151 to 175 of 325 Data Science Jobs in the City of London

Role: Head of Data As Head of Data, your mission is to make sure that high quality and timely data drives the big decisions. You will lead the data team in ensuring our data infrastructure and data modelling is accurate, cost efficient and secure and that end users have accurate, timely and trusted data. … Experience Experience in the financial services or payments industry, ideally with exposure to B2B payment platforms or fintech companies. Demonstrated success in building and leading cross-functional data teams in dynamic, fast-paced environments. Ideally as a data leader in a PE or VC backed company. Hands-on experience with data governance, regulatory compliance and risk management … in financial transactions. Expertise in data architecture, data modeling, and database management. Strong understanding of cloud-based data solutions. Experience with the tools we work with, or other equivalent ones (dbt, BigQuery, Stitch, Segment, Fivetran, Metabase, Apache Airflow). Education A bachelor’s degree in a relevant field such as Computer Science, Information Technology, Data More ❯

Job Title: Data Scientist Location: London (Hybrid/Flexible) Type: Permanent, Full-Time Overview We're looking for a proactive Data Scientist to join a high-impact team driving innovation in digital insurance underwriting. This role will support the expansion of data-led initiatives, with a focus on improving profitability and automation across digital insurance products. You … ll collaborate with underwriters, actuaries, analysts, and engineers to turn complex data into actionable insight, build models, and help shape the future of digital insurance trading. What You’ll Do Analyse internal and external data to support risk modelling, pricing, and performance tracking Develop data science solutions using Python and statistical techniques to support automation and … optimisation Build dashboards and visual tools to surface insights and trends Work alongside actuarial teams to enhance pricing strategies and portfolio analysis Translate business needs into data requirements, collaborating with IT and engineering Stay up to date with new tools, techniques, and best practices in data science What We’re Looking For Solid experience in data More ❯

Senior Data Scientist London - hybrid Competitive Salary This dynamic and fast-paced global investment firm are looking for a Senior Data Scientist to join their existing team of experts, reporting into their Head of Data Science. This person will work closely with senior stakeholders and other team members focusing on due diligence. THE ROLE As a Senior … Data Scientist for the business you will: • Scope data science projects within the due diligence and value creation teams • Oversee projects, working with more junior data scientists in the team to use technical expertise to solve business problems • Build and deploy machine learning models using Python and cloud technologies SKILLS AND EXPERIENCE • Master’s Degree in … a relevant subject • Several years of commercial experience in Data Science, specifically within the PE or Strategy Consulting industries • Experience deploying models into production • Good communication skills • Tech: Python, SQL, Cloud-tech SALARY AND BENEFITS • Competitive salary • Hybrid working – London office x4 days per week • Performance based Bonus and Benefits package HOW TO APPLY Please register your interest More ❯

Senior Data Scientist x2 days a week in office Xcede is thrilled to be partnering with one of the world's leading tech companies as they expand their Data Science team. With millions of customers using their products daily, data is at the heart of everything they do. The Head of Data, a highly skilled … Data Scientist with a track record of building exceptional teams, is now focused on assembling another world-class group of experts. As part of this expansion, the company is looking to onboard a Senior Data Scientist with strong commercial experience in building Recommender Systems. Experience in designing and deploying Graph Models or Graph Neural Networks would be a … significant advantage. Responsibilities Work with senior colleagues and internal stakeholders to spot business opportunities to leverage data science techniques and add business value. Build relevant statistical/machine learning models-related projects. Build RecSys/Recommendation Engines/Recommender Systems/Recommendation Systems Communicate findings effectively to stakeholders to encourage adoption. Requirements A STEM/Computer Science More ❯

they broaden their mandate, they are seeking top-tier talent to join their team in the Middle East. Reporting to the Chief Investment Officer, they are looking for a Data Analyst to be responsible for extracting, organising, processing, cleaning and validating investment-related data from multiple sources. The objective is to present this data in a clear … accurate and exhaustive manner in order to facilitate timely investment decisions. Roles & Responsibilities: Enhancing data collection procedures in their systems to include information that is relevant for building analytic systems and managing their portfolio of investments Processing, cleansing, and verifying the integrity of data used for analysis Ensuring the availability, quality and security of data used by … the Investment Team Data mining using state-of-the-art methods and extending company’s data with third party sources of information when needed Investigating and interpreting data to identify actionable insights and opportunities for improvement of the performance of our portfolio of investments Doing ad-hoc analysis and presenting results in a clear manner Presenting findings More ❯

Are you passionate about data and AI? Do you want to apply your skills in a cutting-edge venture capital environment? Do you want to join a fantastic team based in London that invests in the next generation of breakthrough technologies? Are you passionate about leveraging data and AI to improve decision making, operational workflows and internal systems … We’re looking for an intern to support our team in enhancing our workflows using data and AI tools. This is a paid internship. What you’ll do Work with structured and unstructured data to extract insights. Develop and refine AI-driven workflows to improve efficiency. Support internal research with data-driven analysis. Identify and experiment with … automation tools. What we’re looking for Student in STEM at a top university, with experience in programming and data manipulation. Experience with Python, SQL, and relevant ML/AI libraries. Familiarity with LLMs and AI-powered automation tools. Strong analytical and problem-solving skills. Previous work experience using data science and AI in a corporate environment. More ❯

About: You will lead a team of data analysts, BI business process experts and BI analysts, who will benefit from your experience in coaching and your knowledge of the data and analytics domain. The Data Fabric team will ensure that your team has access to all relevant information and their skilled data engineers will develop the … data pipelines for the projects in your team. Your team can further rely on a central competence and assistance of data science and business intelligence. Do you like new challenges that test your earlier experience in marketing? You will work closely together with the product managers and business development managers of our marketing department. You will collaborate … with them to ensure that the development and analysis roadmap of your team reflects their requirements. Your team will mainly be using SAS and PowerBI, in combination with data pipeline development and analysis on the Azure cloud, using Databricks. The coding language used is Python. An earlier experience with these tools and languages will help you to coach your More ❯

Data Scientist (one day a week in the central London office) Sports Analytics This role is a unique opportunity for a Data Scientist to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this team, you’ll not only be part of a creative and open work culture focused on innovation and excellence … making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed … stakeholders. Collaborate with football analysts, coaches, and other stakeholders to understand their needs and provide actionable insights. Stay updated with the latest trends and advancements in sports analytics and data science. As the selected Data Scientist, your background will include: 3+ years industry experience in a Data Science role and a strong academic background Python Data More ❯

Data Governance Analyst - Analytics - London Data governance analyst required to focus on data governance, cataloguing key data outputs, and supporting the implementation of data frameworks across the organisation. You'll work with various stakeholders to ensure compliance with regulatory standards like BCBS 239 and enable the organisation to make the most of its data. Client … Details Data Governance Analyst - Analytics - London The client is a global financial services organisation with a strong presence in Europe, committed to delivering innovative and sustainable solutions. They value inclusivity and collaboration, offering opportunities to work on meaningful projects in a dynamic and supportive environment. Description Data Governance Analyst - Analytics - London Responsibilities: As a Data Governance Analyst … you'll : Identify and catalogue Key Data Outputs across all departments. Work with Key Data Output owners to plan and track remediation actions. Support the development and maintenance of the data catalogue using Collibra. Ensure KDOs meet regulatory and governance standards, including BCBS 239. Work with stakeholders across the business to understand key metrics and data More ❯

Senior Data Scientist (GenAI) required for a London, globally known software business with hybrid working. I am working with a large Global software organisation to join their team in London, where you will be working on developing world-class products and services in a hugely innovative environment. The company: The organisation has been around for over 20 years and … to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental approach. You'll be involved in the entire data science lifecycle, from defining problems and exploring data to developing and evaluating models. You will also work closely with engineering teams to ensure the smooth deployment, monitoring … deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers More ❯

Job Title: Data Engineering Manager Job Type: Full Time, Permanent Location: London, Hybrid Role Purpose At Travelex we are developing modern data technology and data products. Data is central to the way we define and sell our foreign currency exchange products. Our relationship with our customers is deeply data-driven. The data engineering manager … DEM ) owns the design and delivery of all data flows to and from our data platform, underpinning crucial data products. The DEM is responsible for a significant transformation Travelex is going through, with event-driven and transactional enhancements to our enterprise data architecture, alongside expansion of our data warehousing function to support a wide range … of data integrations. Main Responsibilities: Leadership & Strategy Work with the Director of Data Engineering and IT Leadership to enhance the company's data maturity. Maintain strong business alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team More ❯

Company: My client are a fast-growing fintech transforming how people manage and move money. As a Data Engineer, you’ll play a pivotal role in building and scaling the data infrastructure that powers everything from real-time fraud detection to personalized financial insights. Key Responsibilities: Design, build, and maintain scalable data pipelines (batch & streaming) Work with … Data Scientists and Analysts to enable fast, reliable access to data Optimize our data architecture for performance, reliability, and cost Collaborate with engineers to integrate data best practices across teams Champion data quality, governance, and documentation Key Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms … AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in a fintech or regulated environment is a plus Benefits: Join a collaborative, mission-driven team at the cutting edge of finance Hybrid working, flexible hours, and generous learning More ❯

Job Title: Solutions Architect (Data) Terms: Permanent, full-time Salary: c.£75,000 Employee Benefits: Local Government pension scheme, 31 days annual leave (plus Bank Holidays) Allen Lane is delighted to be supporting a London-based Local Authority in their search for a Solutions Architect . This is a new role in the structure, with a particular focus on … data architecture and data platforms . The postholder will own end-to-end solution designs, working closely with senior stakeholders cross the Council. We are looking for applicants that can demonstrate outstanding collaboration and engagement skills, communicating effectively will a diverse range of stakeholders up to and including Director level and with external partners. You will play a … critical role in leading the definition, design and delivery of modern data solutions and products. You will have excellent Cloud knowledge, either with Azure or AWS . Applicants are expected to demonstrate the following skills and experience against the following essential criteria: Relevant certifications (e.g. Azure Solutions Architect, Azure Data Scientist, Azure AI, Power Platform Solution Architect). More ❯

We’re looking for an experienced and entrepreneurial engineer to join as one of our first hires. This is a hands-on leadership role that combines deep data science and AI expertise, robust backend/data infrastructure development, and the opportunity to shape the technical DNA of our company. You’ll lead the buildout of our AI … systems and platform, shape our MLOps strategy, and ultimately grow and lead a world-class engineering team. What You’ll Do; Build core data infrastructure, pipelines, and ML systems from scratch using Python (70+%), GCP, AWS, and Kubernetes. Research & deploy advanced AI/ML models tailored to real-world use cases Own the full MLOps lifecycle: model development, deployment … monitoring, and iteration. Recruit & lead a high-performance team of engineers and data scientists. Collaborate closely with the co-founders and advisors to align tech execution with business goals. Help define technical culture, standards, and processes as a founding team member. What We're Looking For; 7+ years of hands-on experience in data science, software engineering More ❯

Senior C# Developer - Systematic Trading Firm | Up to £140K Base A high-growth systematic trading firm are searching for an experienced C# Developer to join their Data Applications team. This team sits at the heart of the business giving you exposure to many exciting areas. There is currently an abundance of ongoing and upcoming projects available, much of which … the opportunity to own from POC through to production. You'll work across a modern stack, and will have the opportunity to immerse yourself in M/L frameworks, data science tools, microservices, and web apps, amongst other data driven products. Company Highlights: Over £100bn AUM, trading a broad range of asset classes Software firm first - Massively … data and tech driven, ML/AI is integrated into all of their trading strategies Recently seen heavy investment in their software engineering stack meaning you would be joining a cutting edge environment Massive on collaboration - encourage cross team interactions, flat structure with access to the founder and C level individuals Free daily lunch and snacks Requirements: 10+ years More ❯

K Are you a Mid-Level Java Developer who wants to work with a rapidly scaling Tech business who are solving problems using the latest tools in Machine Learning, Data Science and Automation tools? A mid-level Java Developer is required to join an innovative and rapidly growing scale-up dedicated to optimizing performance for their clients using … cutting-edge automation tools, Data Science and machine learning technologies. Their mission is to revolutionize how businesses operate by delivering high-performance solutions that drive efficiency and effectiveness. We are a dynamic team of passionate professionals who thrive on solving complex challenges and pushing the boundaries of technology. Their core software product enables leading industrial organisations to improve … asset reliability and drives value in maintenance by applying data science and machine learning to reduce cost, minimise waste and increase efficiency. What makes this company special is a unique culture and how they collaborate to solve problems. Job Description: We are seeking a talented and experienced Full-stack Java Developer to join our team. As a Full More ❯

Data Analytics Engineer (Marketing data) 💰 £70,000-£80,000 + equity 🖥️ Snowflake, SQL, Google Analytics 🌍 London, 2-3 days a week in London office We are partnered with one the UK's most exciting e-commerce scaleups and supporting them on their search for a Marketing Data/Analytics Engineer. The role... This is a new specialist … role which sits within the central data function, comprising of data engineers, analytics engineers, analysts and data science/machine learning experts. This position is key to enabling cost efficient customer acquisition and retention through data. What you'll be doing... You will integrate and maintain martech data pipelines, scaling marketing channels in existing and … new geographies. You will architect and implement data models using SQL, Python and dbt. You will build and maintain martech targeting and reporting capability.. You will ensure internal metrics align with reporting in BI platform. You will work on managing, maintaining and debugging the web and app data and models in Snowflake and Lightdash, collaborating with the data More ❯

My client is a successful and fast growth data intelligence and security risk management tech company. They are now embarking on an innovative strategy integrating tech solutions to their strong data analytical capabilities, and are looking to hire a Software Team Lead to spearhead that strategy. Key responsibilities include: Lead and drive the design of robust, scalable, and … solutions Review and provide feedback on technical designs, requirements, and documentation Promote best practices across software engineering, with a strong focus on code quality, CI/CD, documentation and data governance best practices Interact with Data Science and Intelligence teams to help set development priorities and roadmap. This role will initially managing two engineers with plans to … architecture and technical solutions. Strategic planning and execution of projects, ensuring alignment with broader company objectives and vision. Extensive hands-on software engineering background, primarily based around their core data capabilities of Python, Databricks, AWS, Azure. Ideally, you will have a background of working within data analytics/data intelligence organisations. Strong experience designing, building, and supporting More ❯

ideal candidate will have a strong understanding of AI principles, machine learning algorithms, and natural language processing. Responsibilities: Develop and implement AI solutions to meet business needs Work with data scientists to gather and analyze data Train and evaluate machine learning models Design and develop natural language processing systems Integrate AI solutions with existing systems Monitor and maintain … the latest AI trends and technologies Job details: Full-time, completely remote 1 year contract, with possibility for extension Compensation based on Experience Qualifications: Master's degree in computer science, artificial intelligence, or a related field 5+ years of experience in AI development Strong understanding of AI principles, machine learning algorithms, and natural language processing Experience with Python, TensorFlow More ❯

Who are we? Bayezian is a dynamic data science consultancy on a mission to harness the power of Generative AI (Gen AI) and Large Language Models (LLMs) to transform our clients' products and services. Our Generative AI team is rapidly expanding, and we're excited to invite passionate individuals to join us on this exciting journey. At Bayezian … Gen AI products and providing consultancy services to our clients. You will report directly to our Head of Gen AI and collaborate with a talented team of developers and data scientists on a diverse range of projects primarily in the Life Sciences, but could be across multiple industries. You’ll work with the typical LLM stack, including frameworks and … OOP and SOLID principles What do we offer? Training and vocational coaching received during the initial employment and throughout your career with our client to accelerate your career in Data Science gaining qualification and certifications aligned to your development. Salary ranges between £30,000 and £35,000 based on experience. Company Pension. Wellbeing Plan (eye test, mental health More ❯

client success. Attend client meetings and eventually transition to a hybrid work model (2 days in-office, London). 🔑 What We're Looking For: Proven experience in econometrics and data analysis using tools like R or Python. Exceptional communication skills to translate complex insights into clear, actionable advice. Strong project management skills and a knack for relationship building. A … degree in a quantitative discipline (e.g., economics, data science, or statistics) and relevant industry experience. 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 ❯

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 ❯

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 ❯

in AI and software. Key Responsibilities: Identify and solve real-world problems rooted in manufacturing, operations, physics, and chemistry Develop and deploy software across the full tech stack—from data analysis and modelling to frontend/backend engineering Work closely with cross-functional teams both on-site and at HQ Rapidly iterate on prototypes and consolidate into robust production … grade tools You may be a good fit if you have: Experience in a technical, hands-on role such as software engineer, data scientist, or AI engineer Strong programming skills (Python, C/C++, Go, TypeScript, or Java preferred) A background in engineering, physics, computer science, or a related field A product-focused mindset and interest in delivering More ❯