1,326 to 1,350 of 2,136 Data Science Jobs in England

late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the … quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving … to solve real-world data challenges. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time results through A/B testing. To be passionate about mentoring junior members of the team More ❯

late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the … like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving … to solve real-world data challenges. Strong skills in SQL and at least one programming language. Experience in ML model productization and a grasp of MLOps. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time results through A/B testing. More ❯

InfoSum is the world's leading data collaboration platform. The world's largest enterprise businesses use InfoSum to collaborate across data sources and deliver richer customer experiences that prioritise consumer privacy. Our vision is to unlock data's limitless potential, by enabling the world's data to be connected but never shared. Off the back of … multiple ways. We seek people with a focus on delivering solutions to customers, a genuine passion for problem solving and coding, and who enjoy being challenged. An interest in Data Science is advantageous but not essential. Experience working in agile teams and CI/CD environments is beneficial. You will join a highly talented and motivated team delivering More ❯

focus on Python-based AI/ML development, automation, and general software engineering. The successful candidate will play a key role in building and deploying machine learning features and data-driven applications. You will work on end-to-end solutions - from writing robust code and unit tests to developing APIs and integrating machine learning models into our product ecosystem. … want to hear from you. Experience in the travel or retail industry would be an advantage. Responsibilities Design, implement, and maintain software components that incorporate machine learning algorithms and data processing. Develop clean, efficient Python code for both backend logic and integration of ML models. Understand the business drivers behind each feature. Create and optimise data pipelines to … collect, preprocess, and transform data for machine learning and analytics. Work with large datasets, ensuring data quality and availability for training and prediction tasks. Develop robust RESTful APIs and microservices (using frameworks like FastAPI or Flask) to expose machine learning functionalities and data services. Ensure APIs are secure, well-documented, and perform at scale. Write and maintain More ❯

Quality Engineering, and Digital Transformation Consulting Services to Global SMEs & Large Enterprises. They has been delivering services to some of the leading Fortune 500 Companies including Automotive, AdTech, Bio Science, EdTech, FinTech, Manufacturing, Online Retailers, and Investment Banks. Job Overview: The Al Solution Architect and COE Lead will play a pivotal role in leading the design, development, and implementation … focus on nurturing Al talent, fostering knowledge sharing, and continuously evolving Al practices across the organization Location: Chennai, Onsite Experience: • 11+ years of experience in Al, machine learning, or data science , with a proven track record of delivering Al solutions. • 7+ years of experience in a leadership or architecture role, ideally with some experience in leading a Centre … in multiple industries is advantageous (e.g., healthcare, finance, retail). Skills: AI/ML Expertise: Strong understanding of machine learning algorithms, deep learning, natural language processing, computer vision, and data-driven problem-solving techniques. Architecture Skills: Proven ability to design and architect scalable, reliable, and high-performance Al solutions. Leadership and Communication: Excellent leadership skills with the ability to More ❯

of relevant years of experience: 8-10 Detailed Job Description: 5+ years' experience in IT industry with experience in designing, planning, implementing, maintaining, and documenting solutions. Experience in Dataiku data science studio tools and coding skills with Python (must-have). Commodity Trading knowledge. Good understanding of relational databases - Microsoft SQL Server and PostgreSQL databases/queries. Knowledge … of AWS skills, navigating through data analytics services/databases, and experience with data platforms such as Databricks/Azure Datahub and similar ones. Data visualization and reporting tools using PowerBI, Microsoft Office 365 skills on Excel integration and Sharepoint. Experience with large-scale enterprise-wide IT environments containing multiple technologies, Servers, and logical environments. Proven track More ❯

AI-driven startup that's transforming how UK cities make transport decisions. You'll play a hands-on role in shaping their main product, an intelligent assistant that brings data-driven insights to the desks of city planners and transport authorities- no data science degree required. This is a mission-led team building tech that supports cleaner … flagship AI-powered analytics tool). Build interactive components and dashboards for non-technical users working in transport and sustainability Collaborate with design and backend teams to translate complex data outputs into clear visuals Integrate mapping tools (e.g. OpenStreetMap ) and data visualisation features Work in a fast-moving environment, where shipping clean, scalable code matters What We're … to usability and detail-you build things people actually want to use Comfortable working in a cross-functional startup team Bonus if you've worked with: Mapbox/OpenStreetMap , data visualisation libraries , or TypeScript Why This Matters TransHumanity is solving a critical problem: how to make transport data actionable for cities. Instead of dashboards buried in spreadsheets, our More ❯

late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the … quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Previous experience of working on industrial grade recommendation systems and ideally … familiarity with offline evaluation techniques. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time More ❯

s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities … effective Forecasting capacity needs for each team to eliminate operational bottlenecks. Evaluating the value of contacting customers at different points in the customer journey and testing these approaches. Conducting data analysis to inform your work and shape effective solutions. This involves conducting your own analysis and working with our Operations Strategy Data Scientists to get even more analytical … distil complex information into key points so that it is succinct and engaging in both written and verbal forms, and accessible to a range of stakeholders (whether that's Data Scientists, operations managers, C-level, etc.) Bonus: Experience with Python or SQL. If you don't have commercial experience then we'd want you to have enthusiasm to learn More ❯

Data Scientist (Hybrid - Manchester) A growing data and analytics company is on the lookout for a Data Scientist to take ownership of its monitoring and alerting infrastructure. This is a fantastic opportunity to play a hands-on role in designing scalable solutions that safeguard data quality and system reliability across a suite of products. The successful … on solving complex problems, and wants to shape how monitoring is done across multiple projects and departments. Key Responsibilities: Design and build robust monitoring and alerting systems to maintain data health and accuracy Define KPIs and thresholds in collaboration with technical and non-technical stakeholders Develop and productionise machine learning and statistical models (Python, PySpark) Deploy monitoring solutions on … AWS infrastructure Create scalable frameworks for future monitoring needs Investigate anomalies and ensure quick resolution of issues in the data pipeline Advocate for data quality best practices across the business Provide mentorship and contribute to a culture of continuous improvement About You: Proficient in Python and SQL Experience working with large datasets, preferably using PySpark Solid understanding of More ❯

Data Scientist (Hybrid - Manchester) A growing data and analytics company is on the lookout for a Data Scientist to take ownership of its monitoring and alerting infrastructure. This is a fantastic opportunity to play a hands-on role in designing scalable solutions that safeguard data quality and system reliability across a suite of products. The successful … on solving complex problems, and wants to shape how monitoring is done across multiple projects and departments. Key Responsibilities: Design and build robust monitoring and alerting systems to maintain data health and accuracy Define KPIs and thresholds in collaboration with technical and non-technical stakeholders Develop and productionise machine learning and statistical models (Python, PySpark) Deploy monitoring solutions on … AWS infrastructure Create scalable frameworks for future monitoring needs Investigate anomalies and ensure quick resolution of issues in the data pipeline Advocate for data quality best practices across the business Provide mentorship and contribute to a culture of continuous improvement About You: Proficient in Python and SQL Experience working with large datasets, preferably using PySpark Solid understanding of More ❯

Head of Data & AI London (Hybrid) Up to £130,000 A high-impact leadership opportunity at a fast-scaling, cloud-native financial services business. This is your chance to take full ownership of the data strategy - spanning engineering, analytics, governance, and AI - and shape how data drives the future of the organisation. You’ll lead a growing … multi-disciplinary team and partner with senior stakeholders across product, technology, risk, and operations to embed data into the core of decision-making, product design, and strategic planning. It’s a great fit for someone who blends technical depth, commercial thinking, and a passion for building high-performance data teams. What you’ll be doing: Own and lead … the enterprise data strategy – across infrastructure, analytics, and AI/ML. Build and scale the team – including engineers, analysts, scientists, and AI/ML specialists. Shape the data platform – ensuring it’s scalable, reliable, and ready for AI-driven innovation. Drive analytics and BI – enabling self-serve tools, structured reporting, and decision-support insight. Support responsible AI adoption More ❯

Head of Data & AI London (Hybrid) Up to £130,000 A high-impact leadership opportunity at a fast-scaling, cloud-native financial services business. This is your chance to take full ownership of the data strategy - spanning engineering, analytics, governance, and AI - and shape how data drives the future of the organisation. You’ll lead a growing … multi-disciplinary team and partner with senior stakeholders across product, technology, risk, and operations to embed data into the core of decision-making, product design, and strategic planning. It’s a great fit for someone who blends technical depth, commercial thinking, and a passion for building high-performance data teams. What you’ll be doing: Own and lead … the enterprise data strategy – across infrastructure, analytics, and AI/ML. Build and scale the team – including engineers, analysts, scientists, and AI/ML specialists. Shape the data platform – ensuring it’s scalable, reliable, and ready for AI-driven innovation. Drive analytics and BI – enabling self-serve tools, structured reporting, and decision-support insight. Support responsible AI adoption More ❯

Head of Data & AI London (Hybrid) Up to £130,000 A high-impact leadership opportunity at a fast-scaling, cloud-native financial services business. This is your chance to take full ownership of the data strategy - spanning engineering, analytics, governance, and AI - and shape how data drives the future of the organisation. You’ll lead a growing … multi-disciplinary team and partner with senior stakeholders across product, technology, risk, and operations to embed data into the core of decision-making, product design, and strategic planning. It’s a great fit for someone who blends technical depth, commercial thinking, and a passion for building high-performance data teams. What you’ll be doing: Own and lead … the enterprise data strategy – across infrastructure, analytics, and AI/ML. Build and scale the team – including engineers, analysts, scientists, and AI/ML specialists. Shape the data platform – ensuring it’s scalable, reliable, and ready for AI-driven innovation. Drive analytics and BI – enabling self-serve tools, structured reporting, and decision-support insight. Support responsible AI adoption More ❯

Head of Data & AI London (Hybrid) Up to £130,000 A high-impact leadership opportunity at a fast-scaling, cloud-native financial services business. This is your chance to take full ownership of the data strategy - spanning engineering, analytics, governance, and AI - and shape how data drives the future of the organisation. You’ll lead a growing … multi-disciplinary team and partner with senior stakeholders across product, technology, risk, and operations to embed data into the core of decision-making, product design, and strategic planning. It’s a great fit for someone who blends technical depth, commercial thinking, and a passion for building high-performance data teams. What you’ll be doing: Own and lead … the enterprise data strategy – across infrastructure, analytics, and AI/ML. Build and scale the team – including engineers, analysts, scientists, and AI/ML specialists. Shape the data platform – ensuring it’s scalable, reliable, and ready for AI-driven innovation. Drive analytics and BI – enabling self-serve tools, structured reporting, and decision-support insight. Support responsible AI adoption More ❯

Head of Data & AI London (Hybrid) Up to £130,000 A high-impact leadership opportunity at a fast-scaling, cloud-native financial services business. This is your chance to take full ownership of the data strategy - spanning engineering, analytics, governance, and AI - and shape how data drives the future of the organisation. You’ll lead a growing … multi-disciplinary team and partner with senior stakeholders across product, technology, risk, and operations to embed data into the core of decision-making, product design, and strategic planning. It’s a great fit for someone who blends technical depth, commercial thinking, and a passion for building high-performance data teams. What you’ll be doing: Own and lead … the enterprise data strategy – across infrastructure, analytics, and AI/ML. Build and scale the team – including engineers, analysts, scientists, and AI/ML specialists. Shape the data platform – ensuring it’s scalable, reliable, and ready for AI-driven innovation. Drive analytics and BI – enabling self-serve tools, structured reporting, and decision-support insight. Support responsible AI adoption More ❯

deploy AI and machine learning models to tackle complex financial challenges Support with wider finance teams to identify high-impact AI use cases across multiple finance domains Partner with data engineers to prepare and structure financial data for modelling Train, test, and fine-tune models, ensuring compliance and ethical standards Integrate AI models with IT and finance systems … systems, adhering to financial regulation requirements Educate and support finance stakeholders in understanding AI capabilities and limitations Profile Degree in a relevant field; advanced qualifications in AI (Machine Learning, Data Science, or Finance) Proven experience in finance-related roles and familiarity with financial processes Strong knowledge of machine learning techniques and generative AI applications Experience working with stakeholders More ❯

deploy AI and machine learning models to tackle complex financial challenges Support with wider finance teams to identify high-impact AI use cases across multiple finance domains Partner with data engineers to prepare and structure financial data for modelling Train, test, and fine-tune models, ensuring compliance and ethical standards Integrate AI models with IT and finance systems … systems, adhering to financial regulation requirements Educate and support finance stakeholders in understanding AI capabilities and limitations Profile Degree in a relevant field; advanced qualifications in AI (Machine Learning, Data Science, or Finance) Proven experience in finance-related roles and familiarity with financial processes Strong knowledge of machine learning techniques and generative AI applications Experience working with stakeholders More ❯

biostatistics or infectious disease modelling and experience of programming in R/R Studio. Essential criteria for appointment include: - PhD in a relevant quantitative topic (e.g. epidemiology, biostatistics, health data science, infectious disease modelling, computer science or applied mathematics) - Ability to develop and encourage the commitment to learn in others and to present material to a range More ❯

on the lookout for energetic, creative people to join our team. Your New Role We are seeking a Senior Director of Analytics to lead the team responsible for overseeing data analytics across Content, Subscriber Growth, and Market Portfolio analytics. As an integral member of the DTC EMEA Digital Analytics & Insights team, you will ensure the delivery of impactful insights … from our platform data across the region, as well as being a key partner for Subscriber Growth functions and all WBD local market teams across the region. The role requires exceptional analytical skills, stakeholder management, and team leadership skills. The individual must be able to interface effectively with multiple levels of management, ranging from global and regional executives to … consistent approach to prioritisation across all Analytics verticals and with business stakeholders Build strong relationships with numerous global Analytics teams (Content and Subscriber Engagement, Marketing, Product, Subscription Analytics and Data Science), and identify opportunities for EMEA Analytics work to be deployed globally, or to drive global projects Be accountable for technical robustness, consistency and accuracy of analyses across More ❯

s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities … technical and strategic skills. Continuous Deployment: Work iteratively, supported by high test coverage, and contribute to the team's frequent deployment cycles (averaging more than once per day). Data-Driven Decision-Making: Use hypothesis testing and metrics such as issuance and profitability to quickly iterate and optimise our approach. The projects Operational processes and workflow automation: Improve Broker … as a senior engineer working in small, high-performing teams alongside engineers from other disciplines. Experience with relational databases (ideally PostgreSQL). Bonus: Experience with Django An understanding of data analysis and statistics. A strong numerical or technical background, underpinned by a degree in maths, physics, computer science, engineering, or similar industry experience. The salary We expect to More ❯

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance … shape industry norms, and solve complex and distinctive technical problems. The team is looking for a Senior Software Engineer to join our expanding quality engineering efforts across the Ads, Data, and eCommerce domains. As part of our mission to scale automation and enhance quality across diverse systems, this role will focus on building robust test automation frameworks and quality … s unique needs. In Ads, your work will help ensure that ad delivery systems serve relevant, timely, and high-quality advertisements, maximizing both viewer satisfaction and business revenue. For Data, you'll ensure the integrity and performance of large-scale pipelines that power analytics and insights used across the organization. In eCommerce, you'll help maintain seamless shopping experiences More ❯

team to ensure optimal delivery and satisfaction. The ideal candidate should have a minimum of 5 years of experience in project management, client relationship management, and demonstrable expertise in data analytics, particularly within the realm of marketing effectiveness and Marketing Mix Modelling (MMM). The Client Success Manager should be able to work in a fast-paced environment, manage … a proactive approach to identifying and resolving issues. The successful candidate should have a deep understanding of the Marketing Effectiveness and analytics industry, with specific knowledge of MMM methodologies, data requirements, and interpretation of model outputs. They should be up to date with the latest trends and developments in marketing measurement. They should be able to interpret complex data … business recommendations. The Client Success Manager should be a team player and possess effective communication and interpersonal skills to collaborate effectively with cross-functional teams, including dedicated analytics and data science teams. Key Activities & Accountabilities Drive optimal client project processes for work delivery and client satisfaction, specifically for projects involving advanced analytics and MMM. Deliver high-quality client More ❯

team to ensure optimal delivery and satisfaction. The ideal candidate should have a minimum of 5 years of experience in project management, client relationship management, and demonstrable expertise in data analytics, particularly within the realm of marketing effectiveness and Marketing Mix Modelling (MMM). The Client Success Manager should be able to work in a fast-paced environment, manage … a proactive approach to identifying and resolving issues. The successful candidate should have a deep understanding of the Marketing Effectiveness and analytics industry, with specific knowledge of MMM methodologies, data requirements, and interpretation of model outputs. They should be up to date with the latest trends and developments in marketing measurement. They should be able to interpret complex data … business recommendations. The Client Success Manager should be a team player and possess effective communication and interpersonal skills to collaborate effectively with cross-functional teams, including dedicated analytics and data science teams. Key Activities & Accountabilities Drive optimal client project processes for work delivery and client satisfaction, specifically for projects involving advanced analytics and MMM. Deliver high-quality client More ❯

Requirements The engineering challenge is building systems reliable enough to power these high-stakes decisions. You'll work across data pipelines processing billions of tokens, real-time simulation platforms, and B2B SaaS products that make complex AI feel intuitive , (Desirable) Experience with Python, TypeScript/JavaScript, PostgreSQL, or Google Cloud Platform , Strong software engineering fundamentals with experience in modern … programming languages , (Desirable) Background in building scalable systems, APIs, and data-intensive applications , Proven track record of shipping production software and taking ownership of systems end-to-end , (Desirable) Familiarity with AI/ML systems, large language models, or high-throughput data processing , Experience working collaboratively in cross-functional teams with diverse technical backgrounds , (Desirable) Experience with GitHub … Actions, CI/CD pipelines, monitoring, and observability , Strong problem-solving skills with the ability to debug and optimize systems across different domains , (Desirable) Interest in market research, behavioral science, or business applications of AI , Excellent communication skills and genuine interest in understanding client and business needs , Comfortable working in dynamic environments where business priorities drive technical decisions , Willingness More ❯