276 to 300 of 789 Data Science Jobs in London

Friday, 9:00 AM – 5:00 PM Location : Remote Are you detail-oriented, organised, and confident on the phone? This is a great opportunity to join a fast-paced data operations team supporting business-to-business (B2B) communications across the supply, retail, farming, and supply chain sectors. This 12-week Graduate internship offers structured training and the chance to … work remotely while gaining valuable experience in data management and verification. Successful candidates may be offered a permanent position following a performance review, opening the door to long-term career progression. The Role You'll be responsible for maintaining and verifying large sets of B2B data, ensuring accuracy and consistency across internal systems. This includes contacting business owners … search tools, and resolving any inconsistencies or errors. Your work will help ensure businesses can communicate effectively and establish contracts with confidence. You'll collaborate with colleagues in the data and operations team to meet deadlines and performance targets, while maintaining confidentiality and professionalism throughout. What We're Looking For A Degree in Business, Data Science, Data More ❯

Job Title: Data Scientist (Contract, Hybrid – London) Location: London (Hybrid: 2–3 days/week in office) Contract Type 6–12 months (Contract, possible extension) About The Role We are seeking a skilled Data Scientist to join our dynamic team on a contract basis. You will work closely with cross-functional teams to extract actionable insights from complex … datasets, build predictive models, and support data-driven decision-making. This is a hybrid role, offering flexibility while being actively involved in the London office. Key Responsibilities Analyze large, structured and unstructured datasets to identify patterns and trends. Develop, validate, and deploy predictive models using machine learning and statistical techniques. Translate business requirements into technical solutions and actionable insights. … Collaborate with business stakeholders, data engineers, and analysts to support analytics initiatives. Create dashboards, reports, and visualizations to communicate insights to non-technical stakeholders. Ensure data quality, integrity, and security throughout the analytics lifecycle. Keep up-to-date with the latest developments in data science, AI, and machine learning. Required Skills & Experience Proven experience as a More ❯

Role: Data Scientist Associate Manager Location: London Salary: Competitive salary and package (Depending on level of experience) Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which typically requires 5 years continuous UK address history usually including no periods of 30 consecutive days or more spent outside of the UK and declaration of … and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO We are a dynamic team of specialists in Data Science, Data Engineering, and MLOps, dedicated to delivering cutting-edge AI solutions within secure government and defence environments. Join us to be part of an inclusive and More ❯

Global Head of Data Engineering | Base Salary & uncapped Bonus | London | Permanent Industry: Trading/Commodities Location: London – Hybrid (4 days in office) Job Type: Permanent Our client is seeking a Global Head of Data Engineering to oversee the development and optimisation of their enterprise data platform in a front office trading environment. You’ll lead a distributed … team of data engineers, ensuring the seamless ingestion, management, and delivery of high-quality market, economic, and commercial data to power trading, research, and operational decision-making. What You’ll Do: Lead and manage a global team of data engineers, providing mentorship and direction. Oversee the design, build, and ongoing enhancement of an enterprise data platform … on AWS. Develop and scale robust ETL/ELT pipelines for the ingestion of financial market, commodity, and commercial datasets. Deliver new data products and services for traders, analysts, and operational teams. Implement and maintain data quality frameworks and best practices. Collaborate with front office users, including traders and research analysts, to understand data requirements. Partner with More ❯

Global Head of Data Engineering | Base Salary & uncapped Bonus | London | Permanent Industry: Trading/Commodities Location: London – Hybrid (4 days in office) Job Type: Permanent Our client is seeking a Global Head of Data Engineering to oversee the development and optimisation of their enterprise data platform in a front office trading environment. You’ll lead a distributed … team of data engineers, ensuring the seamless ingestion, management, and delivery of high-quality market, economic, and commercial data to power trading, research, and operational decision-making. What You’ll Do: Lead and manage a global team of data engineers, providing mentorship and direction. Oversee the design, build, and ongoing enhancement of an enterprise data platform … on AWS. Develop and scale robust ETL/ELT pipelines for the ingestion of financial market, commodity, and commercial datasets. Deliver new data products and services for traders, analysts, and operational teams. Implement and maintain data quality frameworks and best practices. Collaborate with front office users, including traders and research analysts, to understand data requirements. Partner with More ❯

Global Head of Data Engineering | Base Salary & uncapped Bonus | London | Permanent Industry: Trading/Commodities Location: London – Hybrid (4 days in office) Job Type: Permanent Our client is seeking a Global Head of Data Engineering to oversee the development and optimisation of their enterprise data platform in a front office trading environment. You’ll lead a distributed … team of data engineers, ensuring the seamless ingestion, management, and delivery of high-quality market, economic, and commercial data to power trading, research, and operational decision-making. What You’ll Do: Lead and manage a global team of data engineers, providing mentorship and direction. Oversee the design, build, and ongoing enhancement of an enterprise data platform … on AWS. Develop and scale robust ETL/ELT pipelines for the ingestion of financial market, commodity, and commercial datasets. Deliver new data products and services for traders, analysts, and operational teams. Implement and maintain data quality frameworks and best practices. Collaborate with front office users, including traders and research analysts, to understand data requirements. Partner with More ❯

Global Head of Data Engineering | Base Salary & uncapped Bonus | London | Permanent Industry: Trading/Commodities Location: London – Hybrid (4 days in office) Job Type: Permanent Our client is seeking a Global Head of Data Engineering to oversee the development and optimisation of their enterprise data platform in a front office trading environment. You’ll lead a distributed … team of data engineers, ensuring the seamless ingestion, management, and delivery of high-quality market, economic, and commercial data to power trading, research, and operational decision-making. What You’ll Do: Lead and manage a global team of data engineers, providing mentorship and direction. Oversee the design, build, and ongoing enhancement of an enterprise data platform … on AWS. Develop and scale robust ETL/ELT pipelines for the ingestion of financial market, commodity, and commercial datasets. Deliver new data products and services for traders, analysts, and operational teams. Implement and maintain data quality frameworks and best practices. Collaborate with front office users, including traders and research analysts, to understand data requirements. Partner with More ❯

the Fraud & ID strategy: Develop a long-term vision for detection, prevention, and verification systems that scale with business growth Own the product roadmap: Translate strategic objectives into clear, data-driven product plans and prioritise ruthlessly based on risk impact and value Drive cross-functional alignment: Collaborate closely with engineering, data science, operations, compliance, and risk teams … in-class fraud and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction … safety, identity verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can More ❯

the Fraud & ID strategy: Develop a long-term vision for detection, prevention, and verification systems that scale with business growth Own the product roadmap: Translate strategic objectives into clear, data-driven product plans and prioritise ruthlessly based on risk impact and value Drive cross-functional alignment: Collaborate closely with engineering, data science, operations, compliance, and risk teams … in-class fraud and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction … safety, identity verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can More ❯

the Fraud & ID strategy: Develop a long-term vision for detection, prevention, and verification systems that scale with business growth Own the product roadmap: Translate strategic objectives into clear, data-driven product plans and prioritise ruthlessly based on risk impact and value Drive cross-functional alignment: Collaborate closely with engineering, data science, operations, compliance, and risk teams … in-class fraud and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction … safety, identity verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can More ❯

the Fraud & ID strategy: Develop a long-term vision for detection, prevention, and verification systems that scale with business growth Own the product roadmap: Translate strategic objectives into clear, data-driven product plans and prioritise ruthlessly based on risk impact and value Drive cross-functional alignment: Collaborate closely with engineering, data science, operations, compliance, and risk teams … in-class fraud and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction … safety, identity verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can More ❯

a pivotal stage. What you’ll be doing: Design, build, and deploy Large Vision Models (LVMs) to enhance customer experiences, improve workforce efficiency, and boost product performance. Collaborate with data engineers to gather, preprocess, and curate large visual datasets, ensuring robust and high-quality data pipelines. Optimise model architectures and tune hyper parameters to maximise throughput while maintaining … to date with the latest machine learning and computer vision advancements, applying new techniques to strengthen solutions and drive innovation. Main Skills/Requirements: Master’s degree in Computer Science, Data Science, or a related field — or equivalent practical experience, with a strong focus on machine learning Over 5 years of experience deploying computer vision models in … techniques, including image classification, object detection, and segmentation Experience with Large Vision Models (LVMs) is highly desirable Proficient in SQL and skilled in working with large-scale datasets for data processing and manipulation How you’ll be rewarded: Share Options Competitive Benefits Opportunity to join a leading start-up This is an excellent opportunity for an experienced Lead Computer More ❯

a pivotal stage. What you’ll be doing: Design, build, and deploy Large Vision Models (LVMs) to enhance customer experiences, improve workforce efficiency, and boost product performance. Collaborate with data engineers to gather, preprocess, and curate large visual datasets, ensuring robust and high-quality data pipelines. Optimise model architectures and tune hyper parameters to maximise throughput while maintaining … to date with the latest machine learning and computer vision advancements, applying new techniques to strengthen solutions and drive innovation. Main Skills/Requirements: Master’s degree in Computer Science, Data Science, or a related field — or equivalent practical experience, with a strong focus on machine learning Over 5 years of experience deploying computer vision models in … techniques, including image classification, object detection, and segmentation Experience with Large Vision Models (LVMs) is highly desirable Proficient in SQL and skilled in working with large-scale datasets for data processing and manipulation How you’ll be rewarded: Share Options Competitive Benefits Opportunity to join a leading start-up This is an excellent opportunity for an experienced Lead Computer More ❯

a pivotal stage. What you’ll be doing: Design, build, and deploy Large Vision Models (LVMs) to enhance customer experiences, improve workforce efficiency, and boost product performance. Collaborate with data engineers to gather, preprocess, and curate large visual datasets, ensuring robust and high-quality data pipelines. Optimise model architectures and tune hyper parameters to maximise throughput while maintaining … to date with the latest machine learning and computer vision advancements, applying new techniques to strengthen solutions and drive innovation. Main Skills/Requirements: Master’s degree in Computer Science, Data Science, or a related field — or equivalent practical experience, with a strong focus on machine learning Over 5 years of experience deploying computer vision models in … techniques, including image classification, object detection, and segmentation Experience with Large Vision Models (LVMs) is highly desirable Proficient in SQL and skilled in working with large-scale datasets for data processing and manipulation How you’ll be rewarded: Share Options Competitive Benefits Opportunity to join a leading start-up This is an excellent opportunity for an experienced Lead Computer More ❯

a pivotal stage. What you’ll be doing: Design, build, and deploy Large Vision Models (LVMs) to enhance customer experiences, improve workforce efficiency, and boost product performance. Collaborate with data engineers to gather, preprocess, and curate large visual datasets, ensuring robust and high-quality data pipelines. Optimise model architectures and tune hyper parameters to maximise throughput while maintaining … to date with the latest machine learning and computer vision advancements, applying new techniques to strengthen solutions and drive innovation. Main Skills/Requirements: Master’s degree in Computer Science, Data Science, or a related field — or equivalent practical experience, with a strong focus on machine learning Over 5 years of experience deploying computer vision models in … techniques, including image classification, object detection, and segmentation Experience with Large Vision Models (LVMs) is highly desirable Proficient in SQL and skilled in working with large-scale datasets for data processing and manipulation How you’ll be rewarded: Share Options Competitive Benefits Opportunity to join a leading start-up This is an excellent opportunity for an experienced Lead Computer More ❯

AWS Data Engineer - Contract Duration: 6 months Location: Mostly remote (occasional office visits) Rate: £500-£550 per day (Outside IR35) I'm partnering with a global consultancy that is looking for a Data Engineer to enhance its evolving data infrastructure and drive operational excellence. This is a hands-on role where you'll play a key part … in business-critical operations, tackling complex data challenges, supporting cross-functional initiatives, and improving core data systems. As a central member of the data team, you'll be responsible for building and maintaining scalable data pipelines, resolving data quality issues, and collaborating closely with analysts, engineers, and stakeholders. If you thrive in a fast-paced … environment and enjoy optimising data systems, this could be a great match. Key Responsibilities: Design, develop, and maintain scalable data pipelines for both operational and analytical needs Ensure high data integrity through best practices in validation and quality assurance Investigate and resolve data issues, identifying root causes and implementing sustainable solutions Lead and support data More ❯

Senior Data Scientist | Data, Python, Science Senior Data Scientist with previous experience using Python is sought after by one of the UK’s most exciting gaming/esports companies. They need a Data Scientist to help their team solve the real-world problems that their technology-driven, data focussed platform faces. You will have … the opportunity to join a small, agile team of esports experts and help them build a potentially industry leading data distribution platform. For this position, they are looking for applicants with the following skillset: A passion for clean data/statistics At least 3 years’ previous experience as a data scientist Python skills/experience Comfortable in … personal development budget Transport contributions Flexible working hours A great list of perks in a brand-new office (when you are in the office) If you are an experienced Data Scientist and want the chance to work in the gaming/esports industry, apply or contact Luke Rose for more details More ❯

Senior Data Scientist | Data, Python, Science Senior Data Scientist with previous experience using Python is sought after by one of the UK’s most exciting gaming/esports companies. They need a Data Scientist to help their team solve the real-world problems that their technology-driven, data focussed platform faces. You will have … the opportunity to join a small, agile team of esports experts and help them build a potentially industry leading data distribution platform. For this position, they are looking for applicants with the following skillset: A passion for clean data/statistics At least 3 years’ previous experience as a data scientist Python skills/experience Comfortable in … personal development budget Transport contributions Flexible working hours A great list of perks in a brand-new office (when you are in the office) If you are an experienced Data Scientist and want the chance to work in the gaming/esports industry, apply or contact Luke Rose for more details More ❯

Global Operations team of 30+ colleagues in five locations. The successful candidate will lead the efficient and standardised delivery of Customer Success operations globally, taking accountability for operational consistency, data accuracy, KPI performance, and cross-team collaboration. This is a hands-on role where you will be expected to own initiatives, drive outcomes, and deliver measurable improvements. Reports to … QBRs, documentation, and efficiency projects), working closely with the Customer Experience Improvement Manager to ensure efficient programme management, global alignment and report outcomes to senior leadership. Partner with Product, Data Science and Data Operations teams to strengthen processes to enhance data quality for clients and our Customer Success team. Own accountability for Planhat platform enhancements (our … central customer data tool), working with the Data Manager to prioritise improvements, gather feedback, and measure success outcomes. Driving KPIs & Data Accuracy Hold accountability for accuracy of customer and operational data, driving SLAs, managing escalations with our external partner where required. Deliver monthly Operational KPIs (NPS, ROI, TTV, savings, etc), addressing technical issues with the Data More ❯

into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data … evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring … scalability, reproducibility, and monitoring of deployed models. Requirements · 6+ years in data science/ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring More ❯

We are currently seeking an experienced informaticist to join our Informatics team who will lead advanced analyses of methodological data to inform study design decisions. The Informatics team utilizes informatics principles and techniques to architect, mine, analyze, and visualize clinical trial data to inform study design choices for pharmaceutical development. The informaticist will create predictive data models … to identify and analyze patterns, then program compelling visualizations of the data to support feasibility strategies. The team is seeking an experienced candidate for a senior-level position to contribute new skills to our team, support team growth, and foster fellow analyst development. The Informatics Team is a highly collaborative team with members in both the Cincinnati and London … offices. This team supports clinical operation, medical, and feasibility teams with advanced data query and analysis. The Informatics Team also works side-by-side business analytics and software engineering to architecture innovative data storage and access solutions for optimal data utilization strategies. If you are an individual with experience in informatics, data science, statistics or More ❯

culture of continuous improvement across the organisation. As the Analyst for Improving Together, you will be at the heart of our improvement journey. You'll harness the power of data to drive change--building smart tools to monitor performance, creating SPC charts, and guiding teams in making data-informed decisions. You will teach and champion data for … including a series of exercises and a traditional interview. The full process will take approximately three hours with interview dates to be confirmed. Main duties of the job Support data-driven improvement across the Trust by leading analytical work and fostering a culture of continuous improvement. Collaborate with programme and Clinical Group teams to deliver impactful insights and build … data capability. Lead data analysis and outcome evaluation using tools such as SQL, Power BI, and Excel Develop metrics and frameworks to assess improvement initiatives Support capability-building programmes and mentor staff Create tools and collaterals for wider organisational use Promote best practice in data analysis and reporting Build internal and external data networks Plan and More ❯

Lead Data Engineer London, UK (Hybrid) Innovative FinTech About the Company: We are partnered with a high-growth FinTech company headquartered in London that is redefining how technology and data can transform financial services. Their mission is to deliver smarter, faster, and more secure financial solutions through cutting-edge platforms powered by data. With rapid expansion and strong … investment backing, they are scaling their engineering and data capabilities to support ambitious growth plans. The Role: Our client is seeking a Lead Data Engineer to take ownership of their data infrastructure and lead the build-out of scalable, reliable, and secure data pipelines. This is a senior hands-on role, where you'll also provide … technical leadership to a small but growing team. You'll work closely with data scientists, analysts, and software engineers to ensure the company's data strategy underpins their innovative financial products. Key Responsibilities: Lead the design, development, and optimisation of data pipelines and ETL processes. Architect scalable data solutions to support analytics, machine learning, and real More ❯

flagship AI products, LexisNexis Classification. The team modernises the application with new features and functions to enrich the users' experience, as well as implementing research from our in-house data science team at scale. This is an opportunity to be a key part of a team that works on modern, cloud native infrastructure and become an essential part … directly to solving technical problems as well as guiding your team to success. Key Responsibilities: Owning and executing the backlog of product modernisation. Leading the delivery and deployment of data science research into scalable AI-powered features. Creating performance- and cost-optimised services. Able to communicate and take ownership within the team and across team boundaries. Writing and More ❯

Data Scientist - Brand Uplift/Marketing London – Hybrid Up to £80,000 About the Role We are seeking a Data Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to … production-level coding practices, including unit testing and documentation. Communicate complex technical concepts to non-technical stakeholders. What We’re Looking For 3+ years’ experience working with Python for data preparation, aggregation, and transformation. Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets … libraries and ability to apply the latest research into real-world applications. Skilled in explaining technical findings to business audiences in clear, concise English. Degree in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, or similar); Master’s preferred. Please note, this role cannot offer sponsorship. More ❯