351 to 375 of 1,767 Data Science Jobs in London

Job Title: Data Engineer (with AI Engineering Experience) Location: Hybrid (UK-based) Outside IR35 Contract role - 6 months rolling Industry: Energy/Wholesale Markets & Trading We’re looking for a skilled Data Engineer with Artificial Intelligence (AI) experience to join a cutting-edge team within one of the UK’s leading energy companies. This role sits within the … organisation’s Wholesale Market Services and Trading division, a key area focused on enabling smarter, data-driven decision-making in fast-paced energy markets. You’ll play a pivotal role in designing and delivering complex, cloud-native data solutions that support trading operations, risk management, market forecasting, and AI-led optimisation initiatives. Key Responsibilities Design, build, and maintain … robust data pipelines and cloud-based infrastructure to support large-scale data processing and analytics workloads. Collaborate with data scientists and AI engineers to productionise machine learning models and support intelligent automation solutions. Contribute to the development and enhancement of the enterprise data platform with scalable, high-quality data assets. Champion data engineering best More ❯

an exciting journey as we build out our internal engineering capability, spearheading our tech transformation, building best in class products and tackling exciting and complex challenges along the way! Data is at the core of what we do at QiH, but our people are at the heart of our success! At QiH, we have created an energetic and target … driven culture and continuously invest in each individual. The Role Our Technology team is growing! We're looking for a highly skilled and experienced Senior Data Engineer to design and build a robust, scalable, and high-performance real-time data backbone. In this role you will lead the design, development, and implementation of a real-time data backbone. This position focuses on building and maintaining scalable, high-performance data pipelines that support real-time data processing and analytics. You will work closely with various teams to ensure the infrastructure meets the business's growing data needs while leveraging modern technologies for efficient data ingestion, storage, and analysis. Key Responsibilities: Design, develop, and More ❯

We're looking for a Senior Data Engineer to join Pleo and help us in our journey in our Business Analytics team. This team is responsible for delivering and enhancing high-quality, robust data solutions that drive commercial performance, revenue operations, and financial planning across Pleo. You'll collaborate extensively with Product, Engineering, and Business teams to ensure … our data solutions directly drive product innovation and business outcomes. You'll help shape the future of Pleo's data landscape, supporting multiple teams, driving strategic projects, and staying hands-on with cutting-edge technology to deliver impactful solutions. You are a trailblazer, ready to lead innovation, mentor others, and tackle strategic challenges while maintaining a strong focus … on execution. You'll partner with engineers, analysts, data scientists, and stakeholders across the company to unlock the potential of data in driving Pleo's mission forward. You will thrive in this role if you Are excited by the opportunity to work across diverse teams, aligning initiatives and driving domain-wide impact with a 'data as a More ❯

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative … workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. Our Team: Using innovative, collaborative, and client focused approaches to data extraction, aggregation, and standardization, the Sustainable Finance Data team is responsible for enhancing ESG content for the Bloomberg Terminal and Enterprise products. This includes company-reported and normalized metrics, industry-specific metrics, proprietary … ESG scores, climate and regulatory data. Our Sustainable Finance Data is displayed alongside fundamental data, backed by news for context, and used to power a growing suite of sustainable finance products. What's the role? We are seeking an experienced and proactive Team Leader to lead the development, management, and delivery of environmental and social data and More ❯

here will be unlike any job you've had before. Things you'll do in this role: Author analyses and maintain high-level datasets to support business intelligence and data-driven decision-making. Use skills in areas like statistics, simulation and optimization to inform how carbon removal is verified and help build relevant product experiences. Collaborate with product engineering … teams to design and implement data engineering and AI/ML infrastructure. Things we're looking for: Proficiency in data analysis, insights generation and using cloud-hosted tools (e.g., BigQuery, Metabase, Jupyter). Strong Python and SQL skills, with experience in data abstractions, pipeline management and integrating machine learning solutions. Adaptability to evolving priorities and a proactive More ❯

stop learning. But most importantly, we are on this journey together. How You'll Contribute You'll report into the Tech Lead and will take ownership of the existing data analytics solution. You will drive the evolution of this critical piece of our decision making capability so that it remains efficient, fit for purpose and scalable. As we build … informed and timely decisions is critical to our success. Kroo Bank's engineering and products teams are clustered around our main banking products - Accounts, Lending, Overdrafts and so on. Data Analytics works across all these products and other business areas like Finance and Operations to deliver business intelligence. You will work on: Design and build a company wide data model. Build and maintain an effective data stack, empowering all parts of the business to make timely effective decisions. Collaborate with stakeholders and design analytic solutions to be applied across the business. Oversee the collection, storage, management, quality, and protection of data. Extensive experience wrangling raw datasets into published data for analytic use cases: MI, BI or More ❯

Data Science Customer Data & Technology - Consultant/Senior Consultant Why Join frog Since June 2021, frog is part of Capgemini Invent. frog partners with customer-centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology. We're inventing the future of customer experiences by delivering … and possess domain knowledge in marketing, customer, digital, and commercial sectors. Additionally, the candidate should have strong project management and people management skills. What We Look For Previousexperience in data science, with proven experience in Generative AI and LLM development and evaluation. Hands-on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus … solutions and Large Language Models (LLMs) for various use cases. Develop and implement machine learning models, including predictive, forecasting, classification, and deep learning models. Experience in working with various data sets, including transactional/EPOS, digital, social, loyalty etc. Hands on experience in using programming languages such as Python Knowledge of cloud platforms and tools for data science More ❯

interest, evidenced by an exceptional publication track record and/or significant technical leadership in high-impact projects. Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making. Have experience and/or in-depth understanding about large-scale distributed systems. Demonstrate an ability to work collaboratively in a fast-paced, innovative environment. Responsibilities … Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines. Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not. Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. Innovate and iterate over ideas, prototypes, and … product. Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. Advance the AI frontier responsibly. Embody our culture and values . Required Qualifications Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or More ❯

AI Engineer – Insights & Analytics Consultancy - London (Hybrid) A next-generation insights and analytics consultancy, using advanced technology to help businesses unlock the value of digital consumer data are looking for an AI Engineer to join their team. What will the role be doing? Design and prototype innovative AI and data science solutions using digital consumer data … share knowledge with the wider team Work on a mix of proof-of-concept and full-scale projects that push technical boundaries Collaborate closely with cross-functional teams across data engineering, strategy, and analytics What we’re looking for Bachelor’s degree or higher in Computer Science, Maths, Statistics, Engineering or similar 3+ years’ experience with Python, including … strong code design Proven experience building, optimising and evaluating AI/NLP models Ability to translate business challenges into technical requirements Experience working with SQL and data warehousing tools What’s in it for me? Salary of £45,000 - £65,000 dependent on experience Join a fast-moving, innovation-driven start-up Opportunity for fast professional growth and continuous More ❯

AI Engineer – Insights & Analytics Consultancy - London (Hybrid) A next-generation insights and analytics consultancy, using advanced technology to help businesses unlock the value of digital consumer data are looking for an AI Engineer to join their team. What will the role be doing? Design and prototype innovative AI and data science solutions using digital consumer data … share knowledge with the wider team Work on a mix of proof-of-concept and full-scale projects that push technical boundaries Collaborate closely with cross-functional teams across data engineering, strategy, and analytics What we’re looking for Bachelor’s degree or higher in Computer Science, Maths, Statistics, Engineering or similar 3+ years’ experience with Python, including … strong code design Proven experience building, optimising and evaluating AI/NLP models Ability to translate business challenges into technical requirements Experience working with SQL and data warehousing tools What’s in it for me? Salary of £45,000 - £65,000 dependent on experience Join a fast-moving, innovation-driven start-up Opportunity for fast professional growth and continuous More ❯

AI Engineer – Insights & Analytics Consultancy - London (Hybrid) A next-generation insights and analytics consultancy, using advanced technology to help businesses unlock the value of digital consumer data are looking for an AI Engineer to join their team. What will the role be doing? Design and prototype innovative AI and data science solutions using digital consumer data … share knowledge with the wider team Work on a mix of proof-of-concept and full-scale projects that push technical boundaries Collaborate closely with cross-functional teams across data engineering, strategy, and analytics What we’re looking for Bachelor’s degree or higher in Computer Science, Maths, Statistics, Engineering or similar 3+ years’ experience with Python, including … strong code design Proven experience building, optimising and evaluating AI/NLP models Ability to translate business challenges into technical requirements Experience working with SQL and data warehousing tools What’s in it for me? Salary of £45,000 - £65,000 dependent on experience Join a fast-moving, innovation-driven start-up Opportunity for fast professional growth and continuous More ❯

improving visibility, tracking, and reporting of our logistics performance and KPIs. The candidate will lead the conception, design, and deployment of a digital portal to streamline logistics operations, enhance data visibility, and improve decision-making. The ideal candidate will have a strong foundation in data analysis and business intelligence tools, especially Power BI, and be able to work … while contributing to a high-impact digital transformation project. Key Responsibilities Develop and implement a Logistics Operations Portal using Power BI Design interactive dashboards, visualisations, and automated reports Integrate data from multiple sources (e.g. Excel, SQL, ERP systems) Write and optimise DAX queries and use Power Query/M language Collaborate with logistics manager to identify key metrics and … performance indicators Ensure data accuracy, consistency, and availability for reporting purposes Document processes and support knowledge transfer within the team Required Qualifications & Skills Currently enrolled in or recently completed a degree in Engineering, Computer Science, Data Science, or related fields Solid experience with Power BI at a professional level Strong knowledge of DAX(Data Analysis More ❯

GenAI Specialist London Are you a Data Scientist with a passion for Generative AI and Large Language Models (LLMs)? Join a leading financial institution's Technology team , working on cutting-edge AI-driven solutions to transform credit risk management and financial data analytics. The Role This is a development-focused position where you'll be responsible for data … lifecycle. Collaborate with cross-functional teams to drive AI innovation. Present analytical findings to business and technology stakeholders. Requirements for a GenAI Specialist: Master's/PhD in Computer Science, Data Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong More ❯

for transparency and reproducibility. Publish research papers in internal and external venues of repute. Support on-call activities for critical issues. Basic Qualifications Master's or PhD in computer science, statistics or a related field. 5+ years experience in deep learning, machine learning, and data science. Proficiency in coding and software development, with a strong focus on machine … Python, or another language; command line usage; familiarity with Linux and AWS ecosystems. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. Papers published in AI/ML venues of repute. Preferred … Qualifications Track record of diving into data to discover hidden patterns and conducting error/deviation analysis. Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations. The motivation to achieve results in a fast-paced environment. Exceptional level of organization and strong attention to More ❯

ethos, we prioritize trust, transparency, and innovation in everything we do. We are looking for an experienced Technical Product Manager to lead and drive the vision for our AI & Data team. As the TPM of this team, you will bridge the gap between our business objectives and technical implementation, working closely with data scientists, engineers, stakeholders and the … wider team to deliver cutting-edge solutions that solve customer problems. You'll be responsible for contributing to strategy, defining product requirements, setting priorities, and ensuring that our data products meet user needs while advancing our mission of making the world safer by empowering analysts with the right information at the right time. Scope of work: Lead the product … development lifecycle for our data and AI-powered analytics features, from conception to launch Create and maintain a strategic product roadmap for our data products aligned with company objectives Gather and prioritize requirements from stakeholders, users, and market research Write detailed product requirements documents (PRDs) and user stories for the development team Work closely with data scientists More ❯

ethos, we prioritize trust, transparency, and innovation in everything we do. We are looking for an experienced Technical Product Manager to lead and drive the vision for our AI & Data team. As the TPM of this team, you will bridge the gap between our business objectives and technical implementation, working closely with data scientists, engineers, stakeholders and the … wider team to deliver cutting-edge solutions that solve customer problems. You'll be responsible for contributing to strategy, defining product requirements, setting priorities, and ensuring that our data products meet user needs while advancing our mission of making the world safer by empowering analysts with the right information at the right time. Scope of work: Lead the product … development lifecycle for our data and AI-powered analytics features, from conception to launch Create and maintain a strategic product roadmap for our data products aligned with company objectives Gather and prioritize requirements from stakeholders, users, and market research Write detailed product requirements documents (PRDs) and user stories for the development team Work closely with data scientists More ❯

the risk exposure. Responsibilities Work closely with quants, risk managers and other technology teams in New York, Miami, London to develop risk analytics solutions for the commodities business Develop data ingestion pipelines and core API to provide risk management with ability to get access to analytics programmatically and also via visualization tools Work with risk management for rapid prototyping … jupyter notebooks, FAST API) Experience with AWS services, such as: S3, EC2, AWS Batch and Redshift Proficiency in relational and non-relational database technologies BA or Master in computer science/any other scientific fields Able to work independently in a fast-paced environment Strong analytical and problem-solving capabilities Detail oriented, organized, demonstrating thoroughness and strong ownership of … work Experience with financial mathematics and statistics Preferred Requirements Prior experience of working directly with risk management/trading Proficiency in data science stack with Python. Experience in Java and/or Rust development Experience with Microsoft or Google cloud services More ❯

Subscription Analytics Manager Location: Harmsworth Media Headquarters, Derry Street, HSK, London Position: Permanent Role Overview As Subscription Analytics Manager , you will play a key role in driving data analytics initiatives that support subscriber growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators … KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve, and maintain customer segmentation models to provide deep insights into … the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, and product, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise marketing spend, customer acquisition, and retention More ❯

you think you have what it takes to be part of Echobox? We'd love to hear from you. About the Role: You will report to our Head of Data Science and work closely with our Product managers, Software engineers and Data Scientists to define and execute on the future path for our products. Key Responsibilities: - Work … closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. - Take ownership of end-to-end ML model development-from data preprocessing and feature engineering to training, testing, and deployment. - Collaborate across teams to implement machine learning solutions into production systems … effective. - Actively contribute to refining and improving existing models and systems. If something can be optimized, you're on it-constantly looking for ways to enhance performance. - Quickly analyze data and generate insights to drive product decisions. You'll focus on making things work fast and efficiently, without over-complicating the process. - Document your work and share findings clearly More ❯

you think you have what it takes to be part of Echobox? We'd love to hear from you. About the Role: You will report to our Head of Data Science and work closely with our Product managers, Software engineers and Data Scientists to define and execute on the future path for our products. Key Responsibilities: - Work … closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. - Take ownership of end-to-end ML model development-from data preprocessing and feature engineering to training, testing, and deployment. - Collaborate across teams to implement machine learning solutions into production systems … effective. - Actively contribute to refining and improving existing models and systems. If something can be optimized, you're on it-constantly looking for ways to enhance performance. - Quickly analyze data and generate insights to drive product decisions. You'll focus on making things work fast and efficiently, without over-complicating the process. - Document your work and share findings clearly More ❯

you think you have what it takes to be part of Echobox? We'd love to hear from you. About the Role: You will report to our Head of Data Science and work closely with our Product managers, Software engineers and Data Scientists to define and execute on the future path for our products. Key Responsibilities: Work … closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. Take ownership of end-to-end ML model development-from data preprocessing and feature engineering to training, testing, and deployment. Collaborate across teams to implement machine learning solutions into production systems … effective. Actively contribute to refining and improving existing models and systems. If something can be optimized, you're on it-constantly looking for ways to enhance performance. Quickly analyze data and generate insights to drive product decisions. You'll focus on making things work fast and efficiently, without over-complicating the process. Document your work and share findings clearly More ❯

Location Solutions Consultant - Market Planning Group 27 February 2024 CACI's Location Intelligence Group provides data, software, and consulting services to help our clients make better location-based decisions. We help clients make profitable decisions through our understanding of people and place, spatial characteristics, and consumer behaviour. Our clients include retailers, restaurant chains, leisure operators, care homes, charities, automotive … s leading Location Intelligence team, we deliver advanced spatial analysis and insights to major organisations across various sectors and countries. We provide consultancy, cutting-edge software, and the latest data to optimise location strategies across physical and digital landscapes. Projects typically last from a week to six months, covering performance analysis, customer insights, network strategies, BI & visualization, and advanced … be doing Joining the Solution Consulting team, you will be part of a dynamic and innovative group designing solutions to address strategic questions. You will scope the right analysis, data, and software based on client needs, working across various sectors and markets, both UK and international, always focusing on people and place. Our commercial team identifies opportunities and collaborates More ❯

the position We're seeking an experienced and autonomous Game Analyst to drive analytics across our portfolio of games. You'll own critical parts of our analytics stack - from data modeling to dashboarding to performance storytelling - and play a key role in shaping how we understand and communicate game performance. You'll also mentor junior analysts and collaborate directly … and be empowered to test your ideas and grow in a playful and supportive group. Starting date: ASAP, permanent contract after 6 months probationary period Reporting to: Head of Data Services Location: 100% remote from UK, Portugal, or Sweden with the option for hybrid/in-office work at our Stockholm or Lisbon office. Discord and Slack are your … time zone CET Company language: English Please submit your application in English. Responsibilities Own and maintain game analytics dashboards and KPIs in Lightdash/Looker Design and iterate on data models, working closely with engineers and existing data pipelines Develop clear, actionable performance reports for clients and internal teams Advise on best practices for data tracking and More ❯

will act as a consultant to the business surfacing deep insights, providing easy to use tools for analysis and reporting as well as generating actionable learnings for the team. Data-driven decision-making is at the core of Amazon's culture and this role will have a direct impact on the decisions and strategy of the Prime Video Channels … across multiple territories in Europe. Key job responsibilities - Work with Marketing, Partner Management, Content Acquisition Management, other BIE and leadership to identify data needs and requirements - Build mechanisms to surface knowledge and learnings about to the business - Set up and maintain self-service infrastructure (e.g. dashboards) for the team - Generate and present concrete and actionable insights and recommendations for … leadership based on sound methodological analysis - Proactively create new metrics that represent key inputs/outputs of the business - Support automation processes across the team - Lead large scale projects data and analytical projects that help scale the business across the EU, or Worldwide - Work closely with finance team on regular analyses and reporting BASIC QUALIFICATIONS - Experience with theory and More ❯

Build the future of the AI Data Cloud. Join the Snowflake team. Technical Account Manager Snowflake's Account 360 team is expanding! We are looking for a Technical Account Manager to join our team. This role combines technical and commercial responsibilities. On the technical side, you will become the post-sales technical lead for your assigned customer's workloads … effectively at all levels within an organization. You possess a positive attitude and outlook and enjoy working with a high-performing, fast-paced team. You are results-oriented, leveraging data, metrics, and open feedback to make operational, tactical, and strategic decisions. As a Technical Account Manager, you will: Collaborate regularly with Sales Engineers and Solution Architects to identify strategies … Willingness to travel regionally to customer locations, deliver on-site solutions, and build strong customer relationships Our Ideal Technical Account Manager will have: B.S. or M.S degree in Computer Science, Information Systems, Engineering, or equivalent practical experience Hands-on experience with Python, SQL, or Scala 5+ years of experience managing enterprise customer relationships as a Technical Lead or Technical More ❯