476 to 500 of 1,307 Data Science Jobs in London

Company Description At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to find a perfect match, in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased … the world's leading job-tech platform. Job Description The role of Product Analytics Manager in our company is at the intersection of several disciplines: Product Analytics, Insights Analytics, Data Engineering and Data Science. Your team's projects will cover a broad range of topics, from working with engineers to implement event tracking on our platforms, all the … way to generating data insights and sometimes building predictive models, ultimately helping our Product organisation deliver great products, which solve meaningful user problems. You and your team are part of a larger Product Analytics group, and will be working closely with Product Directors, Heads of Product, Data Engineers, Data Scientists and many other stakeholders to ensure we More ❯

Senior AWS Data Engineer - Greenfield Market Data Platform | London | Vice President Level Location: London - Canary Wharf (Hybrid: 2-3 days/week in office) Salary: Up to around £120,000 + Bonus + Benefits Employment Type: Permanent Industry: Financial Services We're working with a prestigious financial services client on a greenfield data engineering opportunity that's … set to transform how market data is accessed and used across the business. This is a rare chance to join a high-impact initiative at its inception, designing and building a cutting-edge Market Data Store (MDS) platform using the latest cloud technologies. This individual contributor role is ideal for a hands-on Senior Data Engineer who … thrives in technically complex environments and enjoys solving large-scale data pipeline challenges. You'll work with tools like AWS Glue, PySpark, Iceberg, Databricks, and Snowflake , collaborating with data scientists and stakeholders across multiple business units. Key Responsibilities: Design, build, and maintain scalable data pipelines and architectures. Implement secure and efficient data lakes and warehouses to More ❯

Senior AWS Data Engineer - Greenfield Market Data Platform | London | Vice President Level Location: London - Canary Wharf (Hybrid: 2-3 days/week in office) Salary: Up to around £120,000 + Bonus + Benefits Employment Type: Permanent Industry: Financial Services We're working with a prestigious financial services client on a greenfield data engineering opportunity that's … set to transform how market data is accessed and used across the business. This is a rare chance to join a high-impact initiative at its inception, designing and building a cutting-edge Market Data Store (MDS) platform using the latest cloud technologies. This individual contributor role is ideal for a hands-on Senior Data Engineer who … thrives in technically complex environments and enjoys solving large-scale data pipeline challenges. You'll work with tools like AWS Glue, PySpark, Iceberg, Databricks, and Snowflake , collaborating with data scientists and stakeholders across multiple business units. Key Responsibilities: Design, build, and maintain scalable data pipelines and architectures. Implement secure and efficient data lakes and warehouses to More ❯

Delivery Manager – Modelling & Data Engineering London (Hybrid/Remote) | Permanent | Full-time £60,000 - £80,000 Are you passionate about leading cross-functional teams and driving innovation in data, modelling, and forecasting? We’re looking for a Delivery Manager to join our Modelling & Data Engineering team , where you’ll play a key role in delivering accurate, low … latency services and shaping next-generation technology. What you’ll do: Lead cross-functional teams (Data Science, Software Engineering & Data Engineering) to deliver and optimise models and processes. Partner with Data Science and Tech Leads to define requirements and manage timelines from idea to delivery. Use agile methodologies to ensure quick, effective responses to market … version control (GIT), and reporting dashboards. Excellent communication, organisation, and problem-solving skills. A strong quantitative background (STEM degree or equivalent skills). Desirable but not essential: Knowledge of Data Engineering and machine learning pipelines. Experience with .NET, Python, or R. Familiarity with the US gaming industry products ✨ We’re committed to building a workplace where everyone can thrive More ❯

Delivery Manager – Modelling & Data Engineering London (Hybrid/Remote) | Permanent | Full-time £60,000 - £80,000 Are you passionate about leading cross-functional teams and driving innovation in data, modelling, and forecasting? We’re looking for a Delivery Manager to join our Modelling & Data Engineering team , where you’ll play a key role in delivering accurate, low … latency services and shaping next-generation technology. What you’ll do: Lead cross-functional teams (Data Science, Software Engineering & Data Engineering) to deliver and optimise models and processes. Partner with Data Science and Tech Leads to define requirements and manage timelines from idea to delivery. Use agile methodologies to ensure quick, effective responses to market … version control (GIT), and reporting dashboards. Excellent communication, organisation, and problem-solving skills. A strong quantitative background (STEM degree or equivalent skills). Desirable but not essential: Knowledge of Data Engineering and machine learning pipelines. Experience with .NET, Python, or R. Familiarity with the US gaming industry products ✨ We’re committed to building a workplace where everyone can thrive More ❯

Delivery Manager – Modelling & Data Engineering London (Hybrid/Remote) | Permanent | Full-time £60,000 - £80,000 Are you passionate about leading cross-functional teams and driving innovation in data, modelling, and forecasting? We’re looking for a Delivery Manager to join our Modelling & Data Engineering team , where you’ll play a key role in delivering accurate, low … latency services and shaping next-generation technology. What you’ll do: Lead cross-functional teams (Data Science, Software Engineering & Data Engineering) to deliver and optimise models and processes. Partner with Data Science and Tech Leads to define requirements and manage timelines from idea to delivery. Use agile methodologies to ensure quick, effective responses to market … version control (GIT), and reporting dashboards. Excellent communication, organisation, and problem-solving skills. A strong quantitative background (STEM degree or equivalent skills). Desirable but not essential: Knowledge of Data Engineering and machine learning pipelines. Experience with .NET, Python, or R. Familiarity with the US gaming industry products ✨ We’re committed to building a workplace where everyone can thrive More ❯

Delivery Manager – Modelling & Data Engineering London (Hybrid/Remote) | Permanent | Full-time £60,000 - £80,000 Are you passionate about leading cross-functional teams and driving innovation in data, modelling, and forecasting? We’re looking for a Delivery Manager to join our Modelling & Data Engineering team , where you’ll play a key role in delivering accurate, low … latency services and shaping next-generation technology. What you’ll do: Lead cross-functional teams (Data Science, Software Engineering & Data Engineering) to deliver and optimise models and processes. Partner with Data Science and Tech Leads to define requirements and manage timelines from idea to delivery. Use agile methodologies to ensure quick, effective responses to market … version control (GIT), and reporting dashboards. Excellent communication, organisation, and problem-solving skills. A strong quantitative background (STEM degree or equivalent skills). Desirable but not essential: Knowledge of Data Engineering and machine learning pipelines. Experience with .NET, Python, or R. Familiarity with the US gaming industry products ✨ We’re committed to building a workplace where everyone can thrive More ❯

create trusted financial abstractions that make complexity manageable and insight actionable - supporting everything from premium and ads growth to forecasting, experimentation, and global reporting. As engineers in the Financial Data Platform team, we turn messy, fragmented realities into clean, reusable foundations. We build core datasets that represent key financial domains like Premium, Ads, and Royalties. We create libraries and … tools that empower others to produce and trust financial data at scale. We collaborate deeply with Finance, Product, and Data teams to unlock clarity and drive Spotify's ambitions forward. We are looking for engineers who are excited to shape the future of financial data at Spotify. You will design and operate scalable pipelines that process billions … of records. You will apply product thinking to financial data - managing the full lifecycle from sourcing to documentation to exposure. You will define abstractions that simplify complexity and create intuitive paths for our consumers. Together, we advocate for standards, champion quality, and build systems that others can rely on with confidence. If you thrive on building foundations that have More ❯

make complexity manageable and insight actionable - supporting everything from premium and ads growth to forecasting, experimentation, and global reporting. Location London Job type Permanent As engineers in the Financial Data Platform team, we turn messy, fragmented realities into clean, reusable foundations. We build core datasets that represent key financial domains like Premium, Ads, and Royalties. We create libraries and … tools that empower others to produce and trust financial data at scale. We collaborate deeply with Finance, Product, and Data teams to unlock clarity and drive Spotify's ambitions forward. We are looking for engineers who are excited to shape the future of financial data at Spotify. You will design and operate scalable pipelines that process billions … of records. You will apply product thinking to financial data - managing the full lifecycle from sourcing to documentation to exposure. You will define abstractions that simplify complexity and create intuitive paths for our consumers. Together, we advocate for standards, champion quality, and build systems that others can rely on with confidence. If you thrive on building foundations that have More ❯

Sector Data Analyst About our Client and the Role Our client is a $20b systematic hedge fund looking to hire a sector data analyst/data scientist to focus on generating interesting insights for healthcare, energy, or industrial sector stocks from fundamental data, alternative datasets, and other unstructured data. Your work will augment fundamental analysts, and … help drive investment decisions. You will also work alongside quantitative researchers and portfolio managers to help build predictive models from alternative data for systematic strategies. Responsibilities Generate insights and identify trends from alternative datasets; Project key performance indicators (KPIs) for various public companies in the healthcare, energy, or industrial sectors; Work with other data scientists and quantitative researchers … to identify and develop features useful for building predictive models; Present research to portfolio managers, investment teams, and other internal users; Stay abreast of alternative data developments and identify potential new data sources and vendors; Collaborate with engineering and data sourcing teams to vet data vendors, ensure data integrity and quality; Requirements Bachelor's degree More ❯

Social network you want to login/join with: Our Data Services Team offers a variety of data products with a strong focus on engineering, including data science and data analytics, to help our business users, mainly trading teams, make data-driven decisions and improve their business operations. At Macquarie, our advantage is bringing … You'll be part of a friendly and supportive team where everyone-no matter what role-contributes ideas and drives our success. What role will you play? As a Data Platform Engineer, you will join our dynamic Engineering team developing cutting-edge data product solutions. You will build and maintain applications ranging from cloud infrastructure automation, APIs, query … DevOps and Engineering background Proficient in writing infrastructure as code for public cloud Experience with Python coding/testing or any Cloud-based technology (AWS preferred) Good understanding of Data Observability Good understanding of Hosting Platform Linux/Unix (EKS and Container experience is a plus) Good understanding of Databases, Data Lakes, and Query Engines, SQL/DDLs More ❯

Are you a Data Scientist with a passion for machine learning and finance? BONDS is seeking a talented individual to join our front office team and play a crucial role in forecasting investor behavior and driving strategic market decisions. Commerzbank and Capital Markets are a strong player in BONDS and have ambitions to grow while fully embracing the AI … exciting journey. Your tasks Collaborate with primary and secondary market teams to develop models forecasting investor behavior using advanced machine learning techniques. Work on the development and maintenance of data infrastructure to support robust data analysis and model development, in close cooperation with our Delivery Organisation/IT/Big Data internal partners Generate proactive ideas to … customers. Working in a highly regulated environment, you will follow all essential procedures and standards of practice in compliance with respective regulatory and legal requirements Your profile Degree in Data Science, Mathematics, Physics, Engineering, Econometrics, or a similar highly quantitative discipline several years of professional experience Strong numerical, analytical, and problem-solving skills Proficiency in programming, preferably Python More ❯

fraud, money laundering, and terrorism financing. Our mission is to minimise losses and risk exposure while supporting trust, operational efficiency, and regulatory compliance. We are a multidisciplinary team of data scientists, analysts, machine learning engineers, and backend engineers working together to detect and respond to suspicious activity. We own the end-to-end platform that powers our real-time … and batch monitoring capabilities, including: A custom alerting and orchestration platform, built on Airflow, that enables scalable, auditable detection pipelines. Data pipelines in DBT and Snowflake that serve both ML models and rule-based logic. Backend services and APIs that handle case management, automated decisioning, merchant termination workflows, and integrations with adjacent platform services. We collaborate closely with Compliance … Risk, Platform Engineering, Data Engineering, and Operations teams to continuously evolve our systems and respond to emerging threats. Your Mission As a Senior Backend Engineer in the Customer Risk Monitoring team, you will: Work collaboratively with data scientists, data analysts, data engineers and machine learning engineers to build and maintain the engineering infrastructure supporting our analytical More ❯

Managers and Solution Designers to develop practical solutions. DevOps Methodologies: Utilise modern DevOps practices to enhance efficiency and productivity. Technology Trends: Leverage emerging technologies in AI, machine learning and data science for professional services. You'll be someone with: Python Expertise: Deep knowledge of Python and its ecosystem for complex applications. Cloud Deployment: Experience with cloud-native applications … Azure. AI Frameworks and Tools: Familiarity with frameworks and tools such as LangChain, LlamaIndex, CrewAI, Semantic Kernel, Autogen and Agno. An understanding of how Large Language Models (LLMs) work. Data Engineering & Modelling: Understanding of ORM/entity relationships, NoSQL, JSON, XML, SQL and exposure to data visualisation tools (ETL/ELT). Data Science Tools: Proficiency … CD) using Bicep or similar technologies. Expertise in deploying, monitoring and managing machine learning models in production environments. API Development: An understanding of REST. Experience with Flask or FastAPI. Data Validation: Knowledge of Pydantic for data validation. Scripting and Prototyping: Use of Jupyter Notebooks for quick prototyping. DevSecOps Practices: Understanding of secure coding and automated testing. Experience with More ❯

Permanent, full-time (37.5 hours per week) Hybrid working with regular travel to our London Bridge Office What the job involves Are you passionate about using data to drive meaningful change? Join our Customer Insight Team to do just that! We're not just about crunching numbers; we're about crafting innovative strategies that connect real needs with organisational … goals, resulting in impactful campaigns, and ensuring our audiences needs are at the heart of everything we do. As Data Insight Analyst, you'll be a key player in the Data Insight Team to uncover valuable insights that directly influence strategy and improve decision-making. You'll bring data to life by designing interactive, user-friendly dashboards … and championing visual analytics that empower teams across the organisation. Further, you'll have the chance to expand your horizons by diving into our cutting-edge data science platform. Get ready to explore the world of machine learning and AI, building models that help us to better understand customer behaviour and inform future campaigns. Collaboration is central to More ❯

to grow our team, representing one of the five largest Series A rounds in Europe for 2024. About This Role We're a fast-growing startup looking for a data-driven analyst to help build the foundations for our marketing engine as we scale. You will be a key member of our marketing and data team, fully dedicated … using your expertise to grow top line revenues and guide commercial initiatives from our data. You'll own the analysis of the end-to-end customer journey, using our data stack ( BigQuery, dbt, Hex ) to create data models, data products, metrics and find insights that fuel our growth. You'll work closely with other engineers, marketers, product … ll Do Own Marketing Performance & Funnel Analysis Analyse the complete customer experience, from the first ad impression through product use to lifetime customer value. Develop and maintain core marketing data products, dashboards and reports that serve as the single source of truth for campaign and funnel performance. Using and evolving reporting, CRM, marketing, tagging and analytics tools, such as More ❯

million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! Job Description The Opportunity As a Senior Data Scientist at Cint, you will play a pivotal role in optimizing the Cint Exchange. Collaborating closely with product and engineering teams, you will deliver data-driven solutions to … enhance the performance of existing products, inform the development of new offerings, and deepen our understanding of marketplace dynamics. This role involves advanced data mining and analytics, robust product and data validation, and the development of sophisticated statistical and machine learning-based methodologies. The ideal candidate will have a strong ability to independently research, develop, and maintain high … recommendations through compelling visualizations and presentations tailored to diverse technical and non-technical audiences. Qualifications What we are looking for Minimum 5 years of solid working experience in a Data Science capacity, with demonstrated experience in leading projects or initiatives. A Master's degree (or equivalent) in Statistics, Quantitative Sciences, Data Science, Operations Research, or a More ❯

million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! Job Description The Opportunity As a Senior Data Scientist at Cint, you will play a pivotal role in optimizing the Cint Exchange. Collaborating closely with product and engineering teams, you will deliver data-driven solutions to … enhance the performance of existing products, inform the development of new offerings, and deepen our understanding of marketplace dynamics. This role involves advanced data mining and analytics, robust product and data validation, and the development of sophisticated statistical and machine learning-based methodologies. The ideal candidate will have a strong ability to independently research, develop, and maintain high … recommendations through compelling visualizations and presentations tailored to diverse technical and non-technical audiences. Qualifications What we are looking for Minimum 5 years of solid working experience in a Data Science capacity, with demonstrated experience in leading projects or initiatives. A Master's degree (or equivalent) in Statistics, Quantitative Sciences, Data Science, Operations Research, or a More ❯

power their UK expansion. We're growing at a top 0.01% among all European Series A startups. About the role As a highly operational business, we rely on our Data Scientists to guide how every parcel moves through our network - from when it enters the system to when it's delivered at the doorstep. We're hiring an Operational … Research Data Scientist to join our Routing squad, helping to design, test, and improve the models and algorithms that power routing across Relay's first, middle, and last mile. This role sits at the intersection of operations research and applied data science; it's well-suited to someone who enjoys turning real-world routing challenges into scalable … solutions. You'll work directly in a cross-functional squad which includes Operations, Engineering, Data Analytics, and Data Science, to improve the quality of our routes and reduce the cost of delivery. You'll also play a key role in shaping our future routing strategy, working across all areas of the business to unlock efficiency, scale into More ❯

Data Scientist - Risk | Automotive🚘 | London (Hybrid) | £60,000-£90,000 Peaple Talent have partnered with a leading Automotive business who deliver smart & sustainable solutions that improve customers’ mobility. They're the UK’s largest car leasing company and help over 750,000 people get on the road. My client are unique in that they provide comprehensive insurance as part … of the overall lease costs. With 815k+ Scheme Customers this is the largest motor fleet policy in the UK. We are now seeking a selection of Senior Data Science Risk Modellers, who will be responsible for delivering a strong model risk management framework, and ensuring all forecast models are robustly implemented. What we're looking for: A strong … background in Statistics, Mathematics, Economics, Data Science, or a related field A number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high More ❯

Data Scientist - Risk | Automotive🚘 | London (Hybrid) | £60,000-£90,000 Peaple Talent have partnered with a leading Automotive business who deliver smart & sustainable solutions that improve customers’ mobility. They're the UK’s largest car leasing company and help over 750,000 people get on the road. My client are unique in that they provide comprehensive insurance as part … of the overall lease costs. With 815k+ Scheme Customers this is the largest motor fleet policy in the UK. We are now seeking a selection of Senior Data Science Risk Modellers, who will be responsible for delivering a strong model risk management framework, and ensuring all forecast models are robustly implemented. What we're looking for: A strong … background in Statistics, Mathematics, Economics, Data Science, or a related field A number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high More ❯

Data Scientist - Risk | Automotive🚘 | London (Hybrid) | £60,000-£90,000 Peaple Talent have partnered with a leading Automotive business who deliver smart & sustainable solutions that improve customers’ mobility. They're the UK’s largest car leasing company and help over 750,000 people get on the road. My client are unique in that they provide comprehensive insurance as part … of the overall lease costs. With 815k+ Scheme Customers this is the largest motor fleet policy in the UK. We are now seeking a selection of Senior Data Science Risk Modellers, who will be responsible for delivering a strong model risk management framework, and ensuring all forecast models are robustly implemented. What we're looking for: A strong … background in Statistics, Mathematics, Economics, Data Science, or a related field A number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high More ❯

Data Scientist - Risk | Automotive🚘 | London (Hybrid) | £60,000-£90,000 Peaple Talent have partnered with a leading Automotive business who deliver smart & sustainable solutions that improve customers’ mobility. They're the UK’s largest car leasing company and help over 750,000 people get on the road. My client are unique in that they provide comprehensive insurance as part … of the overall lease costs. With 815k+ Scheme Customers this is the largest motor fleet policy in the UK. We are now seeking a selection of Senior Data Science Risk Modellers, who will be responsible for delivering a strong model risk management framework, and ensuring all forecast models are robustly implemented. What we're looking for: A strong … background in Statistics, Mathematics, Economics, Data Science, or a related field A number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high More ❯

small-ticket lending portfolio. Working closely with the Head of Credit Strategy and Analytics, you'll bring deep analytical expertise, strong business acumen, and a passion for using unconventional data sources to inform smarter lending decisions. This is a high-impact position for someone excited by fast-moving fintech, eager to build smarter credit systems, and ready to contribute … consumer or SME lending. About Uncapped Founded in 2019, Uncapped is a fintech company focused on providing working capital to SMEs in North America and Europe. We leverage multiple data sources to make credit decisions faster, safer and more conveniently. We are working with the largest platforms in the world, including Amazon and Walmart, and strive to be the … performance, and early warning indicators to identify emerging risks and opportunities. Recommend tactical or strategic changes to mitigate loss rates and drive portfolio profitability. Refine Underwriting Scorecards: Collaborate with Data Science teams to design, test, and deploy new scorecards and scorecard-driven strategies in our automated credit systems. Leverage Alternative Data: Analyse structured and unstructured data More ❯

Data Scientist | AI Tech Start-Up | £60,000-£85,000 DOE + Shares | London/Hybrid We are excited to be working with a rapidly growing AI tech start-up that’s expanding its team with a talented Data Scientist. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision … on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities, to dramatically enhance performance and efficiency. The Role As a Data Scientist, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical data science position … on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You More ❯