1,201 to 1,225 of 2,386 Data Science Jobs in the UK

Data Engineer Sports Betting Location: London - Hybrid Salary: 100,000 + Bonus + Benefits A leading name in the sports betting industry is looking for a talented Data Engineer to help design, build, and scale data solutions that power trading, risk, and customer insight models. Youll play a central role in transforming raw data into actionable … intelligence, working closely with data scientists, quants, and business stakeholders to shape cutting-edge betting products. Build and optimise data pipelines and ETL workflows in AWS using Python and SQL. Design and maintain data models supporting trading, risk, and customer behaviour analytics. Develop Power BI dashboards to provide insights across trading and product teams. Ensure high standards … of data governance, quality, and scalability. Proven experience as a Data Engineer in sports betting, gaming, or a similar high-volume data environment. Strong coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools More ❯

ML Ops Engineer Remote (Occasional London Meetups) | Full-Time, Permanent | UK Based | Cannot sponsor Specialising in Azure ML, Data Integration & Scalable ML Ops Are you an experienced ML Ops Engineer with a passion for deploying scalable machine learning solutions in Azure? This remote-first role (with occasional meetups in London) offers the opportunity to work on impactful data … pensions advisory space. About the Role Youll be part of a forward-thinking analytics team that supports over 1,400 pension schemes and delivers insights using advanced technology and data science. We value innovation, collaboration, and continuous learning. Please note: We are unable to offer visa sponsorship for this role. Applicants must have the right to work in the … UK. Key Responsibilities Azure ML Operations : Design, deploy, and manage ML models in production using Azure ML . Data Integration : Build and maintain data pipelines using SQL and Azure Data Factory (ADF) . ML Ops : Implement CI/CD workflows, monitor model performance, and manage retraining pipelines. Python Development : Write clean, scalable code and manage version control More ❯

ML Ops Engineer Remote (Occasional London Meetups) | Full-Time, Permanent | UK Based | Cannot sponsor Specialising in Azure ML, Data Integration & Scalable ML Ops Are you an experienced ML Ops Engineer with a passion for deploying scalable machine learning solutions in Azure? This remote-first role (with occasional meetups in London) offers the opportunity to work on impactful data … advisory space. About the Role You’ll be part of a forward-thinking analytics team that supports over 1,400 pension schemes and delivers insights using advanced technology and data science. We value innovation, collaboration, and continuous learning. Please note: We are unable to offer visa sponsorship for this role. Applicants must have the right to work in the … UK. Key Responsibilities Azure ML Operations : Design, deploy, and manage ML models in production using Azure ML . Data Integration : Build and maintain data pipelines using SQL and Azure Data Factory (ADF) . ML Ops : Implement CI/CD workflows, monitor model performance, and manage retraining pipelines. Python Development : Write clean, scalable code and manage version control More ❯

ML Ops Engineer Remote (Occasional London Meetups) | Full-Time, Permanent | UK Based | Cannot sponsor Specialising in Azure ML, Data Integration & Scalable ML Ops Are you an experienced ML Ops Engineer with a passion for deploying scalable machine learning solutions in Azure? This remote-first role (with occasional meetups in London) offers the opportunity to work on impactful data … advisory space. About the Role You'll be part of a forward-thinking analytics team that supports over 1,400 pension schemes and delivers insights using advanced technology and data science. We value innovation, collaboration, and continuous learning. Please note: We are unable to offer visa sponsorship for this role. Applicants must have the right to work in the … UK. Key Responsibilities Azure ML Operations : Design, deploy, and manage ML models in production using Azure ML . Data Integration : Build and maintain data pipelines using SQL and Azure Data Factory (ADF) . ML Ops : Implement CI/CD workflows, monitor model performance, and manage retraining pipelines. Python Development : Write clean, scalable code and manage version control More ❯

Platform scenarios. Its fast-paced, hands-on, and ideal for an engineer who thrives on experimentation and shipping usable prototypes quickly. Key Skills and Experience Bachelors degree in Computer Science, AI, Data Science, Engineering, or equivalent practical experience. 35 years hands-on experience building AI-powered solutions with a strong rapid-prototyping focus. Proficiency with Copilot Studio … AI services, and Power Automate. Experience integrating AI into Dynamics 365 or Power Apps (strong plus). Exposure to GPT-based solutions (Azure OpenAI) and knowledge of REST APIs, data connectors, and plug-in frameworks. Rapid solutioning from idea to POC/MVP; pragmatic engineering with an eye on reliability and extensibility. Ability to translate technical capability into user More ❯

It’s fast-paced, hands-on, and ideal for an engineer who thrives on experimentation and shipping usable prototypes quickly. Key Skills and Experience Bachelor’s degree in Computer Science, AI, Data Science, Engineering, or equivalent practical experience. 3–5 years’ hands-on experience building AI-powered solutions with a strong rapid-prototyping focus. Proficiency with Copilot … AI services, and Power Automate. Experience integrating AI into Dynamics 365 or Power Apps (strong plus). Exposure to GPT-based solutions (Azure OpenAI) and knowledge of REST APIs, data connectors, and plug-in frameworks. Rapid solutioning from idea to POC/MVP; pragmatic engineering with an eye on reliability and extensibility. Ability to translate technical capability into user More ❯

DATA PRODUCT MANAGER - LONDON UP TO £100,000 THE COMPANY An opportunity to work with a market-leading AI SaaS business. THE ROLE The successful Data Product Manager responsibilities will include: Own the data product roadmap and articulate the vision for the data platform. Conduct discovery sessions to align on business and technical priorities. Manage internal … data projects with high customer impact. Oversee data model management and ensure alignment with quality and performance goals. Collaborate cross-functionally with PMs, Data Scientists, Engineers, and Designers. YOUR SKILLS AND EXPERIENCE The successful Data Product Manager will have the following skills and experience: Strong data and analytics background, comfortable discussing data architecture and … ML workflows with engineers. Experience managing large-scale data platforms and high-volume data pipelines. Prior experience working in product companies (ideally SaaS, digital, or consumer tech). Strong understanding of product development lifecycle and agile processes. Excellent communication and presentation skills - able to explain technical topics to non-technical audiences. Must have worked closely with engineers and More ❯

Data QA Engineer We are seeking a QA Engineer with a strong background in data and analytics to help ensure the accuracy and reliability of both data pipelines and machine learning models . This role combines hands-on testing, automation, and close collaboration with engineering and data teams. About the Role You’ll take ownership of … quality assurance for data pipelines; you’ll have a strong understanding of SQL to verify data consistency and accuracy. You’ll support with automated QA solutions for data pipelines and testing the outputs of ML models. Responsibilities Design, develop, and execute comprehensive test plans and test cases for data pipelines and ML models. Implement and maintain … automated testing frameworks for data and ML quality assurance Perform thorough manual testing during initial development and complex feature releases Collaborate closely with Data Engineers, Data Scientists, and Product Managers Proactively identify, document, and track bugs and quality issues. Participate in code reviews and provide constructive feedback from a QA perspective. What We’re Looking For 2+ More ❯

Data QA Engineer We are seeking a QA Engineer with a strong background in data and analytics to help ensure the accuracy and reliability of both data pipelines and machine learning models . This role combines hands-on testing, automation, and close collaboration with engineering and data teams. About the Role You’ll take ownership of … quality assurance for data pipelines; you’ll have a strong understanding of SQL to verify data consistency and accuracy. You’ll support with automated QA solutions for data pipelines and testing the outputs of ML models. Responsibilities Design, develop, and execute comprehensive test plans and test cases for data pipelines and ML models. Implement and maintain … automated testing frameworks for data and ML quality assurance Perform thorough manual testing during initial development and complex feature releases Collaborate closely with Data Engineers, Data Scientists, and Product Managers Proactively identify, document, and track bugs and quality issues. Participate in code reviews and provide constructive feedback from a QA perspective. What We’re Looking For 2+ More ❯

Data QA Engineer We are seeking a QA Engineer with a strong background in data and analytics to help ensure the accuracy and reliability of both data pipelines and machine learning models . This role combines hands-on testing, automation, and close collaboration with engineering and data teams. About the Role You’ll take ownership of … quality assurance for data pipelines; you’ll have a strong understanding of SQL to verify data consistency and accuracy. You’ll support with automated QA solutions for data pipelines and testing the outputs of ML models. Responsibilities Design, develop, and execute comprehensive test plans and test cases for data pipelines and ML models. Implement and maintain … automated testing frameworks for data and ML quality assurance Perform thorough manual testing during initial development and complex feature releases Collaborate closely with Data Engineers, Data Scientists, and Product Managers Proactively identify, document, and track bugs and quality issues. Participate in code reviews and provide constructive feedback from a QA perspective. What We’re Looking For 2+ More ❯

Data QA Engineer We are seeking a QA Engineer with a strong background in data and analytics to help ensure the accuracy and reliability of both data pipelines and machine learning models . This role combines hands-on testing, automation, and close collaboration with engineering and data teams. About the Role You’ll take ownership of … quality assurance for data pipelines; you’ll have a strong understanding of SQL to verify data consistency and accuracy. You’ll support with automated QA solutions for data pipelines and testing the outputs of ML models. Responsibilities Design, develop, and execute comprehensive test plans and test cases for data pipelines and ML models. Implement and maintain … automated testing frameworks for data and ML quality assurance Perform thorough manual testing during initial development and complex feature releases Collaborate closely with Data Engineers, Data Scientists, and Product Managers Proactively identify, document, and track bugs and quality issues. Participate in code reviews and provide constructive feedback from a QA perspective. What We’re Looking For 2+ More ❯

Data QA Engineer We are seeking a QA Engineer with a strong background in data and analytics to help ensure the accuracy and reliability of both data pipelines and machine learning models . This role combines hands-on testing, automation, and close collaboration with engineering and data teams. About the Role You’ll take ownership of … quality assurance for data pipelines; you’ll have a strong understanding of SQL to verify data consistency and accuracy. You’ll support with automated QA solutions for data pipelines and testing the outputs of ML models. Responsibilities Design, develop, and execute comprehensive test plans and test cases for data pipelines and ML models. Implement and maintain … automated testing frameworks for data and ML quality assurance Perform thorough manual testing during initial development and complex feature releases Collaborate closely with Data Engineers, Data Scientists, and Product Managers Proactively identify, document, and track bugs and quality issues. Participate in code reviews and provide constructive feedback from a QA perspective. What We’re Looking For 2+ More ❯

Senior Data Scientist Up to £80,000 Join a Brand Equity start up that partners with leading CPG and retail brands better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and … computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a key role in standardising AI into a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency More ❯

Senior Data Scientist Up to £80,000 Join a Brand Equity start up that partners with leading CPG and retail brands better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and … computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a key role in standardising AI into a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency More ❯

Senior Data Scientist Up to £80,000 Join a Brand Equity start up that partners with leading CPG and retail brands better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and … computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a key role in standardising AI into a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency More ❯

Senior Data Scientist Up to £80,000 Join a Brand Equity start up that partners with leading CPG and retail brands better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and … computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a key role in standardising AI into a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency More ❯

Senior Data Scientist Up to £80,000 Join a Brand Equity start up that partners with leading CPG and retail brands better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and … computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a key role in standardising AI into a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency More ❯

the people and communities they serve. For you, this means working on challenging projects that demand innovation, collaboration, and thought leadership . Role – This role sits within the Group Data Technology organisation. The team is responsible for creating deep connections between business processes, data, products, services, and technology—the foundation of the bank’s customer interactions and financial … success. You will join a highly skilled, forward-looking team that provides a single comprehensive data cataloguing solution across global business units, while also driving AI and machine learning innovation. Key Responsibilities: Collaborate with engineering and leadership teams on functional and process design , prototyping, testing, training, and support procedures. Document solution architectures and key learnings from exploration and incubation … projects. Conduct AI solution assessments , evaluating approaches and providing actionable recommendations. Develop and optimise classification algorithms and perform data preparation activities. Work in one or more areas of AI expertise , such as image processing, text extraction, clustering, classification, or embedding models. Implement drift detection and model monitoring frameworks (experience with AgentEvals for LLMs is a plus). Key Skills More ❯

the people and communities they serve. For you, this means working on challenging projects that demand innovation, collaboration, and thought leadership . Role – This role sits within the Group Data Technology organisation. The team is responsible for creating deep connections between business processes, data, products, services, and technology—the foundation of the bank’s customer interactions and financial … success. You will join a highly skilled, forward-looking team that provides a single comprehensive data cataloguing solution across global business units, while also driving AI and machine learning innovation. Key Responsibilities: Collaborate with engineering and leadership teams on functional and process design , prototyping, testing, training, and support procedures. Document solution architectures and key learnings from exploration and incubation … projects. Conduct AI solution assessments , evaluating approaches and providing actionable recommendations. Develop and optimise classification algorithms and perform data preparation activities. Work in one or more areas of AI expertise , such as image processing, text extraction, clustering, classification, or embedding models. Implement drift detection and model monitoring frameworks (experience with AgentEvals for LLMs is a plus). Key Skills More ❯

with this knowledge, you will bring your significant expertise to develop our consulting approaches and our talent. About the Company Part of The Brandtech Group, fifty-five is a data company helping brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention. Headquartered in … the range of skills required to support our missions, with particular focus on upskilling the team with the required consulting skills to support large-scale consulting programmes. Developing the data consulting client portfolio: Identifying new revenue and service opportunities in your client base, including but not limited to Data Strategy, Data Science, Datalake, Analytics, Media advisory … projects Pre-sales/Consultative selling: Business development for prospects, and identifying and converting upsell opportunities for new and existing customers Sectorial expertise: Global understanding of customer/client data challenges and proven ability to propose solutions adapted to an industry (consumer goods, retail, travel, etc.) Experience in developing and scaling internal consulting capabilities, defining best practises and applying More ❯

s team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own … initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential. This is an office-based role and as well as very competitive salaries, our client offers an excellent working … environment. PhD in STEM related subject Python, C#, C++, Java Mathematical Modelling Experience in data science (big data, deep learning, machine learning) is beneficial Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy. More ❯

Software Engineering Manager – Data & Analytics Location: Oxfordshire, UK (Hybrid) A growing technology company is seeking a Software Engineering Manager to lead the design and delivery of advanced data and analytics software. This role sits at the intersection of software development, data processing, and engineering leadership, offering the chance to shape technical strategy while remaining hands-on. The … Role: Lead and mentor a small team of software engineers and data specialists. Oversee the design, development, and delivery of high-quality data software. Manage project timelines, priorities, and software quality processes. Collaborate with research and engineering teams to deliver integrated solutions. Drive best practices in coding, testing, and continuous improvement. Contribute technically in Python or similar languages … years in software engineering, including leadership or management experience. Strong programming skills (Python preferred). Proven record of delivering robust, production-grade software systems. Familiarity with scientific or analytical data processing is beneficial. Excellent communication, organisation, and problem-solving skills. Education: Degree in Computer Science, Engineering, or a related technical field. Package: £62,000–£75,000 depending on More ❯

Software Engineering Manager – Data & Analytics Location: Oxfordshire, UK (Hybrid) A growing technology company is seeking a Software Engineering Manager to lead the design and delivery of advanced data and analytics software. This role sits at the intersection of software development, data processing, and engineering leadership, offering the chance to shape technical strategy while remaining hands-on. The … Role: Lead and mentor a small team of software engineers and data specialists. Oversee the design, development, and delivery of high-quality data software. Manage project timelines, priorities, and software quality processes. Collaborate with research and engineering teams to deliver integrated solutions. Drive best practices in coding, testing, and continuous improvement. Contribute technically in Python or similar languages … years in software engineering, including leadership or management experience. Strong programming skills (Python preferred). Proven record of delivering robust, production-grade software systems. Familiarity with scientific or analytical data processing is beneficial. Excellent communication, organisation, and problem-solving skills. Education: Degree in Computer Science, Engineering, or a related technical field. Package: £62,000–£75,000 depending on More ❯

Cervus, our work is meaningful and rewarding, often varied, sometimes complex but always rich with opportunities to learn, grow and improve both as a team and individually. We use data to help our customers make better decisions and take the same evidence led approach to our own development. We’re a UK based, veteran owned data analytics Small … customer sites across Europe (and occasionally further afield) to ensure we stay close to those we serve. Our ideal candidate is comfortable working across the stack, from designing backend data pipelines to building clean, user-friendly front ends. You’ll collaborate with data scientists, product managers, and other engineers to build systems that enable insight, automation, and intelligent … data-driven decision-making at scale. Your main responsibilities will be to: •Design, develop, and maintain full-stack web applications with a focus on data pipelines, analytics dashboards, and reporting tools. •Build scalable RESTful APIs and backend services using modern frameworks and languages (e.g. Python, Node.js, C++). •Develop clean, responsive front-end interfaces using frameworks like Vue.js More ❯

Cervus, our work is meaningful and rewarding, often varied, sometimes complex but always rich with opportunities to learn, grow and improve both as a team and individually. We use data to help our customers make better decisions and take the same evidence led approach to our own development. We’re a UK based, veteran owned data analytics Small … customer sites across Europe (and occasionally further afield) to ensure we stay close to those we serve. Our ideal candidate is comfortable working across the stack, from designing backend data pipelines to building clean, user-friendly front ends. You’ll collaborate with data scientists, product managers, and other engineers to build systems that enable insight, automation, and intelligent … data-driven decision-making at scale. Your main responsibilities will be to: •Design, develop, and maintain full-stack web applications with a focus on data pipelines, analytics dashboards, and reporting tools. •Build scalable RESTful APIs and backend services using modern frameworks and languages (e.g. Python, Node.js, C++). •Develop clean, responsive front-end interfaces using frameworks like Vue.js More ❯