1,151 to 1,175 of 2,152 Data Science Jobs in London

take ownership of the direction, prioritisation and delivery of analytics work across the credit risk function.The role is focused on modernising the way risk data is analysed, automated and communicated. This will include developing scalable Power BI reporting, using Python to automate recurring analytical processes and identifying opportunities … improve the quality, efficiency and value of risk insight.This is not a pure data science, IT or technology-transformation role. It requires someone who understands banking risk data, can identify practical applications for modern analytical tools and is comfortable personally contributing to technical delivery.Key responsibilitiesLead, coach ...

fixes.Continuously improve QA processes and coverage.QUALIFICATIONSBachelor’s Degree in a technical field or equivalent experience.4+ years in QA/test engineering, with exposure to data/ML systems.Strong Python and data-science techniques for measuring factual grounding and answer quality.Experience with LLM evaluation frameworks and statistical analysis.Ability ...

help our clients to do. You'll build trusted relationships with business stakeholders - and use the most exciting new technologies available - to create data and AI-driven programs that transform their organizations. Your advice will help clients position their organisations to succeed in an ever-evolving marketplace. Connect … guiding us to deliver impact how and where it matters most.Connect to your opportunity We are seeking to hire experienced Manager into our AI & Data practice, aligned to the Life Sciences industry, with a focus on delivering projects across our Commercial & Marketing AI propositions. The injection of Agentic ...

global cybersecurity P&L. Collaboration, both within our team and with other parts of the business (such are Strategic Communications, Technology and Data Science), are central to how we operate. Our engagements typically draw on expertise from across our business and geographies.After a period of extensive growth … into Incident Reports for wider consumption.* Experience using EDR tools such as SentinelOne, Carbon Black etc.* Knowledge of Chain of Custody procedures.* Understanding of data loss/data theft prevention concepts and technologies.* Threat modeling fundamentals.Preferred Qualifications* Certifications related to DIFR, i.e., GCFE, GCFA, GREM, GNFA ...

validated across financial risk, operational and technology risk, and non-financial crime regulatory obligations.Drive the evolution from point-in-time manual testing to continuous, data-enabled control validation using system logs, automated data extracts, dashboards, and internal risk tooling, in line with market expectations for modern fintech monitoring … business and control environment.Direct deep-dive testing of operational and product controls across technology and business processes, including platform resiliency, incident governance, cloud and data controls, third-party dependencies, automated decisioning, and critical operational workflows.Lead testing of non-FCC regulatory and partner-related obligations, including consumer protection, licensing commitments ...

ownership of the direction, prioritisation and delivery of analytics work across the credit risk function. The role is focused on modernising the way risk data is analysed, automated and communicated. This will include developing scalable Power BI reporting, using Python to automate recurring analytical processes and identifying opportunities … improve the quality, efficiency and value of risk insight. This is not a pure data science, IT or technology-transformation role. It requires someone who understands banking risk data, can identify practical applications for modern analytical tools and is comfortable personally contributing to technical delivery. Key responsibilities ...

Chambers & Partners is seeking a Senior Product Manager for its Data & Analytics team. You will shape the future of market-leading data products, transforming legal industry data into innovative solutions that deliver value for customers. You’ll collaborate with engineering, data science, marketing and sales ...

dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value … intelligence enabling a single, simplified point of entry to cross-retailer media at scale. Built in partnership with Kevel and powered by dunnhumby’s data and expertise, DNA connects brand and performance across the full customer journey, delivering more transparent, consistent and effective outcomes in an increasingly complex media ...

debt markets — the world’s largest asset class at over $145 trillion.Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value … With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide.The OpportunityThe Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine ...

biology usually are, they've built their lab and software stack side by side from day one. Every computational model is grounded in data they generate themselves, and every experiment is informed by what the models find. About the Role We're looking for a Director of Computational Biology … build and lead a high-impact team at the intersection of biology, data science, and machine learning. You'll shape our computational strategy, translate complex biological questions into tractable analytical problems, and help drive discoveries from bench to insight. This is a rare opportunity to build a function ...

shape the future of cybersecurity and redefine the intersection of networking and security. At Fortinet, our mission is to safeguard people, devices, and data everywhere. We are currently seeking a Software Engineer (Cybersecurity Analytics & Enforcement) to contribute to the success of our rapidly growing business.The FortiDLP platform collects millions … data points per second, and innovative companies worldwide use FortiDLP for human-centric data loss protection. Our users need a way to spot trends in this data, search for security breaches, and take effective action. The Insight Team is responsible for the development and maintenance ...

Firm’s innovation initiatives, supporting our lawyers in client delivery excellence. The team has deep expertise in working with established and emerging technologies, data analytics and data science, knowledge solutions and process re-engineering. The Practice Solutions team works with our lawyers to identify innovative solutions … comfortably in a programme environment, and can design change projects with defined tasks, activities and milestones. Our Change approach and interventions are informed by data and we expect our change managers to be comfortable reading and interpreting data presented in spreadsheets and dashboards.Key ResponsibilitiesChange Planning and Design: Design ...

Bauer Media Group is seeking a Senior Data Scientist to shape how data drives audience growth, revenue optimization and customer experience across its Europe-wide portfolio. You will lead end-to-end data science projects, partnering with Digital Media, Revenue Management and Consumer Promotions to deliver … actionable insights and scalable solutions. Join a modern data capability that combines analytics, experimentation and machine learning to create real business impact within a leading European #J-18808-Ljbffr ...

Enterprise AI software company, is seeking a Data Scientist to join the UK defence-focused data science team. You will collaborate with data scientists, software engineers, and subject matter experts to define new analytics capabilities and implement machine learning models on the C3 AI Platform ...

operational headcount at the same rate. What You Will Build & Own:You will lead the overarching product strategy for how we collect customer risk data, route tasks, and handle complex financial crime investigations. Specifically, your squad focuses on three core pillars:The 360 Customer Data Engine: Revolutionize … collect, ingest, and synthesize customer information. You will build frameworks that aggregate complex data points into a unified, real-time risk profile, giving analysts instant context without the hunt.Intelligent Case Handling & Workflows: Own the end-to-end case management experience. You will build flexible, customizable workflow engines that empower ...

Position Overview:The Data Products and Services team uses some of the most cutting-edge technologies and cloud offerings to design, build and maintain machine learning frameworks, data science tools, microservices, web applications and other data driven products. We actively seek to work with the latest … using ReactTake ownership of the products you and your team work on to ensure continued support and improvementsRequired Qualifications:Bachelor’s degree in Computer Science, Engineering, or related subject4+ years of professional software engineering experienceProficiency in Python and web developmentExperience with relational databases and document storesProven track record ...

people deeply interested in teaching what they know, and in learning from you.Day to day the Quant Researcher will: • Researching high volumes of market data to identify patterns and express your own fully algorithmic trading strategies • Creating and implementing trading strategies • Efficiently processing, storing, and retrieving huge amounts … market data to identify trading opportunities • Simulations and accuracy of forecasts Quant Researchers should have: • PhD/MSc from a top tier university • Have read Hull • 2 years experience in a Trading or Finance or High Demand environment • Complex problem solving • Good mix of engineering and data science ...

front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting‐edge machine learning, real‐time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents scams … operating CI/CD pipelines, Distributed, and Concurrent Systems. Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data‐driven decisions with the customer in mind. Data Proficiency: Experience with relational and non‐relational databases, including query optimisation and designing resilient schemas. ...

front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents scams … operating CI/CD pipelines, Distributed, and Concurrent Systems. Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind. Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing resilient schemas. ...

functional testing using Azure DevOps, XRAY, and JIRA. Conduct regression, functional, emergency change, and defect testing across production systems. Perform API testing, data validation, and batch process testing to ensure comprehensive system integrity. Design and maintain a test results dashboard to provide real-time visibility into project status, test … . Engage with production support, release management, and change teams to ensure robust QA delivery. Ensure suitable testing environments are available and manage test data for the system test phase. Run regression tests for monthly/weekly releases and hotfixes to validate core system functionality. Requirements: Essential: University graduate ...

functional testing using Azure DevOps, XRAY, and JIRA. Conduct regression, functional, emergency change, and defect testing across production systems. Perform API testing, data validation, and batch process testing to ensure comprehensive system integrity. Design and maintain a test results dashboard to provide real-time visibility into project status, test … . Engage with production support, release management, and change teams to ensure robust QA delivery. Ensure suitable testing environments are available and manage test data for the system test phase. Run regression tests for monthly/weekly releases and hotfixes to validate core system functionality. Requirements: Essential: University graduate ...

provide technical leadership across AI initiatives while remaining hands-on in the design and delivery of production systems. You'll collaborate with product, engineering, data, and learning specialists to create intelligent features that improve learner outcomes and drive innovation across the platform.You'll help shape the future … recommendations, and learner support tools.Build production-ready AI systems with a strong focus on quality, reliability, security, and performance.Collaborate closely with Product, Learning Design, Data Science, and Engineering teams to deliver customer-focused solutions.Evaluate emerging AI technologies and identify opportunities to improve learner engagement and educational outcomes.Establish engineering ...

exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingAbout the roleWe're looking for a curious, ambitious and data-driven … feedback1+ years of experience as a Product Manager or in an adjacent roleData proficiency, you're comfortable using SQL or Python to query data and run your own analysisFamiliarity with AI tools like Claude Code, Cursor or CodexBonus: experience in a start-up or scale-up environmentWhat ...

Oversee the deployment of low-latency, high-throughput retrieval and ranking pipelines (e.g., multi-stage retrieval, vector search) capable of processing billions of travel data points (reviews, photos, bookings, user intent) in real-time.Cross-Functional Collaboration: Partner closely with Product Managers, Engineering Leads, and Data Science peers … coach senior and mid-level ML scientists. Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality.Skills & Experience:Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field.Experience: 8+ years ...

operating CI/CD pipelines, Distributed, and Concurrent Systems. Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind. Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing resilient schemas. … ability, and a commitment to Test Driven Development and best coding practices. Collaboration: Excellent communication skills to articulate complex technical concepts across teams (Product, Data Science, Investigations). Nice to Have Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production ...