Data Scientist Jobs in London, UK

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.   Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 850 experts from 69 countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.  

Data Scientist – Computational Genomics, 12-month FTC at Relationrx. Apply via Ashby.

<div class="content-intro"><p>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 for their customers. </p> <p><span style="color: #242424;">dunnhumby</span><span style="color: #242424;"> employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, </span>Nestlé, Unilever<span style="color: #242424;"> and Metro.</span></p> <p style="margin: 0in;"> </p></div><p>Joining the AI Strategy, Research & Enablement team, you’ll help shape the future of AI across the organisation. Working at the intersection of cutting-edge research and real-world commercial application, you’ll turn innovative ideas into scalable capabilities that influence products, platforms, and long-term strategy. You’ll collaborate with senior leaders and contribute to decision-making across data science, engineering, and product, helping to prioritise and advance the right AI investments for the future.</p> <p> </p> <p>We’re looking for a <strong>Senior Research Data Scientist</strong> to play a key role in developing dunnhumby’s next-generation models across a range of strategic AI initiatives. As part of this newly formed team, you’ll focus on advanced modelling, long-term capability building, and cross-industry collaboration. You’ll design new approaches, build and test prototypes, support engineering teams with productionisation, and contribute to partnerships with academia and external research organisations.</p> <p> </p> <p><strong>What you’ll be doing:</strong></p> <ul> <li>Drive the design, experimentation, and evaluation of transformer-based models on retail based challenges.</li> <li>Explore innovative architectures (e.g., sequence-to-sequence models, causal transformers, hybrid retrieval + transformer approaches) to deliver step-change improvements in personalisation, recommendations, and forecasting.</li> <li>Develop research-grade prototypes and collaborate with engineers to translate them into scalable, production-ready solutions.</li> <li>Conduct forward-looking research on generative AI, multimodal learning, and representation learning.</li> <li>Identify emerging AI/ML techniques with high potential for retail and consumer analytics, shaping conceptual prototypes and feasibility assessments.</li> <li>Drive internal thought leadership by defining standards, sharing knowledge, and advisi

<div class="content-intro"><p>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 for their customers. </p> <p><span style="color: #242424;">dunnhumby</span><span style="color: #242424;"> employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, </span>Nestlé, Unilever<span style="color: #242424;"> and Metro.</span></p> <p style="margin: 0in;"> </p></div><p>We’re looking for a <strong>Senior Applied Data Scientist</strong> who expects more from their career. This is an opportunity to apply your expertise to distil complex problems into meaningful, actionable insights -leveraging world-first science, cutting-edge machine learning techniques and human creativity to deliver impactful solutions for clients.</p> <p>Joining our advanced data science team, you’ll be responsible for the ongoing implementation, support and development of complex models and applications, working alongside exceptionally talented colleagues who are challenging and rewriting the rules rather than simply following them.</p> <p>Our team works closely with retailers to solve some of the most interesting and challenging problems in the category management space. We work collaboratively with our client leadership team and with our clients, to build solutions that are re-usable, scalable and deliver measurable value.  You’ll drive change, shape innovative solutions, and actively redefine how organizations harness data.</p> <p> </p> <p><strong>What we expect from you </strong></p> <ul> <li>Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field</li> <li>Strong programming skills — Python and SQL are essential; PySpark experience is highly advantageous</li> <li>Experience with version control tools (e.g. GIT)</li> <li>Solid understanding of analytical technologies, tools, and techniques</li> <li>Excellent logical thinking and problem‑solving abilities</li> <li>Strong communication skills, with the ability to explain complex concepts clearly to non‑technical audiences</li> <li>Proven experience in statistical modelling and applying data science solutions to real client problems</li> <li>A passion for connecting technical work to real customer outcomes, delivering clear and measurable impact</li> <li>Effective stakeholder management

<div class="content-intro"><p>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 for their customers. </p> <p><span style="color: #242424;">dunnhumby</span><span style="color: #242424;"> employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, </span>Nestlé, Unilever<span style="color: #242424;"> and Metro.</span></p> <p style="margin: 0in;"> </p></div><p>We’re looking for a <strong>Senior Applied Data Scientist</strong> who expects more from their career. This is an opportunity to apply your expertise to distil complex problems into meaningful, actionable insights -leveraging world-first science, cutting-edge machine learning techniques and human creativity to deliver impactful solutions for clients.</p> <p> </p> <p>Joining our advanced data science team, you’ll be responsible for the ongoing implementation, support and development of complex models and applications, working alongside exceptionally talented colleagues who are challenging and rewriting the rules rather than simply following them.</p> <p><br>Our team works closely with Tesco to solve some of the most interesting and challenging problems in the category management space. We work collaboratively with our client leadership team and with our clients, to build solutions that are re-usable, scalable and deliver measurable value.  You’ll drive change, shape innovative solutions, and actively redefine how organizations harness data.</p> <p><strong> </strong></p> <p><strong>What we expect from you </strong></p> <ul> <li>Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field</li> <li>Strong programming skills — Python and SQL are essential; PySpark experience is highly advantageous</li> <li>Experience with version control tools (e.g. GIT)</li> <li>Solid understanding of analytical technologies, tools, and techniques</li> <li>Excellent logical thinking and problem‑solving abilities</li> <li>Strong communication skills, with the ability to explain complex concepts clearly to non‑technical audiences</li> <li>Proven experience in statistical modelling and applying data science solutions to real client problems</li> <li>A passion for connecting technical work to real customer outcomes, delivering clear and measura

<div class="content-intro"><p>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 for their customers. </p> <p><span style="color: #242424;">dunnhumby</span><span style="color: #242424;"> employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, </span>Nestlé, Unilever<span style="color: #242424;"> and Metro.</span></p> <p style="margin: 0in;"> </p></div><p>We’re looking for an <strong>Applied Data Scientist</strong> who expects more from their career.  This is an opportunity to<strong> </strong>apply your expertise to distil complex problems into meaningful, actionable insights - leveraging world-first science, cutting-edge machine learning techniques and human creativity to deliver impactful solutions for clients.</p> <p>Joining our advanced data science team, you’ll be responsible for the ongoing implementation, support and development of complex models and applications, working alongside exceptionally talented colleagues who are challenging and rewriting the rules rather than simply following them.</p> <p>Our team works closely with Tesco to solve some of the most interesting and challenging problems in the category management space. We work collaboratively with our client leadership team and with our clients, to build solutions that are re-usable, scalable and deliver measurable value.  You’ll drive change, shape innovative solutions, and actively redefine how organizations harness data.</p> <p> </p> <p><strong>What we expect from you </strong></p> <ul> <li>Degree in Statistics, Maths, Physics, Economics or similar field</li> <li>Strong programming skills – Python and SQL are essential</li> <li>Experience with version control tools (e.g. GIT)</li> <li>Solid understanding of analytical technologies, tools, and techniques</li> <li>Logical thinking and problem solving</li> <li>Strong communication skills</li> <li>Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact</li> <li>Statistical Modelling and experience of applying data science into client problems</li> <li>Background in retail analytics (especially exposure to Category Management) is advantageous</li> </ul> <div class="copy-paste-block"> 

Snr Data Scientist, Computational Genomics/DNA Modelling at Relationrx. Apply via Ashby.

Senior Data Scientist – Statistical Genetics at Relationrx. Apply via Ashby.

<p>At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. </p> <p>Our unique data and solutions empower over 5,700 customers globally, including industry giants like Google, Meta, and OpenAI, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people.</p> <p> </p> <p><strong>About the Role</strong></p> <p>We’re looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, you’ll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. You’ll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.</p> <p> </p> <p><strong>What does the day-to-day of a Product Data Science (Data Labs) at Similarweb look like:</strong></p> <ul> <li>Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.</li> <li>Apply your expertise in quantitative analysis and data mining to turn data into insights.</li> <li>Conduct research and develop tools which will help answer client's’ business. questions by using Similarweb’s raw data sets and algorithms.</li> <li>Partner with Engineering teams to establish an infrastructure to scale solutions.</li> <li>Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly</li> </ul> <p><strong>This is the perfect job for someone who has:</strong></p> <ul> <li>At least 2 years experience with SQL/pySpark for data analysis - Must</li> <li>Experience in Python scripting - Must</li> <li>Excellent verbal and communication skills in English - Must</li> <li>AWS Infrastructure experience - Big Advantage</li> <li>Working with clients - Big Advantage.</li> <li>Proficiency in Online Marketing/Online Services - Advantage</li> <li>At least 2 years work experience in Online/Tech Company - Advantage</li> <li>Team player, autodidact, fast learner with excellent analytical, research and business skills.</li> <

Data Scientist | Hybrid – Herne Hill, South London | Full-Time | 54,000– 58,000 P.A. D.O.E. Want to work on the kind of data science problems most companies can’t solve? An innovative, fast-growing data science business is looking for a Data Scientist to join its highly technical team. Founded as a spin-out from a world-leading university research group, this is a rare opportunity to apply Bayesian statistics, machine learning and scientific com...

Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow,Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like: SonarQube: The world’s leading AI code review and verification platform. SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair. SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective. Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE: Committed to our customers and community. Obsessed with quality. Deliberate in our decisions. Effective as one team. With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you. Position description This role is the data team's dedicated analytical partner for Marketing. Your core job is to turn marketing data into decisions: diagnose what is working and what is not, explain why, and recommend where to spend the next dollar. You will own marketing attribution, ROI, and conversion analysis end to end, and you will be proactive about it, surfacing findings and opportunities before anyone asks. You will explore data, form hypotheses, and partner with our Data and Analytics Engineers to shape the models and pipelines you need. You will help define those models, but your primary measure of success is the quality and impact of your analysis. This role sits in the Data & Insights team and partners closely with Marketing, IT/Marketing Ops, Data Engineers, Analytics Engineers, and data scientists covering other domains.

Data Scientist, Safety at Openai. Apply via Ashby.

Data Scientist, Integrity Measurement at Openai. Apply via Ashby.