specifically looking for professionals with: 2+ years of hands-on industry experience in Gen AI — beyond traditional Data Science, ML or Predictive Modelling At least 2 end-to-end Gen AI projects that they can explain in depth Strong experience with ...

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