101 to 125 of 141 Data Science Jobs in Central London

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 ❯

Typescript Software Engineer required to join a cloud services development team working on an industrial workflow and process management system that takes real world IoT device data including location tracking, computer vision and time series data, to enable clients to monitor and proactively manage plant process, logistics and engineering deliveries. You will join an existing application development team … a challenging and varied position developing new features and APIs, performance optimisation, CICD and test suite improvement, updating core software and infrastructure libraries used across many client services, supporting Data Science and deploying ML systems. More ❯

a model based on cost vs. impact Advocates for AI productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical More ❯

for core internal services – cloud infrastructure, reliable platform operations, and engineering productivity. Drive the evolution of foundational technology , enabling scalability , innovation , and new product capabilities across multidisciplinary engineering and data teams. Technical Environment Cloud Infrastructure Lead development and optimisation of AWS-based platform services, including Amazon ECS for container orchestration. Ensure scalable , resilient , and cost-effective systems for internal … engineering teams. Microservices & API Gateways Guide distributed system architectures and internal service integration . Define best practices for service-to-service communication and data management . AI & ML Enablement Set vision for MLOps platforms and streamline machine learning workflows . Enable deployment of traditional and generative AI models into internal platforms. Developer Experience & DevOps Tooling Shape strategy for CI … and system reliability . Key Responsibilities Define and maintain product roadmaps for platform , infrastructure , and AI/ML tooling . Act as primary product partner to engineering, SRE, and data science teams. Lead initiatives that boost developer experience , system observability , and engineering efficiency . Foster a culture of enablement , documentation , and adoption for internal tooling and platforms. Required More ❯

Lead Data Scientist Up to £100,000 London (Remote/Hybrid) Company: This is a pre-seed startup on a mission to rethink how content gets made. The media landscape is more competitive than ever, and the old ways of creating and testing content just don’t cut it anymore. They’re using data and AI to shape … stories that actually land with under-served audiences. Responsibilities: Work closely with the founder to translate visionary ideas into practical, data-driven experiments and models. Analyse audience behaviour data and build AI-driven tools (like synthetic test groups) to predict content success. Collaborate with product, creative, and tech teams to embed data insights into content creation and … decision-making. Identify data gaps and design tracking or instrumentation strategies to improve analytics capabilities. Stay hands-on with modelling and analysis while providing realistic guidance to keep projects focused and achievable. 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 More ❯

We are hiring a Senior Backend Engineer to join a fast-growing sustainable construction tech space company. The company is using data-driven technology to reduce waste and carbon emissions in the global concrete supply chain. Key responsibilities: Build and optimise backend services using modern, event-driven architecture on AWS Work on new features, APIs, performance tuning, and CI …/CD improvements Collaborate closely with Data Science to deploy ML workloads in streaming systems Influence architecture and own key infrastructure components Key Skills: Five years with TypeScript and AWS Strong experience with Lambda, Kinesis, EventBridge, and CDK v2 Strong attention to detail and ability to work independently Python experience Familiarity with JIRA and Confluence Hybrid – 2 days More ❯

fintech startup revolutionizing financial experiences! With headquarters in New York and offices in London, we’re crafting AI-driven solutions that empower consumers. By leveraging cutting-edge technology, unique data, and agile processes, we're transforming how people interact with their finances. 💡 About the Role: We’re looking for an innovative AI Product Manager to lead the charge in … this might be the perfect fit! 🔑 What You’ll Do: Own the Product Vision: Define and execute strategies for AI-powered solutions. Drive Innovation: Partner with tech, design, and data teams to bring products to life. Research & Roadmap: Analyze fintech markets, emerging trends, and shape roadmaps. Experiment & Optimize: Test new ideas, gather user feedback, and make impact-driven decisions. … innovative digital products. 🔍 AI Knowledge: Familiarity with machine learning concepts and application limitations. 🌍 Industry Fit: Experience working in high-growth fintech or tech startups. 🤝 Team Player: Work across engineering, data science, and design teams to deliver magic. 🧠 Skills: Strong strategic thinking, problem-solving, and communication abilities. 🌟 Bonus Points For: ✅ Fintech-specific AI product development experience. ✅ Familiarity with US More ❯

Location - Bristol, London or Manchester Salary - £38,500 - £50,000 Our Data Engineers enable public sector organisations to embrace a data-driven approach by providing data platforms and services that are high-quality, cost-efficient, and tailored to the clients’ needs. They develop, operate, and maintain these services. They make sure they provide maximum value to data … of the country by using technology to improve society, for everyone. We want to empower the public sector to deliver and continuously improve digital services that are user-centric, data-driven and freed from legacy technology. A key component of this is developing modern data systems and platforms that drive informed decision-making for our clients. As a … Data Engineer, you'll play a hands-on role as a contributor to client projects, focusing on both delivering engineering work as well as upskilling members of the client team. As a member of the data capability within Made Tech, you will also participate in our hiring process and continued development of the team, as well as representing More ❯

the office THE COMPANY This digital marketing agency/consultancy is well-known in the industry, and has an exciting opportunity here for someone to take ownership of their data and analytics function! THE ROLE As an Analytics Director, you can expect to be involved in the following: Leading a team of 2, and working directly with clients from … a strategic and hands-on perspective Building out their data and analytics capability and practice based on where clients are going Leading projects across customer data science, MMM, propensity modelling, attribution modelling, and digital analytics Researching into where AI agents can be used on a variety of different projects Utilising a variety of different tools such as More ❯

role, along with a flexible hybrid working model. Role and Responsibilities Lead and grow a small but talented engineering team (2-3 engineers) Own and evolve key systems, including data ingestion from platforms like Deliveroo, Uber Eats, and JustEat Build and maintain self-serve dashboards and web apps for kitchen operators and food brands Develop and deploy AI-powered … solutions for food quality control, anomaly detection, and kitchen management Automate manual workflows in kitchen operations, leveraging cutting-edge AI tools Collaborate closely with founders and the AI/Data Science engineer to shape product and technical strategy Stay hands-on with development, spending most of the time coding and problem-solving Foster a culture of innovation, rapid … iteration, and continuous improvement Essential Skills and Experience Proven software engineer with strong expertise in data engineering and system integrations Architectural skills with the ability to design scalable, stable systems from the ground up Experience building and managing small engineering teams Familiarity with AI-native development tools and a passion for leveraging AI in practical applications Highly motivated, curious More ❯

Lead Data Scientist Up to £90,000 London (Remote/Hybrid) Company: Join a global financial platform offering fast, secure, and affordable money transfers, multi-currency wallets, and essential banking services worldwide, all within one app. You’ll be responsible for designing, building, and optimising credit and risk scoring models that drive key financial decisions across global markets. Responsibilities … Lead the development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience Analyse credit performance … data to generate actionable insight and support strategic decisions Mentor and develop a small team of analysts/data scientists as the team scales Work closely with Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in Computer More ❯

Data Scientist (Market Research) Up to £60,000 London (Remote/Hybrid) Company: Join consulting and advisory firm that works on political research in both the UK and US to solve complex business challenges. Their mission is to help clients improve performance, adapt to change, and achieve sustainable growth across various industries. Responsibilities: Working with market research datasets, including … primary quantitative survey data and complex, messy data sources like census data. Maintain and develop a library of reusable R functions that support our market research work. Run and build on regression, segmentation, and SRP models Build election models that inform key decisions. Deliver actionable insights around political trends, reputation, and crisis response. Requirements: MSc or PhD Degree … in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in R and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this role does not offer visa sponsorship** How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

managed, and optimized. Our technology enables real-time tracking of concrete properties, enhancing quality control, efficiency, and sustainability across construction projects. With a strong focus on innovation, automation, and data-driven insights, Company Confidential empowers clients to reduce material waste, improve operational performance, and drive cost efficiencies. As we continue our global expansion, we are looking for dynamic professionals … at Company Confidential Are you ready to shape the future of construction technology? Company Confidential is seeking a visionary Director of Product to lead the charge in delivering innovative, data-driven solutions that redefine the ready mix ecosystem. As our Director of Product, you’ll: Define and drive a strategic product roadmap aligned with global customer needs Lead product … discovery and innovation using AI and data science Collaborate cross-functionally with Engineering, Sales, R&D, and Customer Success Champion user feedback and performance metrics to continuously evolve our product suite Influence go-to-market strategies and competitive positioning We're looking for a dynamic leader with: Proven experience in SaaS or industrial tech product leadership A strong More ❯

solutions, working across reserving, capital, and exposure management, and also provide essential 2nd line risk validation support. I am looking to speak to candidates with an an interested in Data Science with good python and SQL skills to lead this exciting team. Any GI background is welcomed - Pricing, Reserving or Capital. Please reach out for more details: rafaela.fakhre More ❯

experience in end to end, Systematic Trading and Execution. We are looking for 'Top of their class' graduates and experienced traders with strong academic background in Mathematics, Statistics or Data Science with a passion for Trading. We offer you the chance to work with fellow genius within a nurturing and elegant business environment. As well as academic excellence More ❯

bring structure to chaos — and you’ve got experience in AI, ML or research-driven teams — this one's for you. The must-haves: Strong technical background (ML, LLMs, data science or AI research) End-to-end programme/project delivery experience Confident communicator — you’ll be dealing with researchers, engineers, product, legal and more The gig: You … ll join a world-class AI research team working on next-gen ML agents and LLMs. Think experimental work at the intersection of science and engineering. Your job? Own the project delivery lifecycle. Set structure. Create clarity. Unblock the team. You’ll plan, prioritise, coordinate and document — and be the operational glue that helps the research land. Perks and More ❯

Senior Data Scientist - Credit Risk London – Hybrid Up to £80,000 + Benefits Our client is a high-growth fintech revolutionising consumer finance through cutting-edge technology and data science. Backed by top investors and consistently rated as a market leader, they are transforming the way loans, credit cards, and financial products are delivered - offering customers faster, more … transparent, and seamless experiences. As a Senior Data Scientist, you’ll play a pivotal role in developing proprietary risk models that drive strategic decision-making and product innovation. Working within a multidisciplinary team, you’ll apply advanced machine learning techniques to improve underwriting quality and enhance financial product offerings. Key Responsibilities Build and refine credit risk models using state … of-the-art ML techniques. Translate business challenges into data-driven solutions. Deploy and monitor models autonomously, without reliance on a separate ML engineering team. Clearly communicate insights and recommendations to stakeholders. What We’re Looking For Strong Python experience, with knowledge of ML techniques. Familiarity with the credit industry, financial products, and data-driven risk modelling. Experience More ❯

Associate Data Scientist Up to £120,000 London (Hybrid, 4 days onsite per week) Company: Join one of the world’s leading private equity firms, with a strong global presence and have partnered with hundreds of businesses across a wide range of sectors to support long-term growth and transformation. They combine deep industry expertise with a hands-on … collaborative approach - making it a dynamic environment for ambitious professionals looking to make a real impact. Responsibilities: Support the investment and deal teams by delivering deep, data-driven insights into potential acquisition targets. Responsible for evaluating market dynamics, identifying growth opportunities, and building predictive models to assess financial and operational performance. Your analysis will play a critical role in … informing high-stakes decisions on multi-million (and often billion)-pound deals. Collaborate with internal teams to deliver commercial and operational due diligence Be at the forefront of identifying data-led value creation strategies across the private equity lifecycle. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in More ❯

Senior Data Scientist Location: London Salary: Up to £80,000 About the Company Our client is one of the UK’s fastest-growing fintech companies, revolutionizing consumer finance by making it faster, cheaper, and more transparent. Backed by leading investors and loved by customers, they’ve rebuilt key financial products like loans, credit cards, and car finance from the … ground up. With a strong foothold in the UK and US markets, they are challenging big banks and outdated systems with cutting-edge technology. The Role As a Senior Data Scientist, you’ll be at the heart of the business, developing state-of-the-art credit risk models to underpin loan and credit card products. You’ll work with … serves deployments and monitoring, without reliance on a separate ML engineering team. Key Responsibilities Develop proprietary risk models to improve underwriting quality and enhance decision-making. Understand the products, data, and strategies to effectively inform risk modelling. Translate business problems into data-driven solutions and clearly communicate insights. Collaborate with stakeholders and contribute to the team’s growing More ❯

uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. Share updates internally More ❯

uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. Share updates internally More ❯