101 to 125 of 324 Data Science Jobs in the City of London

Senior Engineering Manager - Data (six month FTC) Lead the data platform behind a high-scale, mission-driven consumer product. We’re looking for a Senior Engineering Manager to lead the teams building the foundational data platform for one of the UK’s best known ecommerce companies. You’ll help scale data infrastructure that powers real-time … learning, experimentation, and analytics - supporting millions of users. 📍 Location: London surrounds (once a week in office ideally) 💰 Salary: £150k+ pro rata What you’ll do Manage and mentor two data infrastructure squads, covering batch and real-time pipelines, data observability, and governance Collaborate with Product, Engineering, Data Science and ML teams to align platform capabilities with … business needs Define and own the roadmap for scalable, privacy-aware, and resilient data systems Promote engineering best practices and long-term system sustainability Embed data quality, observability and governance principles across teams Contribute to hiring, coaching, and growing a high-performing data organisation What you’ll bring Strong experience leading data or platform teams in More ❯

Data Engineering Manager Lead the data platform behind a high-scale, mission-driven consumer product. We’re looking for a Senior Engineering Manager to lead the teams building the foundational data platform for one of the UK’s best known ecommerce companies. You’ll help scale data infrastructure that powers real-time decision-making, machine learning … analytics - supporting millions of users. 📍 Location: London surrounds (once a week in office ideally) 💰 Salary: £150k+ pro rata (six month FTC) What you’ll do Manage and mentor two data infrastructure squads, covering batch and real-time pipelines, data observability, and governance Collaborate with Product, Engineering, Data Science and ML teams to align platform capabilities with … business needs Define and own the roadmap for scalable, privacy-aware, and resilient data systems Promote engineering best practices and long-term system sustainability Embed data quality, observability and governance principles across teams Contribute to hiring, coaching, and growing a high-performing data organisation What you’ll bring Strong experience leading data or platform teams in More ❯

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition London office hybrid 3 days per week Salary negotiable dep on experience to £90,000 + stock options Job Reference J12960 Please note this client is unable to offer sponsorship so please ensure you have full UK working rights. Measure Protocol are looking for a smart, creative and dynamic Senior … Data Scientist to help shape and mould their approach and products to build the best-in-class consumer data company. At Measure Protocol, they believe in building a team of true owners. That’s why they offer stock options to all employees as part of their compensation package, so you share in the value you help create. As … a real opportunity to participate in the upside of something meaningful from the ground up . About Measure Measure is building the world’s first ethical and transparent human data marketplace. The world we live in is awash in data: what we watch and wear, who we know, what we do, and how we live our lives. Unfortunately More ❯

Metris Energy At Metris, we're on a mission to accelerate the energy transition by helping solar owners manage their asset(s) autonomously. Today, our platform delivers real-time data on 100s of solar projects across the UK and automates time-consuming tasks involved in solar management such as monitoring, fault detection, reporting and billing. Next, Metris is building … proprietary AI to deliver autonomous operation of small-scale renewables. The Role We’re looking for a Senior Software Engineer with strong experience in data-intensive systems to join our team. You’ll bring a solid grounding in data processing and architecture, and will play a key role in maintaining data integrity across the Metris platform . … This role will define and own our data architecture, connecting to hundreds of renewable energy assets — storing, transforming and aggregating millions of rows of data — we also expect that over time you will also contribute to other parts of the Metris product as the business continues to grow and evolve into new products and markets. This role is More ❯

Ready to lead the next generation of AI-powered solutions? We’re looking for a Senior Data Scientist to join our ambitious, impact-driven team based in London. You’ll play a key role in designing and deploying advanced machine learning systems that solve complex real-world challenges across a wide range of industries—from climate risk and healthcare … product offerings. Flexible & Balanced : Competitive salary, hybrid working options, and a culture that supports your wellbeing and personal growth. What We’re Looking For: 3+ years of experience in data science, machine learning, or applied AI roles. Strong background in statistics, predictive modeling, and advanced machine learning techniques. Proven ability to lead end-to-end AI projects—from … data exploration and model development to deployment and evaluation. Expert-level proficiency in Python and ML libraries such as Scikit-learn, XGBoost, TensorFlow, PyTorch, and/or Hugging Face. Experience working with large-scale datasets, cloud platforms (AWS/GCP), and ML Ops tools is a plus. Excellent communication skills and the ability to translate technical insights into actionable More ❯

and more insistent the world over. We have an international editorial team with our main offices in London and New York. About You A highly collaborative, proactive, commercially astute, data leader, with strong analytical and technical skills, as well as a deep understanding of the data and mar-tech space. Experience of the advertising, media and publishing sector … Acumen Proven technical expertise in media, marketing, and advertising technology, with a track record of designing strategies to overcome business challenges. A determination to drive new revenue streams from data assets. Ability to manage revenue budgets, forecasting, and pipeline projection across multiple revenue streams. Experience in developing management reports for board and executive leadership teams. Knowledge of global digital … Solving Able to work autonomously while making informed decisions in consultation with key stakeholders. Proactive and intelligent approach to problem-solving in a fast-paced environment. Well-versed in data privacy laws, security governance, and compliance requirements. Relationship-Building & Advocacy Evidenced experience in building strong, lasting relationships with both clients and key internal stakeholders. A brand advocate, championing The More ❯

Data Scientist/Senior Data Scientist - Credit Risk London – Hybrid Up to £80,000 + Benefits Our client is a high-growth fintech revolutionising consumer finance through cutting-edge technology and data science. Backed by top investors and consistently rated as a market leader, they are transforming the way loans, credit cards, and financial products are delivered … offering customers faster, more transparent, and seamless experiences. As a Senior Data Scientist, you’ll play a pivotal role in developing proprietary risk models that drive strategic decision-making and product innovation. Working within a multidisciplinary team, you’ll apply advanced machine learning techniques to improve underwriting quality and enhance financial product offerings. Key Responsibilities Build and refine credit … risk models using state-of-the-art ML techniques. Translate business challenges into data-driven solutions. Deploy and monitor models autonomously, without reliance on a separate ML engineering team. Clearly communicate insights and recommendations to stakeholders. What We’re Looking For Strong Python experience, with knowledge of ML techniques. Familiarity with non linear modelling. Strong educational background from a More ❯

Senior Data Scientist Location: London Salary: Up to £80,000 About the Company Our client is one of the UK’s fastest-growing fintech companies, revolutionizing consumer finance by making it faster, cheaper, and more transparent. Backed by leading investors and loved by customers, they’ve rebuilt key financial products like loans, credit cards, and car finance from the … ground up. With a strong foothold in the UK and US markets, they are challenging big banks and outdated systems with cutting-edge technology. The Role As a Senior Data Scientist, you’ll be at the heart of the business, developing state-of-the-art credit risk models to underpin loan and credit card products. You’ll work with … serves deployments and monitoring, without reliance on a separate ML engineering team. Key Responsibilities Develop proprietary risk models to improve underwriting quality and enhance decision-making. Understand the products, data, and strategies to effectively inform risk modelling. Translate business problems into data-driven solutions and clearly communicate insights. Collaborate with stakeholders and contribute to the team’s growing More ❯

twentyAI are partnering with a globally renowned law firm currently undergoing a major digital and data transformation. With a deep-rooted legacy in legal excellence and a strong global footprint, the firm is currently modernising their data capability and building a new data platform. About the Role You will be part of a diverse group of engineers … and machine learning experts, working with cutting-edge Azure cloud technologies, including Microsoft Fabric and related services. Your mission is to design reliable, efficient data pipelines that enable the business to access trusted, well-structured data. You will also focus on building and scaling the core data infrastructure that supports advanced analytics and machine learning efforts across the … business. Responsibilities Design and develop end-to-end data pipelines that ingest, transform, and prepare data for analytics and machine learning workflows. Work with Infrastructure as Code, primarily Terraform, to automate and manage cloud infrastructure, enabling repeatable and reliable deployment processes. Collaborate closely with data scientists, MLEs, and business teams in an agile environment to deliver data More ❯

Job Title: Gen AI Consultant Location: Fully Remote Job Type: Contract/Contract-to-hire Responsibilities: Data Engineering: Collaborate with cross-functional teams to design and implement data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes. Work with diverse healthcare datasets, integrating and cleaning data from various sources to create a unified and reliable data infrastructure. Develop and maintain databases, ensuring data quality, integrity, and security. AI Integration in Healthcare: Assist in the development and implementation of AI solutions tailored to healthcare challenges. Collaborate with data scientists and machine learning engineers to deploy models into production environments. Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations. Research and … the latest advancements in genomics, healthcare, and AI technologies. Contribute to the development of new methodologies and tools to enhance our service offerings. Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field. Strong foundation in data engineering, including experience with ETL processes, data modeling, and database management, as well as SQL. More ❯

Increasing with length of service Role overview: Machine Learning Engineer (Manchester or London, Hybrid working) We are looking for an experienced Machine Learning Engineer to join a newly formed data science team. You will have the opportunity to shape the data science delivery pipeline by building the infrastructure to acquire data from the data platform, deploy models, maintain, monitor and upgrade core data science services in both Azures native platform and in DataBricks. You will be working closely with data scientists in a skills crossover methodology, and will contribute to the data science workflow, discussions and development, but still maintain a key function in the graduation of models … from research into production. This is an ideal role for an individual who is passionate about the use of data science to influence decisions and is keen to learn more about delivering value using data. Key responsibilities Ownership of the deployment framework for all data science services. You will have oversight of how data will More ❯

that result in low levels of production issues Awareness of industry best practice and new and upcoming technology trends Full solution architectural understanding across networking and software Experience of data programmes and data technologies, ideally gained within an enterprise scale organisation or within technology or development team or similar. Technical exposure to and/or experience in a … range of technologies and architectural best practice concepts, specifically Data Engineering Design Snowflake expert with hands-on experience of data modelling and best practises MS Azure Data Stack - Data Factory, Data Lake Storage, Azure SQL, Azure ML, Power BI Automation of CICD pipelines across different technologies including Power BI, Snowflake and the Azure Data Stack Data Science, Analytics & Reporting Design Understanding of implementations for Operational (near real time data management and analytics) and MI (‘aged’ data) data modelling and reporting Exposure and passion for new and emerging data technologies and trends Exposure to concepts of Data Governance (e.g. Data Quality, Data Management, Data More ❯

advantageous Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar More ❯

price, configure and sell their products and services in an omnichannel environment with speed, precision, and consistency. Our customers, who are leaders in their markets, benefit from decades of data science expertise infused into our industry solutions. We are looking for a dynamic and experienced EMEA based Senior Revenue Operations Analyst to join our Revenue Operations Team . … a proven ability to inspire high-performing, cross-functional teams. You will play a crucial role in supporting our cross functional Go-To-Market (GTM) organization with regular actionable data and insights. A Day in the Life of the Senior Revenue Operations Analyst - About the role Responsibilities: Partner with senior business leaders across the GTM organization to provide effective … organization. Responsible for leading the standardization and reporting governance for the GTM organization. Serve as the business liaison on cross-functional initiatives to optimize business processes and/or data accuracy. Facilitate and support annual strategic and planning activities such as, territories, quota setting and evaluation, capacity modeling, optimization etc. Act as key liaison for aligning territory quotas and More ❯

Power, Utilities, Transport, Oil and Gas, Defence, Health and Education. We are strengthening our InfraTech capability to meet increasing demand from these organisations in support for how to use data, analytics and technology to unlock value from their assets and infrastructure. This is a fast-growing area offering exciting opportunities, building upon our global capabilities in Infrastructure, Asset Management … and Data Analytics. We are seeking an ambitious and innovative professional who is passionate about infrastructure and technology to join our Asset Management Advisory (AMA) team, with the skills and desire to combine the two to drive improvements for our clients. You will be responsible for helping grow and deliver our InfraTech business, working with client organisations and other … solutions for client challenges Work with KPMG's Global InfraTech network to identify, develop and deploy appropriate tools and methodologies Work with KPMG's and Client’s technology and data analytics teams to develop and deploy proof of concepts and solutions Use your analytical skills to bring new insights to clients Support change management of client teams to embed More ❯

with business priorities, product strategy, and customer impact — ensuring that operational transformation directly contributes to measurable value. 2. Stakeholder Engagement & Communication Serve as a trusted advisor across senior leadership, data/tech leads, and business stakeholders to align on a shared vision and outcomes. Facilitate open and structured communication channels that foster transparency, collaboration, and continuous feedback. Translate strategic … and maintain outcome-focused dashboards and reporting frameworks to measure the impact of change at both team and enterprise levels. Track business-aligned KPIs such as delivery cycle time, data quality, user satisfaction, and commercial outcomes. Provide leadership with insight and confidence that transformation is not just happening, but delivering clear, measurable business value . What We’re Looking … architecture. CI/CD, pipelines development, Infrastructure As a Code Monitoring and alerting tools and practices Experience with agile methodologies, security, performance and DevOps practices Bonus: Degree in Computer Science, Engineering, or Data Science or equivalent Bonus: A consulting background effecting change in technical organisations Why Join Us? Be part of a mission-critical transformation that will More ❯

around Interconnector costs and flows. Provide weekly market comments and insights. Build a gas storage model Build a Virtual power plant model Key Requirements: Sufficient years of experience in Data analytics with a proven ability to extract insights from complex datasets. Proficiency in programming, preferably Python and SQL. Solid comprehension of large language models (LLM) in order to support … the desk’s research. Ability to utilize advanced data analytics and time series analysis techniques to generate actionable signals for commodities trading. Ability to perform data cleaning, transformation, and web scraping to ensure high-quality datasets and insightful analysis. Sharp technical understanding of derivatives contracts. Strong interest in the various Energy supply and demand fundamentals in Europe. Robust … insights effectively to stakeholders to facilitate informed decision-making. High entrepreneurial attitude required to develop a business. The successful candidate is likely to be educated to degree level in Data Science, Mathematics, Physics, Engineering, Econometrics, or a similar highly quantitative discipline. More ❯

a healthy work-life balance while tackling hard problems in quantitative finance using AI and ML techniques. As a Quantitative Researcher, you will work with a fantastic team of data scientists and engineers on a wide scope of ML responsibilities to tackle hard problems in quantitative finance: Build machine learning trading strategies across a range of asset classes Design … projects focused on finding trading product solutions Requirements for the Quantitative Researcher - Machine Learning position: PhD in a technical or quantitative discipline such as statistics, mathematics, physics, or computer science Intermediate skills in at least one programming language such as C, C++, Java, or Python Understanding of machine learning algorithms Experience with applied machine learning to real-world datasets More ❯

ideal candidate will have a strong quantitative background, deep understanding of commodity markets, and experience in developing and executing algorithmic trading strategies. You will collaborate with researchers, engineers, and data scientists to identify opportunities, optimize strategies, and manage risk in real-time. Key Responsibilities: Research, design, and implement algorithmic trading strategies in commodity markets (e.g., energy, metals, agriculture) including … global macroeconomic trends, geopolitical events, and market structure changes affecting commodities. Required Qualifications: Bachelor’s, Master’s, or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Engineering, or Finance. 3+ years of experience in commodity trading, preferably in a quantitative or algorithmic environment. Strong programming skills in Python, C++, or similar languages used in quantitative More ❯

core technology crucial to Ki's success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly iterative, analytical approach. We're More ❯

A well respected Insurance firm is looking to hire a Data Science Manager to be responsible for defining the strategic data requirements for delivery of data consumption use cases. You will be comfortable interacting with all front-line underwriters, data engineers and technology departments. You will need to capture, prioritise and document business and technical … requirements, leading to the deployment of automated, optimised and highly effective analytics solutions. This all-round knowledge will be key to ensure effective communication and collaboration with the Data Analytics and Actuarial teams. You will also need to contribute to management and board level reports and demonstrate strong team management skills. KEY REQUIREMENTS: Have strong management track record Have … proven stakeholder management including engagement with technical experts and senior management Be an expert in data science techniques Advanced programming skills (Python an advantage) Strong statistical, data manipulation and data analysis skills Strong academic background Experience in dealing with Data Engineers, Architects and Technology experts 7+ years' Data Science/Actuarial experience, preferably More ❯

HEAD OF DATA SCIENCE UP TO £130,000 LONDON This is an exciting new opportunity to work in a very fast-paced, flexible and dynamic environment. You will manage a team and report directly into the Chief Analytics Officer working closely with senior management. THE COMPANY This company is a significant financial service offering personal loans to customers … who have trouble when applying for credit from their banks. The company is looking to increase their data science capabilities to support growth through enhanced models, AI, and experimentation. THE ROLE You will be doing the following daily: Lead and cultivate a team of Data Scientists. Create and deploy credit models, mostly scorecards, working across unsecured consumer … lending products. Identify new opportunities to improve data and analytic approaches. Work closely with the wider analytics team to improve the overall worth of the portfolio by introducing new data sources, incorporating AI capabilities, improving modelling strategies, and scoring cut-offs. Work closely with credit reference agencies and their data. Collaborate with colleagues across the organisation to successfully More ❯

Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About the team: You will be leading and coaching a team of early career data analysts to use global data from the largest, real-time fraud detection platform to craft solutions for our enterprise customers and deliver against strategic projects. About the role : Your experience with data analysis, fraud and technology will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result … Alongside management duties you will lead by example and retain a 40% hands-on component in this customer-facing role. You will promote and maximise the value of our data by collaborating with engagement managers and external business leaders. The comprehensive solutions that you and your team build will go head-to-head against some of the most motivated More ❯

Data Product Manager Location: Hybrid - London twice a week Type: Full time Join the Merlin Entertainments Digital & Data Team – where technology, data and digital innovation meet magic! At Merlin Entertainments, we're transforming the entertainment and hospitality industries through superb digital experiences. Our Digital & Data function is connecting our global technology estate, delivering digital experiences to … app and in-park interactions, improving global operations, or directly supporting guests by keeping attractions running smoothly. If you're a hands-on, passionate professional ready to modernise technology, data, and digital products while crafting memorable guest experiences, we'd love to hear from you! Key Skills and Experience 3-5 years of experience in data product management … data science, or a related field, with a successful track record of delivering data-driven products. Degree in Computer Science, Engineering, Data Science, Business Administration, or a related field. Proven experience managing product roadmaps, working with cross-functional teams, and overseeing the entire product lifecycle. Strong understanding of data technologies such as cloud More ❯

I am working with a growing Insurtech, who are seeking a Data Scientist within their pricing team - this is a growth hire, joining a team of 3. My client has an office in London however, are open to making this role largely remote depending on candidate preference. Responsibilities: Build, innovate, and maintain predictive models within a proprietary Retail Pricing … customer experience. Collaborate with the Senior Pricing Analyst and key stakeholders to implement price selection changes and provide actionable insights for improving commercial performance. Use SQL and Python for data processing, analysis, and price setting, leveraging millions of quotes to drive incremental revenue through retail pricing actions. Work closely with software developers to adapt and optimize pricing tools based … with results visible within days. Requirements: 1-2 years of experience as an analyst in Insurance, Financial Services, Retail, Travel, or other fast-paced industries. Strong numerate degree (e.g., Data Science, Mathematics, Physics, Engineering), though other disciplines will be considered with relevant experience. Proficient in Python and its data science libraries for data manipulation, visualization More ❯