1,326 to 1,350 of 2,396 Data Science Jobs in the UK

/CD pipelines using GitHub Actions. You will be part of a team responsible for designing, implementing, and maintaining scalable, secure, and cost-effective cloud infrastructure to support our data and analytics platform. This role requires a strong background in cloud infrastructure automation, platform governance, and enterprise-grade security and compliance in Azure. Key Responsibilities: Design, build, and manage … controls across cloud resources. Monitor and manage cloud costs using Azure Cost Management, ensuring resources are optimized and within budget. Architect and support Databricks workspaces, focusing on Unity Catalog, data access control, workspace deployment, and platform reliability. Collaborate with data engineering and analytics teams to ensure Databricks is performant, secure, and well-integrated with enterprise systems. Create and … automation. Strong scripting skills (e.g., Python, PowerShell, Bash) and comfort working with APIs and automation tools. Excellent problem-solving and communication skills; ability to work cross-functionally with security, data, and DevOps teams. Nice to Have: Experience with multi-cloud or hybrid cloud architectures. Knowledge of Infrastructure as Code testing frameworks (e.g., Terratest, Checkov). Familiarity with Azure DevOps More ❯

AI/Data Science Engineer | AI & Advanced Analytics | Nottingham (Hybrid) About Want to code for impact? This early-stage AI and analytics company is building intelligent systems that help businesses uncover the true value of their data - and they’re looking for engineers who thrive on solving complex problems and creating real-world change. Their team of … to engineers across all OOP backgrounds (Python is the core language). 📍 Nottingham | Hybrid (2–3 days/week) If you’re ready to build AI systems that make data truly work for people — apply now More ❯

AI/Data Science Engineer | AI & Advanced Analytics | Nottingham (Hybrid) About Want to code for impact? This early-stage AI and analytics company is building intelligent systems that help businesses uncover the true value of their data - and they’re looking for engineers who thrive on solving complex problems and creating real-world change. Their team of … to engineers across all OOP backgrounds (Python is the core language). 📍 Nottingham | Hybrid (2–3 days/week) If you’re ready to build AI systems that make data truly work for people — apply now More ❯

AI/Data Science Engineer | AI & Advanced Analytics | Nottingham (Hybrid) About Want to code for impact? This early-stage AI and analytics company is building intelligent systems that help businesses uncover the true value of their data - and they’re looking for engineers who thrive on solving complex problems and creating real-world change. Their team of … to engineers across all OOP backgrounds (Python is the core language). 📍 Nottingham | Hybrid (2–3 days/week) If you’re ready to build AI systems that make data truly work for people — apply now More ❯

Remote Role Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Scientist - Sustainability The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices through science-backed analytics. Their software provides direct … findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data Engineer to join our client's Sustainability team as the lead technical specialist in our R-focused Research Software Engineering group. You'll create and maintain the technical infrastructure … that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions. Core Functions Lead technical best practices across R package design, code architecture, documentation, and dependency management Establish and oversee versioning and CI/CD systems to enhance team workflows Guide team members in code architecture, development standards, and deployment processes Serve as the technical authority More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate … across teams to ensure data is clean, reliable, and actionable. Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting … needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Enforce data security, compliance, and governance standards in line More ❯

and maintain product differentiation. Communicate NavaX's product strategy and execution priorities across internal and external audiences. Your Experience Bachelor's degree in a technical field such as Computer Science, Engineering, or Data Science; advanced degree (MBA or MSc) preferred. 12+ years of relevant experience, including 5+ years in product leadership roles with a focus on AI … technologies and data-driven platforms. Proven success in delivering AI-enabled products or platforms, ideally within regulated or enterprise environments. Strong understanding of GenAI, LLMs, and emerging AI architectures, with the ability to translate technical capabilities into business impact. Demonstrated ability to lead cross-functional execution across product, engineering, delivery, and commercial teams. Experience in customer-facing roles, including More ❯

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Product Manager, Real-Time Data in the United Kingdom . As a Senior Product Manager for real-time data, you will drive the strategy and execution of event-driven data capabilities that empower users to monitor, analyze, and … Your work will directly impact product adoption, satisfaction, and long-term business success. Accountabilities Develop a deep understanding of business objectives, customer needs, and user behaviors in real-time data contexts. Identify and prioritize key problems to address strategically and competitively. Build and communicate a coherent product strategy and roadmap with measurable objectives. Define detailed product requirements and phased … smooth release to production environments. Qualifications 5+ years of experience in product management roles for B2B SaaS products, preferably with technical users. Strong understanding of cloud technologies, real-time data systems, and SaaS architectures. Experience building products involving real-time data processing, analytics, or AI/ML applications. Knowledge of anomaly detection, predictive analytics, or data science More ❯

Data ScientistHybrid Working - Local Site - 1-2 days a week on site.Financial ServicesLorien's leading banking client is looking for a number of Data Scientists to join them on a new long term project which will be working on GenAI-Powered Digital Assistant programme. What you'll do Collaborate with cross-functional teams to develop and enhance our … Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis - to extract valuable insights from data. Be the driving force behind our data visualisation efforts - whether its Tableau, Power BI, or Cognos you'll create compelling visualisations that bring data to life. Contribute to the development of a fantastic visualisation layer … for analytics, making complex insights accessible and actionable. Key Skills and Experience NLP Mastery Proficiency in LLMs and transformer architecture. Deep understanding of traditional NLP techniques. Data & Visualisation Solid grasp of data visualisation tools (Tableau, Power BI, Cognos, etc.) Proficiency in Python visualisation libraries (Matplotlib, Seaborn.) SQL for data extraction and manipulation. Experience working with large datasets. More ❯

and deliver AI-powered tools that streamline workflows Build and test proof-of-concept applications using Python, JavaScript and Cloud APIs Integrate AI solutions with existing business systems and data platforms Translate business needs into practical, AI-driven solutions that deliver measurable value Develop user guides and documentation for new AI tools Support internal teams through training sessions and … with cross-functional teams to align AI projects with business priorities Share knowledge and mentor colleagues on AI and automation best practices Skills & Experience Degree or background in Computer Science, AI, Software Engineering, or Data Science Strong programming skills (e.g. Python, JavaScript, JSON) Awareness of AI/ML concepts, Large Language Models and prompt engineering Experience with More ❯

and deliver AI-powered tools that streamline workflows Build and test proof-of-concept applications using Python, JavaScript and Cloud APIs Integrate AI solutions with existing business systems and data platforms Translate business needs into practical, AI-driven solutions that deliver measurable value Develop user guides and documentation for new AI tools Support internal teams through training sessions and … with cross-functional teams to align AI projects with business priorities Share knowledge and mentor colleagues on AI and automation best practices Skills & Experience Degree or background in Computer Science, AI, Software Engineering, or Data Science Strong programming skills (e.g. Python, JavaScript, JSON) Awareness of AI/ML concepts, Large Language Models and prompt engineering Experience with More ❯

and deliver AI-powered tools that streamline workflows Build and test proof-of-concept applications using Python, JavaScript and Cloud APIs Integrate AI solutions with existing business systems and data platforms Translate business needs into practical, AI-driven solutions that deliver measurable value Develop user guides and documentation for new AI tools Support internal teams through training sessions and … with cross-functional teams to align AI projects with business priorities Share knowledge and mentor colleagues on AI and automation best practices Skills & Experience Degree or background in Computer Science, AI, Software Engineering, or Data Science Strong programming skills (e.g. Python, JavaScript, JSON) Awareness of AI/ML concepts, Large Language Models and prompt engineering Experience with More ❯

Databricks Tech Lead – Azure Data Engineering (Contract) We are looking for a highly technical, hands-on Databricks Tech Lead to join a large-scale digital transformation programme within the Energy Trading space. This role will focus on building, optimising, and scaling a data lake on Azure with particular emphasis on streaming pipelines, Delta Live Tables (DLT), and cost … efficient architecture. Role: Designing and developing streaming and batch data pipelines in Databricks (including DLT). Managing structured streaming in continuous mode, ensuring low-latency data delivery. Collaborating with architects, consultants, and business stakeholders to build a unified Azure-based lakehouse. Troubleshooting and optimising performance bottlenecks in high-volume streaming systems. Applying best practices for cloud cost management … and efficient Databricks resource usage. Integrating data from on-prem and cloud sources using tools like Qlik Replicate (CDC). Supporting future phases involving data science and machine learning enablement. Tech Environment Platform: Azure Core Tools: Databricks, Delta Live Tables, Qlik Replicate (CDC) Architecture: Hybrid (on-prem + cloud) Data Modes: Real-time streaming & batch jobs More ❯

rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. About the Role: You will work closely with our Product team and Data Scientists to define and execute on the future path for our products. Responsibilities Work closely with senior engineers to design, build, and maintain back-end services and systems that … support our AI-powered products, all whilst meeting launch deadlines. Assist in the development and optimization of scalable, high-performance systems to support large volumes of data and machine learning models. Write clean, efficient, and maintainable code while following best practices and coding standards. Contribute to the deployment and integration of back-end services, ensuring that they work seamlessly … with front-end and data science systems. Help improve the architecture and functionality of our back-end systems, focusing on performance, reliability, and scalability. Assist with debugging and troubleshooting technical issues, providing solutions to enhance system performance. Collaborate with cross-functional teams to identify system needs and contribute to continuous improvements. Continuously learn and apply new technologies and More ❯

Databricks Tech Lead – Azure Data Engineering (Contract) We are looking for a highly technical, hands-on Databricks Tech Lead to join a large-scale digital transformation programme within the Energy Trading space. This role will focus on building, optimising, and scaling a data lake on Azure with particular emphasis on streaming pipelines, Delta Live Tables (DLT), and cost … efficient architecture. Role: Designing and developing streaming and batch data pipelines in Databricks (including DLT). Managing structured streaming in continuous mode, ensuring low-latency data delivery. Collaborating with architects, consultants, and business stakeholders to build a unified Azure-based lakehouse. Troubleshooting and optimising performance bottlenecks in high-volume streaming systems. Applying best practices for cloud cost management … and efficient Databricks resource usage. Integrating data from on-prem and cloud sources using tools like Qlik Replicate (CDC). Supporting future phases involving data science and machine learning enablement. Tech Environment Platform: Azure Core Tools: Databricks, Delta Live Tables, Qlik Replicate (CDC) Architecture: Hybrid (on-prem + cloud) Data Modes: Real-time streaming & batch jobs More ❯

Databricks Tech Lead – Azure Data Engineering (Contract) We are looking for a highly technical, hands-on Databricks Tech Lead to join a large-scale digital transformation programme within the Energy Trading space. This role will focus on building, optimising, and scaling a data lake on Azure with particular emphasis on streaming pipelines, Delta Live Tables (DLT), and cost … efficient architecture. Role: Designing and developing streaming and batch data pipelines in Databricks (including DLT). Managing structured streaming in continuous mode, ensuring low-latency data delivery. Collaborating with architects, consultants, and business stakeholders to build a unified Azure-based lakehouse. Troubleshooting and optimising performance bottlenecks in high-volume streaming systems. Applying best practices for cloud cost management … and efficient Databricks resource usage. Integrating data from on-prem and cloud sources using tools like Qlik Replicate (CDC). Supporting future phases involving data science and machine learning enablement. Tech Environment Platform: Azure Core Tools: Databricks, Delta Live Tables, Qlik Replicate (CDC) Architecture: Hybrid (on-prem + cloud) Data Modes: Real-time streaming & batch jobs More ❯

Databricks Tech Lead – Azure Data Engineering (Contract) We are looking for a highly technical, hands-on Databricks Tech Lead to join a large-scale digital transformation programme within the Energy Trading space. This role will focus on building, optimising, and scaling a data lake on Azure with particular emphasis on streaming pipelines, Delta Live Tables (DLT), and cost … efficient architecture. Role: Designing and developing streaming and batch data pipelines in Databricks (including DLT). Managing structured streaming in continuous mode, ensuring low-latency data delivery. Collaborating with architects, consultants, and business stakeholders to build a unified Azure-based lakehouse. Troubleshooting and optimising performance bottlenecks in high-volume streaming systems. Applying best practices for cloud cost management … and efficient Databricks resource usage. Integrating data from on-prem and cloud sources using tools like Qlik Replicate (CDC). Supporting future phases involving data science and machine learning enablement. Tech Environment Platform: Azure Core Tools: Databricks, Delta Live Tables, Qlik Replicate (CDC) Architecture: Hybrid (on-prem + cloud) Data Modes: Real-time streaming & batch jobs More ❯

Databricks Tech Lead – Azure Data Engineering (Contract) We are looking for a highly technical, hands-on Databricks Tech Lead to join a large-scale digital transformation programme within the Energy Trading space. This role will focus on building, optimising, and scaling a data lake on Azure with particular emphasis on streaming pipelines, Delta Live Tables (DLT), and cost … efficient architecture. Role: Designing and developing streaming and batch data pipelines in Databricks (including DLT). Managing structured streaming in continuous mode, ensuring low-latency data delivery. Collaborating with architects, consultants, and business stakeholders to build a unified Azure-based lakehouse. Troubleshooting and optimising performance bottlenecks in high-volume streaming systems. Applying best practices for cloud cost management … and efficient Databricks resource usage. Integrating data from on-prem and cloud sources using tools like Qlik Replicate (CDC). Supporting future phases involving data science and machine learning enablement. Tech Environment Platform: Azure Core Tools: Databricks, Delta Live Tables, Qlik Replicate (CDC) Architecture: Hybrid (on-prem + cloud) Data Modes: Real-time streaming & batch jobs More ❯

checking through all the related job information below. This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Scientist - Sustainability The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices through science-backed analytics. Their … findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data Engineer to join our client's Sustainability team as the lead technical specialist in our R-focused Research Software Engineering group. You'll create and maintain the technical infrastructure … that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions. Core Functions Lead technical best practices across R package design, code architecture, documentation, and dependency management Establish and oversee versioning and CI/CD systems to enhance team workflows Guide team members in code architecture, development standards, and deployment processes Serve as the technical authority More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate … across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and … reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate … across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and … reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate … across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and … reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate … across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and … reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate … across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and … reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control More ❯

re partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. You ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams with reliable, high-quality … data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data 3+ years in Analytics …/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow). EMI share options Training budget Private healthcare Pension More ❯