801 to 825 of 1,498 Data Science Jobs in the UK

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data scientists, and part working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that … can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into More ❯

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data scientists, and part working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that … can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into More ❯

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data scientists, and part working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that … can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into More ❯

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data scientists, and part working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that … can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into More ❯

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data scientists, and part working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that … can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into More ❯

shaping and growing our information warfare research and development portfolio. What You'll Do The Senior Applied Scientist position sits within the Innovation portfolio, where cross-disciplinary teams of data and computer-scientists, engineers and strategists work together to research, design, build and support projects and services across the Spectrum Management, Electromagnetic Warfare (EW) and Information Warfare (IW) domains. … What You'll Bring You are an active researcher in a relevant discipline (behavioural science, applied mathematics or data science, for example) with a social science focus, and are passionate about developing and applying leading edge theory and technology to real-world problems in the national interest. You prefer to work collaboratively in cross disciplinary teams … to achieve complex objectives. Desirable Knowledge and Skills Science : Contribute to the organisation's research goals by leading and conducting research into approaches for: Cognitive behavioural modelling and computational psychology to simulate human-decision making and human-AI teaming. Improve workflow integration; and more broadly, identifying information/influence campaigns. Forecasting the reach and impact of such campaigns, understanding More ❯

language models and insights at the intersection of empirical finance and natural language processing to create decision-relevant metrics that address critical investor needs and enhance our index and data offerings. In partnership with Scientific Beta’s established team in quantitative finance research and its product design teams, you will be instrumental in driving the research, development, validation and … apply state-of-the-art language models to extract relevant information and integrate academic insights on the validity of measures. Collaborate with Scientific Beta’s domain experts in investment science to ensure the developed metrics are relevant to investment decisions and aligned with economic principles. Communicate complex NLP methodologies to non-technical audiences and contribute to Scientific Beta’s … statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

language models and insights at the intersection of empirical finance and natural language processing to create decision-relevant metrics that address critical investor needs and enhance our index and data offerings. In partnership with Scientific Beta’s established team in quantitative finance research and its product design teams, you will be instrumental in driving the research, development, validation and … apply state-of-the-art language models to extract relevant information and integrate academic insights on the validity of measures. Collaborate with Scientific Beta’s domain experts in investment science to ensure the developed metrics are relevant to investment decisions and aligned with economic principles. Communicate complex NLP methodologies to non-technical audiences and contribute to Scientific Beta’s … statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

language models and insights at the intersection of empirical finance and natural language processing to create decision-relevant metrics that address critical investor needs and enhance our index and data offerings. In partnership with Scientific Beta’s established team in quantitative finance research and its product design teams, you will be instrumental in driving the research, development, validation and … apply state-of-the-art language models to extract relevant information and integrate academic insights on the validity of measures. Collaborate with Scientific Beta’s domain experts in investment science to ensure the developed metrics are relevant to investment decisions and aligned with economic principles. Communicate complex NLP methodologies to non-technical audiences and contribute to Scientific Beta’s … statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

language models and insights at the intersection of empirical finance and natural language processing to create decision-relevant metrics that address critical investor needs and enhance our index and data offerings. In partnership with Scientific Beta’s established team in quantitative finance research and its product design teams, you will be instrumental in driving the research, development, validation and … apply state-of-the-art language models to extract relevant information and integrate academic insights on the validity of measures. Collaborate with Scientific Beta’s domain experts in investment science to ensure the developed metrics are relevant to investment decisions and aligned with economic principles. Communicate complex NLP methodologies to non-technical audiences and contribute to Scientific Beta’s … statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

language models and insights at the intersection of empirical finance and natural language processing to create decision-relevant metrics that address critical investor needs and enhance our index and data offerings. In partnership with Scientific Beta’s established team in quantitative finance research and its product design teams, you will be instrumental in driving the research, development, validation and … apply state-of-the-art language models to extract relevant information and integrate academic insights on the validity of measures. Collaborate with Scientific Beta’s domain experts in investment science to ensure the developed metrics are relevant to investment decisions and aligned with economic principles. Communicate complex NLP methodologies to non-technical audiences and contribute to Scientific Beta’s … statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

sustainable business performance Transforming organisations and develop future sport leaders Driving increased and more effective funding into sport Achieving lasting positive change in society Overview We are expanding our Data & AI team and are looking for a Senior Data Scientist to join the team. You will lead analytical workstreams on client projects, help productionise workflows and mentor more … making across sporting performance, commercial and operations. We are looking for someone proactive, excited by the opportunity of working in a growing team, and who loves sport. Responsibilities: Lead data science workstreams on client projects, managing analysts and collaborating with consultants Develop and deploy statistical models and core IP Build reusable tools to streamline analysis and visualisation Communicate More ❯

sustainable business performance Transforming organisations and develop future sport leaders Driving increased and more effective funding into sport Achieving lasting positive change in society Overview We are expanding our Data & AI team and are looking for a Senior Data Scientist to join the team. You will lead analytical workstreams on client projects, help productionise workflows and mentor more … making across sporting performance, commercial and operations. We are looking for someone proactive, excited by the opportunity of working in a growing team, and who loves sport. Responsibilities: Lead data science workstreams on client projects, managing analysts and collaborating with consultants Develop and deploy statistical models and core IP Build reusable tools to streamline analysis and visualisation Communicate More ❯

sustainable business performance Transforming organisations and develop future sport leaders Driving increased and more effective funding into sport Achieving lasting positive change in society Overview We are expanding our Data & AI team and are looking for a Senior Data Scientist to join the team. You will lead analytical workstreams on client projects, help productionise workflows and mentor more … making across sporting performance, commercial and operations. We are looking for someone proactive, excited by the opportunity of working in a growing team, and who loves sport. Responsibilities: Lead data science workstreams on client projects, managing analysts and collaborating with consultants Develop and deploy statistical models and core IP Build reusable tools to streamline analysis and visualisation Communicate More ❯

sustainable business performance Transforming organisations and develop future sport leaders Driving increased and more effective funding into sport Achieving lasting positive change in society Overview We are expanding our Data & AI team and are looking for a Senior Data Scientist to join the team. You will lead analytical workstreams on client projects, help productionise workflows and mentor more … making across sporting performance, commercial and operations. We are looking for someone proactive, excited by the opportunity of working in a growing team, and who loves sport. Responsibilities: Lead data science workstreams on client projects, managing analysts and collaborating with consultants Develop and deploy statistical models and core IP Build reusable tools to streamline analysis and visualisation Communicate More ❯

sustainable business performance Transforming organisations and develop future sport leaders Driving increased and more effective funding into sport Achieving lasting positive change in society Overview We are expanding our Data & AI team and are looking for a Senior Data Scientist to join the team. You will lead analytical workstreams on client projects, help productionise workflows and mentor more … making across sporting performance, commercial and operations. We are looking for someone proactive, excited by the opportunity of working in a growing team, and who loves sport. Responsibilities: Lead data science workstreams on client projects, managing analysts and collaborating with consultants Develop and deploy statistical models and core IP Build reusable tools to streamline analysis and visualisation Communicate More ❯

Senior Data Scientist Behavioral Credit Modelling Hybrid working London offices Up to £75,000 DOE + Benefits Ref: J12979 Working with a consumer finance company that's changing the way credit's done. Fairer, simpler, and powered by data. Think challenger fintech with a real focus on transparency and impact. The role You'll take full ownership of model … ML models that directly influence decisions across underwriting, fraud, and customer conversion. It's hands-on, end-to-end, and you'll be working with both structured and unstructured data in a fast-moving, collaborative team. What we're looking for Strrong Python (pandas, sklearn, etc.) and advanced SQL Experience building behavioural or credit models Solid understanding of ML … algorithms (not just how to run them) Clear communicator across tech and non-tech teams Awareness of data drift and model monitoring Amazing visualization skills; ideas need to land Bachelor's degree in computer science, Mathematics, Statistics, or related field Bonus points for Credit card or consumer finance experience Exposure to deep learning (Keras, TensorFlow) Git, Tableau, Bitbucket More ❯

Data Engineer – Manchester (Hybrid) Up to £55K to £65,000 + Bonus, 10% pension, 25+ Days HolidayPyspark | Databricks | SQL Shape the future of travel with data. Join a tech-led company that’s reimagining how millions experience travel. This is your chance to work on high-impact data projects that drive smarter decisions across product, operations, and commercial … teams — all while growing your skills in a modern, cloud-first environment. Why This Role Stands Out: You’ll build scalable, production-grade data pipelines using PySpark , SQL , and Databricks Your work will directly power analytics, BI, and data science across the business You’ll be part of a collaborative, forward-thinking data team that values … experimentation and clean engineering You’ll get space to grow, learn new tools, and make a real impact What You’ll Bring: 2–5 years’ experience in data engineering or similar Strong PySpark and advanced SQL skills Hands-on experience with Databricks and building ETL/ELT pipelines Familiarity with CI/CD and version control Bonus Points For More ❯

Your new company An exciting opportunity has arisen for an experienced Data Solution Architect to join our National Data and Analytics (NDA) Platform & Engineering Team for a progressive organisation based in Warwickshire. Here they're building a smarter, data-driven future, and you could be a vital part of it. Your new role As a Data Solution Architect, you'll work in a highly skilled, collaborative environment with access to end-to-end business data. You'll: Lead the design and implementation of data warehousing solutions Develop robust data models, ETL pipelines, and data integration processes Take end-to-end ownership of demand delivery Provide technical mentorship and support (2nd/3rd … line) Collaborate with business partners, data scientists, and report developers to deliver impactful, data-driven solutions What you'll need to succeed We're looking for someone with strong technical expertise and a passion for solving complex business problems. You'll bring: Strong experience with SQL, SQL Server DB, Python, and PySpark Proficiency in Azure Data Factory More ❯

Principal Data Scientist Up to £150,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to … updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. … How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

Principal Data Scientist Up to £150,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to … updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. … How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

Principal Data Scientist Up to £150,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to … updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. … How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

Principal Data Scientist Up to £150,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to … updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. … How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

Role Description: We're looking for a forward-thinking Product Manager to lead the end-to-end development of a greenfield MLOps platform tailored for the fast-paced and data-intensive world of AdTech. This is a unique opportunity to architect a foundational capability that will power advanced machine learning use cases across our advertising ecosystem. Key Responsibilities: Define … vision and roadmap for a brand-new MLOps platform, built from the ground up to support scalable, secure, and efficient ML model development, deployment, and monitoring. Work closely with data science, engineering, analytics, and AdOps teams to understand current workflows and identify opportunities to streamline and automate the ML lifecycle. Assess existing data, analytics, and infrastructure frameworks … cases including: Marketing Mix Modeling (MMM) Real-time personalization and bidding Audience segmentation and targeting Predictive analytics for campaign performance Ensure seamless integration with Order Management Systems (OMS), Customer Data Platforms (CDPs), Data Warehouses (e.g., BigQuery), and custom BI tools to support real-time and batch model consumption. Translate business needs into detailed product requirements, user stories, and More ❯

Senior Data Analyst/Insight Analyst - Contract - Predictive Modelling Rate: £370-£400/day (Outside IR35) Location: Remote-first (occasional office visits) Start Date: ASAP | Duration: Initial contract, likely extension The Role We're seeking a Senior Data/Insight Analyst with strong predictive modelling and recommendation engine experience to help build an in-house personalised advertising platform … incremental targeting beyond repeat-purchase patterns. Apply predictive analytics to customer behaviour & purchase history. Use Python (essential), SQL , and ideally PySpark to deliver insights. Collaborate with Product, Content, and Data Science to align models with business goals. Translate data into clear, actionable insights. (Bonus) Explore AI-driven ad content opportunities. What We're Looking For Proven experience … with predictive modelling/recommender systems . Strong Python & SQL skills (essential). Exposure to PySpark (desirable). Strong communicator with ability to link data to business outcomes. (Bonus) Experience with Generative AI or content automation. More ❯