951 to 975 of 1,726 Data Science Jobs in London

consumer platform with a large, engaged user base — connecting millions of consumers with leading brands across fashion, tech, lifestyle, and education . Active in 100+ markets , this business is data-first and digital at its core, driving innovation through experimentation, advanced analytics, and actionable insights. This is a fantastic opportunity to contribute to a high-growth, international environment where … Hands-on experience with Python and SQL Ability to communicate complex findings clearly to non-technical stakeholders — influencing decision-makers across the business A background in Mathematics, Statistics, Economics, Data Science, or a similar quantitative field Experience in fast-moving, data-rich environments (consumer platforms, eCommerce, marketplaces, or similar sectors a bonus) Apply Below More ❯

consumer platform with a large, engaged user base — connecting millions of consumers with leading brands across fashion, tech, lifestyle, and education . Active in 100+ markets , this business is data-first and digital at its core, driving innovation through experimentation, advanced analytics, and actionable insights. This is a fantastic opportunity to contribute to a high-growth, international environment where … Hands-on experience with Python and SQL Ability to communicate complex findings clearly to non-technical stakeholders — influencing decision-makers across the business A background in Mathematics, Statistics, Economics, Data Science, or a similar quantitative field Experience in fast-moving, data-rich environments (consumer platforms, eCommerce, marketplaces, or similar sectors a bonus) Apply Below More ❯

/or Counterparty Credit Risk with an in-depth understanding of CRR regulatory requirements and upcoming Basel. Successful candidates will also bring technical skills in Python, SQL, Tableau, and data analytics, along with professional certifications like CPA, CIA, FRM, or CFA. Excellent communication, analytical, and interpersonal skills are critical for collaborating with teams, influencing stakeholders, and delivering high-quality … Finance, Risk Management, or a related field Relevant professional certifications such as CPA, CIA, FRM, or CFA, or equivalent career experience in audit or risk management roles Proficiency in data analytics and coding, with experience in tools like Tableau, Python, SQL, and other data science techniques Excellent communication, analytical, and interpersonal skills to collaborate effectively with stakeholders More ❯

a dynamic self-starter to join their innovative team in the heart of London. If you thrive in a fast-paced environment and want to contribute to cutting-edge data science applications, this is the perfect opportunity for you! About Client: Our client is a leading global payments technology company that enables businesses of all sizes to accept … geographies. They handle billions of transactions annually, offering secure, scalable solutions that support innovation in the financial ecosystem. With deep industry expertise, they empower merchants to grow through advanced data insights and reliable infrastructure. What You'll Do : Design, develop, and deploy machine learning models that solve real-world problems. Collaborate with cross-functional teams to improve production systems … and ensure seamless integration of ML models. Drive the ML life cycle from data ingestion to model deployment and monitoring. Implement CI/CD pipelines and leverage DevOps practices to enhance operational efficiency. What You Need : A relevant BSc/MSc degree in a related field with strong industry experience. Proven expertise in ML engineering and MLOps, with a More ❯

businesses we support span the globe. We cover several functional domains including front-end tooling, pricing, low latency market making, algorithmic execution, automated hedging, low latency order and market data connectivity, risk-management and STP. As such, we are a diverse group of project managers, business analysts, and developers (front-end and back-end). Our systems facilitate the … Required qualifications, capabilities and skills: • Understand Core Java, Spring, Design pattern, Unit Testing, Threading and Messaging • Understand Modern Software Architecture and framework, interests in Cloud computing, Machine learning and Data Science Skills • Understand Multi-Threading, Realtime system implementation • Understand Low-Latency event-driven systems • Understand Design Patterns and Software Architectures • Understand Fundamental computer science principles including operation … system, network, data structure and algorithm • Professional experience on Trading application in Fixed-Income, Macro, Equities, Credit • Professional experience working with Traders, Sales and Operation • Energetic, motivated, and determined About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our More ❯

and customer support, to gather feedback, align roadmaps, and ensure successful product launches. This role involves significant interaction with commercial teams. Performance Monitoring : Monitor and analyze product performance, using data-driven insights to improve functionality and user experience. Qualifications Education : Bachelor's degree in Computer Science, or a related field. Experience : 7+ years experience in product management, preferably … least three of the following products/technologies: Product Recommendations Search & Merchandising Large Language Models (application in fashion-related tasks) Computer Vision/Image Recognition A/B Testing Data Science Pipelines Content Personalization (CMS, DXP) Communication Skills : Strong communication skills (verbal and written), with comfort and experience in public speaking, essential for cross-domain collaboration and interaction More ❯

Backed by banks (JP Morgan, Citi, Barclays, Lloyds, BNP) and ratings agencies, Acin helps banks objectively manage their risk control landscape. Based on a network of peers, Acin's data protocols connect a bank's risk control data across their firm and industry leading to greater cost savings, and creating huge efficiency savings across the bank both in … years of related experience required, or an equivalent combination of education and experience. Excellent verbal and written communication skills. Bachelor's degree in a related discipline such as Computer Science, Information Technology, Mathematics, Statistics, Business, Data Science or Engineering preferred. Ability to work both independently and as part of a team. Experience supporting Azure applications. Strong understanding More ❯

accurate, and impactful decisions. The role will focus on reporting, analysis, and facilitating business reviews across our business teams. We are looking for a candidate with a passion for data, analytics, insights and technology who is eager to have a broad impact across one of the fastest growing e-commerce businesses in the world. About the team We are … central Amazon Business Marketing Analytics (ABMA) team for WW AB Marketing team. Our vision is to simplify and accelerate data driven decision making for AB Marketing by providing cost effective, easy & timely access to high quality data. Our core responsibilities towards AB marketing includes a) providing systems(infrastructure) & workflows that allow ingestion, storage, processing and querying of data b) building ready-to-use datasets for easy and faster access to the data c) automating standard business analysis/reporting/dashboarding d) empowering business with self-service tools for deep dives & insights seeking. The value construct of these capabilities is to enhance the speed of business decision-making by reducing the effort & time to access actionable More ❯

We are looking for a Research Scientist to join our Data Science Team as we scale up and drive digital and financial inclusion across our markets. The Impact Your algorithms will directly unlock financial opportunities for millions of people across Africa who've been excluded from traditional banking. We've already helped over 5 million customers access $1.5 … financial access What You Need Hands-on experience or Academic Publication in generative models (VAEs, GANs, diffusion models, or related methods) Advanced expertise in mathematics, statistics, and theoretical computer science Experience with deep learning, reinforcement learning, or specialised Machine Learning domains Experience with structured or unstructured data Proven ability to translate research into scalable algorithms Ideally a publication … UTC -1/UTC+3) with a diverse group of other employees working remotely from locations such as UK, Europe and Africa. You will be reporting to the Head of Data Science. Why M-KOPA? At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual More ❯

agency capabilities in order to lead large multi-disciplinary teams of people to successfully deliver integrated client solutions. Job Specification Job Title: Converged Senior Product Manager Reporting To: Chief Data and Product Officer Role Description: This new role is centered around managing the adoption and development of the UK Converged product for our internal teams and clients across the … Havas Creative Network in the UK. This requires knowledge of how data is used to support creative decision making, from insight generation to creative development, and a hands-on approach to developing data-first approaches for building a communications strategy. You should have a strong problem-solving nature, understanding how we can use our existing data, tools … and capabilities to address key client challenges, as well as a creative flair for using data in new and innovative ways. In the complex world of data and analytics, storytelling is key to land these data-driven solutions in a meaningful way. You should therefore have a strong background in data storytelling and building relationships both More ❯

credit strategy across one of its key markets. This role offers a unique opportunity to join a mission-led business that’s reinventing finance for small businesses through smart, data-driven decisioning. ABOUT THE COMPANY This innovative lender empowers small businesses by delivering fast, flexible funding solutions. Built on proprietary technology and deep credit expertise, the company has supported … focused on positive impact. THE ROLE As Senior Credit Risk Manager, you'll take a lead role in managing the enhanced underwriting portfolio in a strategic European market. Blending data science, manual assessment, and strategic oversight, your goal will be to optimise credit decisions and portfolio performance. Key Responsibilities: Lead day-to-day performance monitoring and strategic oversight … credit models, workflows, and manual decision strategies. Review portfolio performance and credit metrics, investigating deviations and ensuring alignment with risk appetite. Collaborate closely with cross-functional teams including analysts, data scientists, and commercial stakeholders. Identify risks and gaps in systems, data, and processes – and propose robust solutions. Support investor performance by optimising risk-return decisions. Set the credit More ❯

credit strategy across one of its key markets. This role offers a unique opportunity to join a mission-led business that’s reinventing finance for small businesses through smart, data-driven decisioning. ABOUT THE COMPANY This innovative lender empowers small businesses by delivering fast, flexible funding solutions. Built on proprietary technology and deep credit expertise, the company has supported … focused on positive impact. THE ROLE As Senior Credit Risk Manager, you'll take a lead role in managing the enhanced underwriting portfolio in a strategic European market. Blending data science, manual assessment, and strategic oversight, your goal will be to optimise credit decisions and portfolio performance. Key Responsibilities: Lead day-to-day performance monitoring and strategic oversight … credit models, workflows, and manual decision strategies. Review portfolio performance and credit metrics, investigating deviations and ensuring alignment with risk appetite. Collaborate closely with cross-functional teams including analysts, data scientists, and commercial stakeholders. Identify risks and gaps in systems, data, and processes – and propose robust solutions. Support investor performance by optimising risk-return decisions. Set the credit More ❯

projects in less time than you thought possible. - Get hands-on with a range of technologies and practice a range of disciplines: back-end, front-end, DevOps, machine learning, data science, data architecture. We are curious generalists who don't pigeon-hole ourselves as particular "flavours" of engineer and never say "that's not my job". … including object-oriented design - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations - Bachelor's degree in computer science or equivalent and/or relevant professional or military experience Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. … We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon More ❯

credit strategy across one of its key markets. This role offers a unique opportunity to join a mission-led business that's reinventing finance for small businesses through smart, data-driven decisioning. ABOUT THE COMPANY This innovative lender empowers small businesses by delivering fast, flexible funding solutions. Built on proprietary technology and deep credit expertise, the company has supported … focused on positive impact. THE ROLE As Senior Credit Risk Manager, you'll take a lead role in managing the enhanced underwriting portfolio in a strategic European market. Blending data science, manual assessment, and strategic oversight, your goal will be to optimise credit decisions and portfolio performance. Key Responsibilities: Lead day-to-day performance monitoring and strategic oversight … credit models, workflows, and manual decision strategies. Review portfolio performance and credit metrics, investigating deviations and ensuring alignment with risk appetite. Collaborate closely with cross-functional teams including analysts, data scientists, and commercial stakeholders. Identify risks and gaps in systems, data, and processes - and propose robust solutions. Support investor performance by optimising risk-return decisions. Set the credit More ❯

as a Senior Analytics Engineer At Accurx, we are taking the company's self-serving capabilities to the next level and are looking for a talented analytics engineer with data modelling experience to join us!We want our users and everyone at Accurx to have access to the data they need to make data-informed decisions every … day. We can only do that if our data is centralised, clean, and our models are up to gold standards. You'll work closely with your fellow team members in our data functions to ensure that happens and with the wider company to understand stakeholders' pain points when accessing data and propose self-serving solutions. Your day … to day tasks, should you choose to accept this mission You'll maintain the presentation layer of our data warehouse for reporting and analysis, including databases, schemas, views and tables. You'll build well-tested, up-to-date and documented data models that the rest of the company can use to answer their questions. You'll work closely More ❯

of AI/ML-powered features such as personalization engines, recommender systems, and predictive product experiences using regression and inference models. Champion product discovery through experimentation, user research, and data-driven hypothesis testing to validate new opportunities and de-risk investments. Collaborate closely with data science teams to define model requirements, evaluate performance, and translate insights into … success in integrating ML capabilities such as personalization, recommendation systems, and predictive modeling into customer-facing products. Deep understanding of Agile methodologies and product lifecycle management. Strong grasp of data science principles, regression and inference modeling, and the scientific method. Accommodation requests If you need assistance with any part of the application or recruiting process due to a More ❯

and Faculty's commercial ambition to build safe AI systems. This is a great opportunity to join a small, high agency team of machine learning researchers and practitioners applying data science and machine learning to business problems in the real world. What you'll be doing Your role will evolve alongside business needs, but you can expect your … of machine learning, with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and an experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.) The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring More ❯

Who we are We are an energy trading company generating liquidity across global commodities markets. We combine deep trading expertise with proprietary technology and the power of data science to be the best-in-class. Our understanding of volatile, data-intensive markets is a key part of our edge. At Dare, you will be joining a team … frameworks. Producing ad-hoc risk analysis for the team, desks, and senior management. Liaising with Trading and Tech teams, supporting daily market activities. Validating the accuracy and effectiveness of data sources used to produce various risk reports. Building and maintaining risk infrastructures, and ensuring documentation and controls are updated accordingly Investigating when required abnormal data points by requesting … further information from the Trading desks (e.g. hedging strategies), Tech team (e.g. data workflow), Exchange (e.g. Initial margin models), Clearers (e.g. Haircut Model), and other financial counterparties. Using a combination of Python, VBA, SQL, Tableau and other coding languages to enhance, automate and visualise key information/metrics sent to Trading and Senior Management. Participating in firm-wide initiatives More ❯

AI community and keep in touch with the latest developments in AI. Candidate Profile Essential Skills Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python software development skills (nice to have C other languages). … months ago London, England, United Kingdom 1 week ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 months ago Data Scientist (Applied Machine Learning) London, England, United Kingdom 1 month ago London, England, United Kingdom 2 weeks ago Machine Learning Software Engineer, Research London, England, United Kingdom 1 month More ❯

Identifying platform bottlenecks and driving actionable solutions to address them. Adding functionality to support new asset classes and improve platform scalability. Requirements: BS/MS/PhD in Computer Science or a related field. 3+ years of experience as a Quant Developer or in a similar role. Strong programming skills in Python and C++. Experience with Python data science tools (Pandas, Numpy, Scikit-learn). Exceptional coding, debugging, and analytical abilities. Strong problem-solving and communication skills. Ownership mentality with the ability to multitask effectively. Commitment to writing clean, well-tested, and automated code. Why Join? This is more than just a job - it's an opportunity to work with a globally recognized hedge fund that More ❯

Identifying platform bottlenecks and driving actionable solutions to address them. Adding functionality to support new asset classes and improve platform scalability. Requirements: BS/MS/PhD in Computer Science or a related field. 3+ years of experience as a Quant Developer or in a similar role. Strong programming skills in Python and C++. Experience with Python data science tools (Pandas, Numpy, Scikit-learn). Exceptional coding, debugging, and analytical abilities. Strong problem-solving and communication skills. Ownership mentality with the ability to multitask effectively. Commitment to writing clean, well-tested, and automated code. Why Join? This is more than just a job - it's an opportunity to work with a globally recognized hedge fund that More ❯

democratising access to AI-driven automation. Key Responsibilities: Model Development: Design, train, and deploy machine learning models for computer vision use cases such as object detection, classification, and segmentation. Data Handling: Collaborate with data engineers to manage large datasets, ensuring quality data pipelines for model training and evaluation. Algorithm Tuning: Optimise model performance through experimentation with architectures … as needed. Research & Innovation: Keep current with advances in ML and CV, and apply new methods to solve business problems. Your Profile: Master’s degree (or equivalent) in Computer Science, Machine Learning, or a related field. 3+ years of experience deploying ML models in production. Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience working with cloud … months ago London, England, United Kingdom 1 month ago London, England, United Kingdom £50,000.00-£60,000.00 1 month ago London, England, United Kingdom 1 day ago Associate (Data Scientist) - London, Wroclaw Harrow, England, United Kingdom 8 hours ago Greater London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago Machine Learning Engineer for Game More ❯

if you would like to help us prevent crime and protect the world's biggest online businesses. The Team You will be joining the Detection team, a team of data scientists and machine learning engineers. The Detection team is responsible for keeping fraud rates low - and clients happy - by continuously training and deploying machine learning models. We aim to … error-free as code deployments. Google's Best Practices for ML Engineering is our bible. Our models are trained to spot multiple types of fraud, using a variety of data sources and techniques in real time. The prediction pipelines are under strict SLAs; every prediction must be returned in under 300ms. When models are not performing as expected, it … s down to the Detection team to investigate why. The Detection team is core to Ravelin's success. They work in a deeply collaborative partnership with the Data Engineering team to design the data architecture and infrastructure that powers our ML systems. This close alignment ensures our models are built on a foundation of high-quality, reliable, and More ❯

A Director, Advanced Analytics Overview: Overview: The Services Business represents over a third of Mastercard revenues and is a key differentiator for Mastercard. Services uses our unique and proprietary data, technology, insights and expertise to deliver solutions that meet the needs of our customers. Services is critical for the sustained, long-term growth of Mastercard. Within the Services organization … this role supports the Advanced Analytics (AA) organization. The Advanced Analytics area leverages cutting-edge AI and data science techniques to address complex business challenges, focusing on areas such as marketing, credit risk and business experimentation, providing innovative solutions that drive decision-making & operational excellence. Role: This role focuses on strategy for our AA product suite. Responsibilities include More ❯

Technical Recruiter - 12-month FTC Hybrid in London, UK We're looking for a Technical Recruiter. You will map, source and hire exceptional software engineers, data scientists and product professionals who raise the bar within high-performing teams. The company Imagine a world where every small business has the power to thrive. That's the world we're building … s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities … we ensure businesses get the funds they need - often within minutes. The team Our Tech Talent team hires software engineers, data scientists, and product professionals with a data-driven, objective approach that prioritises quality, fairness, and consistency in our recruitment processes. We use systems like Ashby, LinkedIn Recruiter, and Welcome to the Jungle (Otta) for hiring, and harness More ❯