176 to 200 of 332 Data Science Jobs in the City of London

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 ❯

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 ❯

the way auditors and accountants work. This role involves accelerating the creation of the companies core product suite, helping to automate repetitive tasks and enable accountants to focus on data-driven insights and analytics. This position provides a fantastic opportunity to work in a small, focused and confident team, with mentorship from experienced developers and data scientists that … Collaborate with a small team of developers, contributing to daily code reviews and merge requests. Develop across the entire product stack, including: Frontend interface Backend API layer Analytics/data processing engine Lead projects independently, from requirements gathering through to deployment. Mentor junior developers to support their technical growth. Solve complex challenges related to data and presentation in … the following technologies: - Backend: Python, Django - Frontend: JavaScript, React, Next.js - Version control: Git Comfortable working with Python and JavaScript professionally, with experience in Django and React. Ability to build data-intensive applications and manage complex backend logic, including external API integrations. Experience in creating responsive user interfaces that function across browsers and mobile devices. Capable of working independently and More ❯

you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. Are you looking to take on a role in Data? We have an exciting role for you – ETL/ELT Engineering SME. Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We … range of teams within the business to bring products to life. The Role As a ETL/ELT Engineering SME , you will be working on designing, developing, and supporting data applications and infrastructure using ETL tools such as IDMC and Informatica Power Center. This position offers a chance to work with cutting-edge data technologies, providing significant impact … on data management and processing within the organization. Your responsibilities: Implementing and managing data processing workflows to handle large volumes of data efficiently. Utilizing cloud computing models (IaaS, PaaS, SaaS) for scalable and secure data management. Collaborating with cross-functional teams to design and optimize cloud-based data solutions. Ensuring data quality, integration, and More ❯

role? You’ll be primarily focused on the “Portfolio and Digital Underwriting” area of the Tech group. This is a set of 10 multi-disciplinary squads, consisting of Software, Data and Full Stack Engineers, as well as Algorithmic Engineers and Data Scientists. These squads exist to advance our ability to provide accurate quotes for risks based on vast … data sets and fined tuned algorithmic capabilities. The squads own a variety of different systems, including single page applications, data pipelines, backend APIs and algorithmic models. We’re looking for a Staff Full-Stack Engineer to partner with other Staff level individuals to act as an Engineering leader in this area. You’ll support the Tech Leads in … integration, with a preference for continuous delivery. - Familiarity with build tools (e.g., Maven) and version control systems (e.g., Git/GitHub). - Experience collaborating within multi-disciplinary squads, including Data Engineers and Data Scientists. Our culture Inclusion & Diversity is at the heart of our business at Ki. We recognise that diversity in age, race, gender, ethnicity, sexual orientation More ❯

Experience: 5-8 years About the Role We are seeking a highly skilled and experienced Platform Engineer to build and maintain the core infrastructure and tooling that empowers our data scientists, economists, and developers working on our cutting-edge Azure Databricks Economic Data Platform. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Platform … Support: Develop and maintain comprehensive documentation for the platform, including API documentation, user guides, and troubleshooting guides. Provide support to users of the platform. Collaboration & Communication: Collaborate closely with data scientists, economists, developers, and other stakeholders to understand their needs and gather feedback on the platform. Communicate technical concepts effectively to both technical and non-technical audiences. Essential Skills More ❯

Lead Data Scientist 📍 London (Hybrid – 3 days onsite) | 💼 Full-time | 💰 up to £110K + Equity About Us My client is a fast-moving finance start up building smart, data-driven tools to reshape how people manage money. Backed by top investors, we’re growing fast—and we need a data leader to help drive that growth. What … You’ll Do Build and deploy machine learning models that power our core products Lead and grow the data science team Collaborate across teams to turn insights into action Set best practices for experimentation and model governance What You’ll Bring 5–10 years in data science, including leadership experience Bachelor’s in Computer Science More ❯

Job Title: Data Scientist Salary: £65,000-£75,000 + Benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT The Company: Immersum are supporting the growth leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting-edge data science … smarter, faster decisions. Backed by top-tier investors and growing fast, this is your chance to shape the future of PropTech from the inside. The Role Requirements: As a Data Scientist, you’ll develop, deploy, and optimise data science solutions that sit at the heart of the company’s product offerings. You’ll play a critical role … in shaping how data-driven insights fuel smarter decisions across the business. What you’ll be doing: Spotting opportunities to apply data science and ML to solve meaningful product challenges Designing and building data pipelines to support experimentation and model development Running structured experiments and analysing performance metrics to validate outcomes Deploying and maintaining models in More ❯

across various asset classes. They have grown into a global firm with offices in major financial hubs, including New York, Chicago, London, and Hong Kong. They have a very Data-Driven Culture with a heavy focus on technology, data science, and research. They're hiring for their enterprise data team who are building a cloud native … data platform used by data analysts, scientists, and quantitative investors. The platform involves technologies like Docker, Kubernetes, REST APIs, and multi-language client libraries. Key Responsibilities: Build cloud-based, distributed data solutions. Understand and prioritize investment data needs. Collaborate with users and team members to refine requirements. Design high-performance data ingestion and delivery systems. … and infrastructure-as-code . API design experience; front-end experience with React is a plus. Cloud experience (especially AWS ) is highly valued. Additional Requirements: Experience working within the data space within a Hedge Fund Environment Happy to work onsite 4 days a week in central London Educated to Degree Level, ideally Computer Science or similar. More ❯

Data Scientist - GreenTech Start Up - London A fast-growing startup revolutionising the energy sector are looking for talented Data Scientists to join their team. What Will You Be Doing: You'll be at the forefront of data science innovations in the energy sector, working on projects that directly impact climate change through: Developing and deploying machine … learning models for energy optimisation Analysing complex time-series data to drive insights and decision-making Working directly with clients to understand their needs and implement solutions Contributing to the company's core technology platform and expanding its capabilities Collaborating with cross-functional teams to drive innovation in energy systems What We're Looking For: Strong background in data science and machine learning, particularly with time-series data Python expertise with experience in deploying models to production Experience with Docker containerisation and cloud platforms (preferably GCP) Knowledge of electricity systems and power trading is advantageous Excellent communication skills for client interactions Deep interest in climate tech and sustainability What's In It For You: Salary More ❯

Lead Data Scientist Hybrid - London (3 days a week) Up to £80,000 We are working with ahousehold fashion brand. They are on the lookout for a Principal Data Scientist to join its growing Data & Analytics team. With a presence across a thriving eCommerce platform, mobile app, and 300+ retail stores, this is your chance to join … an exciting team. As Principal Data Scientist, you’ll lead the data science function, supporting customer understanding, marketing effectiveness, and personalisation. From optimising campaign performance to driving loyalty and segmentation strategies, you’ll help put data at the heart of every customer interaction. The Role: Lead, mentor, and grow a team of Data Scientists and … cases. Build and deploy models that support personalisation, customer segmentation, lifetime value prediction, churn prevention, and marketing attribution. Partner closely with CRM, Digital Marketing, and eCommerce teams to deliver data-driven improvements across the customer journey. Leverage advanced analytics to understand customer behaviour and optimise marketing spend and engagement. Ensure data quality and scalable infrastructure for marketing and More ❯

Principal Data Scientist Hybrid - London (3 days a week) Up to £80,000 We are working with ahousehold fashion brand. They are on the lookout for a Principal Data Scientist to join its growing Data & Analytics team. With a presence across a thriving eCommerce platform, mobile app, and 300+ retail stores, this is your chance to join … an exciting team. As Principal Data Scientist, you’ll lead the data science function, supporting customer understanding, marketing effectiveness, and personalisation. From optimising campaign performance to driving loyalty and segmentation strategies, you’ll help put data at the heart of every customer interaction. The Role: Lead, mentor, and grow a team of Data Scientists and … cases. Build and deploy models that support personalisation, customer segmentation, lifetime value prediction, churn prevention, and marketing attribution. Partner closely with CRM, Digital Marketing, and eCommerce teams to deliver data-driven improvements across the customer journey. Leverage advanced analytics to understand customer behaviour and optimise marketing spend and engagement. Ensure data quality and scalable infrastructure for marketing and More ❯

Data Scientists - GenAI Pays up to £170k 2-days a week in London offices Data Scientists - GenAI, Python, ML Libraries Oliver Bernard have partnered with a Global Consultancy who are looking to hire a number of Data Scientists with an exceptionally strong background in GenAI to work on a large variety of projects. You'll be working … with the latest technologies, designing, building and deploying models using LLM's and other GenAI techniques, collaborating with Engineering, Product and Infrastructure teams, creating robust and scaleable AI solutions. Data Scientists - GenAI, Python, ML Libraries Key skills and experience: Strong background in Data Science within GenAI MSc or PhD qualifications a bonus Proficiency with Python and ML … week required in London offices and can pay £100k-£170k depending on skills and experience. To be considered, you must be UK based as sadly sponsorship isn't available. Data Scientists - GenAI, Python, ML Libraries More ❯

Data Scientist – Technical Risk Pricing (Insurance) £55,000–£80,000 + Benefits | Hybrid (2 days in London office max) Location: London (near Liverpool Street) Sector: Insurtech | Risk Pricing & Claims Modelling Join a well-backed, growing insurtech on a mission to reimagine how insurance pricing is done. This business is building out a cutting-edge risk modelling function—and they … re hiring their first Data Scientist in pricing to help lead the charge. You’ll work directly with the Pricing & Data Science Manager , taking full ownership of pricing algorithm design, risk modelling, and technical rate setting. This is a high-impact role offering strong autonomy, a supportive team, and the opportunity to shape the pricing function from … the ground up. 🔍 What you’ll be working on: Designing and deploying machine learning models to price technical risk and claims Modelling claims data to improve rate accuracy and reduce customer churn Working across third-party and low/no-code platforms to streamline pricing tools Supporting the wider data team and collaborating closely with underwriting and product More ❯

Senior Data Scientist - Econometrics & Advanced Attribution Location: London/Hybrid - UK remote a possible option Type: Full-Time/Permanent Salary: Negotiable DoE £70,000 - £100,000 plus good bonus Job Reference: J12971 About the Company Our client are a fast-growing Data Science, Machine Learning, and AI Consultancy supporting some of the UK and Europe's … leading private equity firms and high-growth businesses. Their work spans strategic data science engagements, AI product development, and long-term technology partnerships. As they scale, their ambition is to evolve into the UK's first data-native investment firm-raising their own fund and co-investing alongside leading private equity partners using advanced analytics and AI … Projects range from bespoke consulting and modelling engagements to the development of scalable AI-enabled solutions across marketing, operations, and investment analytics. The Role They are seeking a Senior Data Scientist with deep expertise in econometrics and advanced attribution modelling to lead a flagship client engagement with one of the world's most prominent education businesses. This individual will More ❯

Senior Data Scientist UK – Hybrid Up to £80,000 The Company A leading UK telecoms company is expanding its Product and Marketing Data Science teams and is looking for a Senior Data Scientist to help drive data-driven decision-making. This is a great opportunity to work on high-impact projects that directly influence customer … engagement, marketing effectiveness, and business growth. The Role As a Senior Data Scientist, you will: Develop and deploy predictive models to enhance customer targeting and engagement. Work on churn prediction to help improve customer retention strategies. Apply customer segmentation techniques to optimise marketing campaigns. Build marketing attribution models to measure and improve campaign performance. Collaborate with stakeholders across the … business to translate insights into actionable strategies. Your Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. Strong communication skills and the ability to More ❯

Job Title: Data Scientist – Machine Learning | SaaS Client Location: UK-based (Hybrid – London) Employment Type: Full-time Experience Level: Mid to Senior About the Opportunity: We're supporting a high-growth SaaS company that operates in a data-intensive, real-time environment. Their platform addresses challenges in digital integrity and performance, helping clients make smarter, cleaner decisions with … their online activity. As they continue scaling, they’re looking to hire a Data Scientist with strong machine learning expertise to develop systems that detect anomalous behaviours and patterns across vast streams of traffic data. This is a highly impactful role for someone who enjoys applying ML in fast-moving, production-grade settings. Key Responsibilities: Build and deploy scalable … approaches to adapt to evolving signals and threat vectors Monitor, evaluate and improve model performance over time (drift, latency, etc.) Work closely with engineering and product teams to integrate data science into core product features Contribute to a collaborative team culture focused on technical excellence and real-world results Stay informed on new techniques and research relevant to More ❯

Data Scientist – London | £78K perm/£350 daily (Umbrella) Our client is hiring two experienced Data Scientists to join our fast-growing UK Data & AI practice . You’ll be at the forefront of machine learning model development for leading insurance and financial services clients , working in a collaborative, hands-on environment. 📍 Location: London (Hybrid … week) 📅 Start: Early July 2025 💼 Type: Permanent (preferred) or Umbrella Contractor 💰 Salary: Up to £78,000 or £350/day equivalent 🧠 Your Profile: 6–10 years of experience in Data Science & ML Expert in Python , data wrangling, EDA, modelling, validation, and deployment Strong in supervised & unsupervised learning ; exposure to NLP/OCR a plus Proficient with AWS More ❯

security across land, sea and air. They are leaders in highly sensitive international protection and continually seek to lead the way for innovation in their domain. About this Big Data Engineer Role As a Big Data Engineer, you will play a crucial role in creating and maintaining systems to support our client’s data science, AI … and machine learning workloads. You will be required to work in a collaborative nature with different departments and ensure effective data integration. Why Work as a Big Data Engineer with Our Client? Competitive salary up to £115,000 Flexible working hours Private healthcare Holiday buy and sell Career development Performance bonus What is Expected of you as a … Big Data Engineer with Our Client? You will need to hold current eDV or UKIC security vetting A minimum of 5 years of experience of working with Big Data as a Data Engineer Excellent communication skills and the ability to work in a collaborative nature with the wider team and explain complex technical details to those of More ❯

GEOSPATIAL DATA ANALYST £40,000 - £50,000 LONDON – 2-3X A WEEK THE COMPANY: This small, collaborative organisation is at the heart of the out-of-home advertising industry is looking for a new team member to support their mission of measuring how many people see ads on billboards, buses, posters, and public screens. Funded by industry stakeholders … they provide the trusted data that ensures ad buying and selling is fair and consistent. This year marks an exciting phase of innovation, with new data models, collection methods, and even facial recognition technology being introduced to improve insights into audience movement and ad visibility across Great Britain. THE ROLE: The client is looking for an Insight Analyst … with strong SQL and spatial data experience to help uncover deeper insights from movement and audience data. You'll work with telecoms providers to gather and analyse spatial data, perform specialised analysis, and build visualisations (primarily in Tableau, though other tools are welcome). While this isn’t a data science role, there’s occasional use More ❯

DATA ANALYST £40,000 - £50,000 LONDON – 2-3X A WEEK *Please note, this company is unable to sponsor, and you must be a UK resident to apply* THE COMPANY This small, collaborative organisation is at the heart of the out-of-home advertising industry is looking for a new team member to support their mission of measuring … how many people see ads on billboards, buses, posters, and public screens. Funded by industry stakeholders, they provide the trusted data that ensures ad buying and selling is fair and consistent. This year marks an exciting phase of innovation, with new data models, collection methods, and even facial recognition technology being introduced to improve insights into audience movement … and ad visibility across Great Britain. THE ROLE The client is looking for an Insight Analyst with strong SQL and spatial data experience to help uncover deeper insights from movement and audience data. You'll work with telecoms providers to gather and analyse spatial data, perform specialised analysis, and build visualisations (primarily in Tableau, though other tools are More ❯

Data Scientist - £80,000 - Hybrid - London Company Overview: My client is a trusted partner for major clients across a range of data and AI driven industries such as banking, insurance, health-care, retail, and more! With a global presence spanning continents and tens of thousands of professionals, there is no better place to grow and advance your career. … edge technology. My client believes their success stems from the calibre of people they employ and will do everything to support you and your development. Role Overview: As a Data Scientist you will be hands on in developing advanced statistical and machine learning models within the financial sector. Python is obviously a pre-requisite for this role, with experience … to Have: Financial Services Experience Interviews ongoing don't miss your chance to secure the future of your career! Contact me @ (url removed) or on (phone number removed). Data Science, Data Scientist, AI, ML, Random Forest, Databricks, SageMaker, Regression, Gradient Boosting, NLP, Palantir, Insurance, Banking More ❯

Job Title: Data Lead 💰 Salary: up to ~£110k + very generous equity ( of the same value as your salary !) 🌴 Benefits include : unlimited AL, 2 company trips/year, contribution towards your own holiday 📍 Location: Shoreditch (2 office days/week) 💵 Industry: FinTech/Payments Company overview Having raised over £7m at seed stage, this FinTech company is shaking up … s largest players in payments, this company is causing the biggest change to how businesses access card payments in over two decades. Role overview As the company's first data hire , you’ll be tasked with designing, building and owning their data stack. You’ll also be responsible for applying your expertise in quantitative analysis to understand how … their users behave. Your insights will feed into data products that you’ll own, as well as into the wider product strategy. Reporting directly to the CTO/founder and working alongside the founding employees, you'll have a huge impact on the business from day 1 - you'll get to experiment and built innovative products at pace & scale More ❯