76 to 100 of 133 Data Science Jobs in the City of London

s team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own … initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential. This is an office-based role and as well as very competitive salaries, our client offers an excellent working … following: Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not essential If you feel you have the skills and experience More ❯

Principal Data Scientist Up to £150,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to … updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. … How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

broader MI and analytics capabilities. Key Responsibilities Assist in developing and delivering the MI and Analytics roadmap. Maintain and evolve regular MI reporting for internal committees and boards. Automate data and reporting processes to increase efficiency across departments. Build dashboards, reports, and scorecards using Tableau and other tools. Collaborate with internal teams and external partners to enhance data outputs. Contribute to wider data initiatives including process improvements and new data source development. What We’re Looking For Proficiency in Tableau or similar visualisation tools (e.g. Power BI). Strong analytical skills and attention to detail. Basic understanding of data management principles and reporting frameworks. Excellent communication skills and the ability to work across functions. … A degree in an analytical subject such as Data Science, Business Analytics, or Management Information Systems. Previous knowledge of the Lloyd’s/London insurance market is advantageous but not essential. What You’ll Gain Exposure to high-impact projects and board-level reporting. Opportunities to develop technical and industry expertise. A supportive environment that values innovation and More ❯

sustainable business performance Transforming organisations and develop future sport leaders Driving increased and more effective funding into sport Achieving lasting positive change in society Overview We are expanding our Data & AI team and are looking for a Senior Data Scientist to join the team. You will lead analytical workstreams on client projects, help productionise workflows and mentor more … making across sporting performance, commercial and operations. We are looking for someone proactive, excited by the opportunity of working in a growing team, and who loves sport. Responsibilities: Lead data science workstreams on client projects, managing analysts and collaborating with consultants Develop and deploy statistical models and core IP Build reusable tools to streamline analysis and visualisation Communicate More ❯

Senior Data Scientist - Credit Risk | Automotive Sector 🚘 | London (Hybrid) | £60,000–£90,000 Peaple Talent is working in partnership with a top-tier Automotive company focused on delivering innovative and sustainable mobility solutions. As the UK’s largest car leasing provider, they currently support over 750,000 drivers. What sets this client apart is their inclusion of full insurance … coverage within lease agreements. With more than 815,000 Scheme Customers, they manage the UK’s largest motor fleet insurance policy. We’re now looking to onboard several Senior Data Scientists. These individuals will play a key role in strengthening the model risk management framework and ensuring accurate implementation of all forecast models. What we're looking for: Solid … academic background in Statistics, Mathematics, Economics, Data Science, or a related discipline A number of years experience in Risk Modelling, Credit Risk, Risk Management Proficiency in statistical tools, preferably Python or R Practical exposure to machine learning, predictive modelling, and advanced analytics techniques Industry experience in Automotive, Finance, or Manufacturing is highly desirable What’s in it for More ❯

Senior BI Developer London - Hybrid (3 Days Onsite) £55,000 - £70,000 An AI SaaS business is looking to hire a Senior Power BI Developer to join their growing Data & Analytics team. With a strong focus on customer analytics, this 50-person business has built a cutting-edge platform designed to help clients unlock value from their customer and … sales data. The Company This consultancy specialises in solving complex data problems for clients in the private equity space, retail, and healthcare, among others. Their platform centralises, models and operationalises customer data to enable faster insight-driven decision making. What You’ll Be Doing Working at the intersection of data engineering, analytics, and product innovation, the Senior … enterprise-grade dashboards for private equity clients and their portfolio companies. Develop Power BI dashboards that are scalable, user-friendly, and visually compelling Use SQL and DAX to model data, create measures, and optimise performance Collaborate across teams (Product, Data Science, Client Success) to gather requirements and ensure the dashboards meet strategic goals Lead client workshops and More ❯

As people increasingly move across channels and platforms, Kantar Media’s data and audience measurement, targeting, analytics and advertising intelligence services unlock insights to inform powerful decision-making. Working with panel and first-party data in over 80 countries, we have the world’s fastest growing cross-media measurement footprint, underpinned by versatility, scale, technology and expertise, to … drive long-term business growth for our clients and partners. Job Title: Data Scientist Location: London Work pattern: Full time/Permanent/Hybrid working This is a full-time permanent position, based in our London office. We operate in a hybrid capacity and require 2 days in the office. All applicants must have the legal right to live … and work in the UK. Role Description: We’re looking for a data scientist who thrives on solving complex, real-world problems using data—and wants to have a meaningful impact on the future of media. This role sits at the heart of cutting-edge audience measurement research, where you'll help shape how the world’s leading More ❯

Senior Data Scientist London, Remote £80,000-£100,000 I’m working with a mission-driven healthcare technology company that leverages real-world data to improve health outcomes and equity. They focus on understanding the complex social and behavioral factors that influence healthcare decisions, going beyond traditional clinical data. The company has evolved from a nonprofit origin into … a fast-growing, globally distributed tech organization. They generate revenue through consulting with pharmaceutical clients and by offering innovative data products aimed at transforming healthcare strategies. The Role As a Senior Data Scientist, you will be a key technical leader on their core data products. Your primary focus will be building and deploying predictive machine learning models … using large-scale, complex datasets — including consumer data, survey data, and extensive geospatial information. You will take ownership not only of modeling and metric development but also of the end-to-end ML lifecycle, including deployment and monitoring using modern MLOps frameworks. Collaboration with data engineers and cross-functional teams is essential, as you’ll help shape More ❯

Senior Pricing Data Scientist London Hybrid (1 day per week in office) Up to £85,000 Company: I’m hiring for a fast-growing InsurTech that’s reshaping how insurance pricing is done. They’ve attracted major investment and are building out a best-in-class pricing and data science team to support their rapid growth. As … a Senior Pricing Data Scientist, you’ll play a key role in designing and deploying advanced pricing models that directly impact revenue and profitability The Role: Build and deploy pricing models using statistical and machine learning techniques Analyse large datasets to understand risk and performance across products Develop pricing strategies that support customer growth and profitability Work closely with More ❯

Senior Power BI Developer Holborn, London – Hybrid (3 days in office) Up to £70,000 + benefits The Company A growing data consultancy delivering AI-powered customer analytics solutions across a wide range of industries. With a strong focus on insight automation and platform-led delivery, their work sits at the intersection of product, data science, and … Power BI Developer, you’ll play a hands-on role in designing and building client-facing dashboards that surface key customer and commercial metrics. You’ll work closely with data engineers and stakeholders to transform raw data into clear, actionable insight—with DAX modelling at the heart of it. Key Responsibilities: Design and deliver Power BI dashboards for … external clients Build scalable data models using DAX and SQL Run stakeholder workshops to define dashboard requirements Optimise performance using DAX Studio and best-practice modelling Support broader data integration and delivery with cross-functional teams What You’ll Bring Extensive BI development experience in a client-facing or consultancy setting Strong command of DAX (CALCULATE, SUMX, VAR More ❯

in Central London. Reporting to the Head of Business Intelligence, Technology, and AI Systems, this role is crucial for ensuring the stability, efficiency, and scalability of our business technology, data, and AI systems part of a department of 12, it is Hybrid and the offices are based in Central London near St Paul's station. Skills required 3E, IntApp … Elite, Data InsightsAI, Machine Learning, Data Science, SSRS, PowerBI, Workflows. You'll play a pivotal part in assisting with the administration and enhancement of our key applications and their associated processes. A proactive approach to identifying and delivering new innovation opportunities will also be a key aspect of your contribution. This role involves essential day-to-day … all departments to ensure systems are aligned with both current operations and future strategic goals. ·Play a vital part in supporting month-end and year-end close activities, ensuring data accuracy, system balancing, and compliance with financial controls. ·Focus on continuous improvement, identifying opportunities to streamline workflows, automate tasks, and introduce new tools including AI and Machine Learning that More ❯

firm - exceptional comp & bens We are working with a leading systematic hedge fund who are seeking talented Quantitative Developers to work in the front office space alongside quant researchers, data scientists and engineers of various disciplines. As an embedded quant developer, you will work closely with the business to analyse data and develop and run production signal pipelines. … experience of software engineering and end-to-end solutions ownership. Proficiency with Python and/or C# (other OO languages are a plus) Solid understanding of software architecture, algorithms, data structures and computer science fundamentals Interest or experience in quant finance Advanced knowledge of the python data science stack (Pandas, NumPy, SciPy) is a plus Strong More ❯

Lead Data Engineer – London – £120,000 Sector: AI Consulting | Client Delivery Type: Full-time | Hybrid Join a tech consultancy at the forefront of applied AI—helping global brands design and deploy intelligent systems that solve real business problems. They combine deep engineering know-how with domain expertise to build the data infrastructure that powers machine learning and generative … AI at scale. 🔍 About the Role As a Lead Data Engineer , you’ll play a critical role in delivering AI-driven solutions for clients—owning the architecture and development of robust, scalable data platforms that feed into machine learning models and intelligent applications. You’ll work closely with Data Scientists, MLOps Engineers, and domain experts to ensure … clean, accessible, and production-grade data pipelines are in place to support experimentation and deployment. 🛠️ Key Responsibilities Build and maintain high-performance data pipelines to power AI/ML use cases Architect cloud-native data platforms using tools like Databricks , Airflow , Snowflake , and Spark Collaborate with AI/ML teams to align data processing with model More ❯

someone with over 4 years of development experience who thrives in a collaborative, office-based environment. Their core software product helps leading industrial organizations enhance asset performance by applying data science and machine learning to minimize waste and boost reliability. Full Stack Developer Opportunity Location: London (Office-based, collaborative team) Salary: £55,000 - £65,000 Industry: Data … Java and Python . Collaborate on infrastructure setup and maintenance. Focus on testing, coding, and refactoring to ensure high-quality solutions. Work closely with cross-functional teams (developers, DevOps, data scientists, product managers) in an agile methodology . Their Tech Stack includes: Backend: Spring & Spring Boot, Java, Python, FastAPI Frontend: Vue.js Cloud: AWS Databases: Elasticsearch & Postgres And more... This … role offers exciting opportunities to dive into various areas, including Natural Language Processing, Random Forest and Monte Carlo Simulations, Classification, Big Data ETL Pipelines, High Volume Event Processing, Predictive Analysis, CI/CD Cloud Ops, Mentoring, UX Design, Data Visualization, and Build Management Systems . This is a brilliant opportunity to join a company at the forefront of More ❯

Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com About the team: You will be part of a team who use global … data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. You’ll leverage a real … analytics workflows Applying your curiosity and problem-solving skills to transform uncertainty into value-add opportunities Using your strong attention to detail and ability to craft a story through data, delivering industry-leading presentations for external and executive audiences Building an extensive knowledge of cybercrime – account takeover, scams, social engineering, Card Not Present (CNP) fraud, money laundering and mule More ❯

Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com About the team: You will be part of a team who use global … data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. You’ll leverage a real … analytics workflows Applying your curiosity and problem-solving skills to transform uncertainty into value-add opportunities Using your strong attention to detail and ability to craft a story through data, delivering industry-leading presentations for external and executive audiences Building an extensive knowledge of cybercrime – account takeover, scams, social engineering, Card Not Present (CNP) fraud, money laundering and mule More ❯

and AI Systems, The role is paying upto 80k and it it is Hybrid this role is crucial for ensuring the stability, efficiency, and scalability of our business technology, data, and AI systems part of a department of 12, it is Hybrid and the offices are based in Central London near St Paul's station. Skills required 3E, IntApp … Elite, Data Insights, AI, Machine Learning, Data Science, SSRS, PowerBI, Workflows. You'll play a pivotal part in assisting with the administration and enhancement of our key applications and their associated processes. A proactive approach to identifying and delivering new innovation opportunities will also be a key aspect of your contribution. This role involves essential day-to … all departments to ensure systems are aligned with both current operations and future strategic goals. Play a vital part in supporting month-end and year-end close activities, ensuring data accuracy, system balancing, and compliance with financial controls. Focus on continuous improvement, identifying opportunities to streamline workflows, automate tasks, and introduce new tools including AI and Machine Learning that More ❯

Head of Data & AI London (Hybrid) Up to £130,000 A high-impact leadership opportunity at a fast-scaling, cloud-native financial services business. This is your chance to take full ownership of the data strategy - spanning engineering, analytics, governance, and AI - and shape how data drives the future of the organisation. You’ll lead a growing … multi-disciplinary team and partner with senior stakeholders across product, technology, risk, and operations to embed data into the core of decision-making, product design, and strategic planning. It’s a great fit for someone who blends technical depth, commercial thinking, and a passion for building high-performance data teams. What you’ll be doing: Own and lead … the enterprise data strategy – across infrastructure, analytics, and AI/ML. Build and scale the team – including engineers, analysts, scientists, and AI/ML specialists. Shape the data platform – ensuring it’s scalable, reliable, and ready for AI-driven innovation. Drive analytics and BI – enabling self-serve tools, structured reporting, and decision-support insight. Support responsible AI adoption More ❯

Data Analyst – Subscription & Growth Remote First Up to £45,000 *Please note, this company is unable to offer sponsorship and you must reside in the UK to apply* The Company: The client is a well-known, multi-brand media group undergoing an exciting digital transformation. This particular role sits within their genealogy and family tree brand – a product-centred … subscription-based business that’s investing heavily in experimentation and growth. You’ll be joining a collaborative data team of seven, reporting into the Head of Data Science & Insights. It's a supportive and cross-functional culture, with analysts embedded into squads and closely aligned with product and marketing. The Role: You’ll be at the heart … customers. Design and analyse A/B tests and experiments across features and functionality Use SQL to deep dive into customer journeys and behavioural patterns Build and share compelling data stories to drive action and decision making Collaborate across product, marketing, and commercial teams Help shape experimentation strategy to optimise user acquisition and retention What They’re Looking For More ❯

at the intersection of creativity, performance, and AI innovation, this global business helps clients unlock efficiency and effectiveness across the content supply chain. The company blends creative insight with data science and automation to drive DCO at scale. As the Creative Analyst , you'll play a crucial role in turning data into actionable insights that shape creative … strategy and showcase performance impact. This is a perfect opportunity for a curious, analytically minded individual who enjoys blending creativity with data to influence decision-making and innovation. The Role Analyse creative and campaign data to identify trends and performance insights Develop actionable recommendations to improve campaign effectiveness Create reports, visualisations, and presentations for internal and client stakeholders … product teams to refine campaign strategies Contribute to the development of new tools and automation processes (e.g. AI-powered optimisation, creative tagging) The Candidate 2+ years' experience in a data, media, or digital analytics role Knowledge of programmatic and/or social media platforms Familiarity with creative production or DCO campaigns Strong numeracy and analytical skills with a good More ❯

team to ensure optimal delivery and satisfaction. The ideal candidate should have a minimum of 5 years of experience in project management, client relationship management, and demonstrable expertise in data analytics, particularly within the realm of marketing effectiveness and Marketing Mix Modelling (MMM). The Client Success Manager should be able to work in a fast-paced environment, manage … a proactive approach to identifying and resolving issues. The successful candidate should have a deep understanding of the Marketing Effectiveness and analytics industry, with specific knowledge of MMM methodologies, data requirements, and interpretation of model outputs. They should be up to date with the latest trends and developments in marketing measurement. They should be able to interpret complex data … business recommendations. The Client Success Manager should be a team player and possess effective communication and interpersonal skills to collaborate effectively with cross-functional teams, including dedicated analytics and data science teams. Key Activities & Accountabilities Drive optimal client project processes for work delivery and client satisfaction, specifically for projects involving advanced analytics and MMM. Deliver high-quality client More ❯

and reduce price/volumetric volatility. · Use quantitative and qualitative analysis to craft strategies to help clients enter new markets that can boost growth. · Develop integrated strategies that leverage data science to drive decision-making in investment, trading, and other deeply quantitative domains, aligning with our clients’ business objectives. · Utilize advanced analytics, machine learning, and predictive modeling to … soft commodities, agriculture, metals, mining, utilities, transportation, consumer goods, or capital markets · Experience with recognized strategy frameworks and techniques · Analytical thinkers: utilise quantitative and qualitative analytical skills to probe data and generate impactful strategic insights · Innovation practitioners: knowledge of how to apply innovation tools and techniques (e.g. Generative AI) to creatively shape solutions that can enable growth strategies · Proactive More ❯

Principal Data Scientist Up to £125,000 London (Hybrid, 3 days onsite per week) Company: A leading marketing and analytics agency is seeking a Lead Data Scientist to develop and deploy end-to-end AI solutions. You'll work on machine learning models for retention, price optimisation, recommendation engines, NLP, and Computer Vision. Responsibilities: Design, develop, and productionize … production-level code) and other tools like SQL, Spark, and Databricks. Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Implement MLOps/DevOps practices in cloud environments (AWS, Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges … into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability to own solutions More ❯

on the lookout for a passionate Quantitative Risk Analyst to help deliver the Internal Ratings Based (IRB) approach across retail and commercial lending portfolios. 💼📊 🧠 What You’ll Be Doing : ✅ Data analysis & model development for PD, LGD, and EAD ✅ Building scorecards & stress testing models ✅ Supporting IRB regulatory self-assessments ✅ Identifying data gaps & ensuring quality remediation ✅ Producing clear documentation & reporting … Supporting model calibration and ongoing reviews 🧰 Your Toolkit : 📘 Background in Stats, Maths, Data Science or Engineering 💡 Strong knowledge of IRB, CRR, EBA & PRA regs 🛠️ Proficiency in SAS/SQL/other data tools 🧩 Sharp analytical & problem-solving skills 🗣️ Excellent communication & report-writing abilities 🤝 A proactive team player ready to make an impact 🎯 Why Join? Work at the … forefront of regulatory transformation Collaborate with experienced risk professionals Play a key role in shaping data-driven decision-making Hybrid working & supportive environment 📩 Ready to elevate your risk career? Apply now or message us to learn more! #QuantJobs #RiskAnalytics #CreditRisk #IRB #ModelDevelopment #QuantitativeAnalysis #HiringNow #SQL #SAS #RiskManagement More ❯

Engineer Location: London (Hybrid) Duration: 8 weeks initially Salary: £30 an hour (Via an umbrella company) Role Overview We are seeking a Research Software Engineer to support computational and data science projects within the Department of Earth Science and Engineering. The role involves close collaboration with researchers to develop, implement, and support high-quality software solutions for … both teaching and research. Key Responsibilities Collaborate with researchers to deliver data-driven and computational research solutions. Manage technical projects, including requirements gathering, planning, and risk management. Define and promote software development best practices (testing, CI/CD, version control). Design and deploy scalable software systems with monitoring in mind. Apply high-performance and distributed computing methods to More ❯