Trainee Data Scientist - No Experience Required Are you looking to kick-start a new career as a Data Scientist We are recruiting for companies who are looking to employ our DataScience Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be … pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full DataScience Career Training You will begin your datascience journey by studying a selection of industry-recognized courses that will take you from beginner level all … the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career dataMore ❯
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised DataScience Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand … for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector More ❯
Leeds, England, United Kingdom Hybrid / WFH Options
Ruby Magpie
Data Scientist – Quantitative Hybrid (1 - 3 days in Leeds office, rest at home) | Full-time | Permanent Salary: £50-60k + excellent benefits An exciting opportunity has opened up at a fast-growing insight and strategy consultancy for an experienced Data Scientist to lead the development of their in-house datascience capabilities. This is a … strategists, and analysts – all passionate about delivering actionable insight and tackling complex questions. The consultancy is known for its bespoke, high-quality approach and is now expanding into deeper data-led offerings. The Role This is a hands-on, strategic position reporting into a senior leader within the Quant team. You'll work across a mix of project delivery … innovation, and team development – helping shape everything from statistical capability to the company’s broader data vision. You’ll work on: Advanced analytics projects (segmentation, conjoint, MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic data and machine More ❯
Senior Data Ops Data EngineerLeeds 2/3 days per week£55,000-£67,000+ Excellent Benefits18 Months FTC with long term potential Your New Company Our large public sector organisation are seeking a senior Data Platform DataOps Engineer to serve as our clients first DataOps specialist in a growing team of Data Engineers and DevOps … professionals.In this pivotal role, you will focus on operationalising and automating their data lifecycle to ensure that data workflows perform with reliability and efficiency. You will integrate CI/CD data pipelines, streamline deployment processes, enforce robust data governance, and optimise operational costs within our Microsoft Azure environment.Your work will be centred on proactive system monitoring … error resolution, and continuous improvements, while mentoring and guiding colleagues. What you will be doing Oversee and automate the operational processes that support data workflows developed by the Data Engineering team while ensuring seamless coordination with the DevOps group. Spearhead the development, integration, and maintenance of CI/CD data pipelines for automated deployments. Integrate best practices More ❯
Lead Data Engineer (Databricks) - Leeds (Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data Engineer, Team Lead, Technical Lead, Senior … Data Engineer, Data Engineer) Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for a Lead Data Engineer with significant Databricks experience as well as leadership responsibility to run an exceptional Agile engineering team and provide technical leadership through coaching and mentorship. We are seeking … a Lead Data Engineer capable of leading client delivery, ensuring the highest standards. This will include working with architects, creating automated tests, instilling a culture of continuous improvement and setting standards for the team. You will be responsible for building a greenfield modern data platform using cutting-edge technologies, architecting big data solutions and developing complex enterprise More ❯
Purpose of the Job: Design, build, and maintain robust data systems and pipelines that support data storage, processing, and analysis on the Cloud. Work with large datasets, ensuring data quality, scalability, and performance, while collaborating. closely with data scientists, analysts, and other engineering teams to understand their data needs and provide them with high-quality … accessible data. They are responsible for ensuring that the underlying data infrastructure supports the organizations broader data and business goals, enabling more effective data-driven decision-making. Key Accountabilities: • Design and implement scalable, efficient, and secure data architectures, ensuring optimal data flow across systems in order to achieve high service levels of support, maintenance and … development. • You will own development and change projects to ensure requirements are met in the most cost-effective manner while minimising associated risk to expected standards. • Responsibly for cloud data platform development, data modelling, shaping and technical planning • You will be a mentor among the owning decision making and evaluation of requirement suitability, facilitate reliable estimates, technical project More ❯
have experience leading the delivery of BI solutions for organisations with multiple stakeholders? Delivering quality assured evidence based insights to inform business decisions? Can you provide technical support and data warehouse maintenance? Do you have experience producing self reporting dashboards in data visualisation environments such as Qlik or Tableau? The role will develop informatics delivery, ensuring user requirements … missions to improve the health and wealth of the nation through research. Main duties of the job Our business intelligence tasks can range in scale from small ad-hoc data requests to long-term, cross-team projects. As part of a small and friendly team your role will allow you to work with the full end-to-end business … intelligence delivery process. From meeting stakeholders and understanding requirements, through data modelling and the ETL process, to data visualisation and generating insight - youll get to experience it all! Main duties will include working with relational databases with MS SQL server and ETL tools such as SSIS. You will also perform analysis of data loads and implement dataMore ❯
Leeds, West Yorkshire, Yorkshire, United Kingdom Hybrid / WFH Options
Fdo Consulting Limited
Senior Databricks Data Engineer (Mid Level roles also available), £ 50000 - 65000 + benefits. SQL Performance Tuning, Databricks. Home Based with one day a month at the office in Nottingham. Strong commercial knowledge of Databricks is required for this role. Expanding SaaS product company are looking for a number of Data Engineer as they continue to grow. In these … hands-on roles you will be part of the team responsible for designing, creating, deploying and managing the companies data assets and you will guide and influence other members of the data engineering team with the ultimate goal of writing excellent quality, clean and high performant code. Responsibilities include - Work with the Data Architects and Data team to determine technical delivery and functionality. Design data solutions based on optimal performance, scalability and reliability. Create, optimise and maintain logical and physical data models, including data warehouses and data lakes. Design and manage the data integration process. Work with the team to improve their skills and knowledge (mentoring, training coaching, etc) Contribute More ❯
Job Title: Data Scientist Job Type: Permanent Location: York or Manchester (UK) About the Role This role offers the opportunity to work across diverse business areas, building machine learning and statistical solutions that drive real business value. You'll join a cross-functional team of data scientists, engineers, and analysts using agile methods. As a Data Scientist … to pricing, decision-making, policy management, and more. You'll be expected to both build models and communicate their value clearly to the business. Key Responsibilities Apply the full datascience lifecycle: from problem design to model deployment and monitoring. Build production-grade machine learning models and manage their lifecycle (monitoring, retraining, etc.). Analyse diverse datasets (internal … and 3rd party), applying statistical and machine learning methods. Collaborate with pricing teams, data engineers, and business units to deliver value. Write high-quality Python code following best practices. Continuously research and apply new tools, techniques, and technologies. Experience with: Cloud deployment,Neural networks and libraries like TensorFlow, XGBoost, CatBoost, SKlearn, API development, SQL,CI/CD, DevOps, or More ❯
SENIOR ANALYTICS ENGINEER UP TO £80,000 + BENEFITS PRIMARILY REMOTE Looking to take ownership of scalable data models, shape a brand-new analytics function, and work with the modern data stack from day one? THE COMPANY: I'm working with a fast-scaling, tech-driven organisation that's investing heavily in its data capabilities. As part … of a wider data transformation, they're building out a dedicated Analytics Engineering team focused on creating scalable, trusted data infrastructure. With strong support from BI, DataScience, and Engineering teams, this function is central to how the business defines and uses data going forward. THE ROLE: You'll help lay the foundations of the … analytics engineering practice-owning your area of the data model, improving data quality, and shaping how data is delivered across the business. Reporting to a highly experienced team lead, you'll work closely with stakeholders across Product, Engineering, and Commercial. Design and build reusable, high-performance data models using dbt Translate business logic into well-documented More ❯
Data Engineer (Databricks) - Leeds (Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Data Engineer) Our client is a global innovator and world leader with one of the most recognisable names within technology. They … are looking for Data Engineers with significant Databricks experience to join an exceptional Agile engineering team. We are seeking a Data Engineer with strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for DataScience (R, Machine Learning and AI). Database experience with SQL and No-SQL … exposure along with SOLID principles. Continuous Integration tools, Infrastructure as code and strong Cloud Platform knowledge, ideally with AWS is also key. We are keen to hear from talented Data Engineer candidates from all backgrounds. This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training More ❯
Leeds, England, United Kingdom Hybrid / WFH Options
Anson McCade
Lead Data Engineer Location: Leeds (hybrid) Salary: Up to £70,000 (depending on experience) + bonus Clearance Requirement: Candidates must be eligible for UK National Security Vetting. We're looking for an experienced Lead Data Engineer to join a fast-growing digital technology team working on secure, high-impact projects. This role is ideal for someone passionate about … data engineering, cloud-native architecture, and delivering real-world solutions at scale. You’ll lead the technical delivery of complex data engineering solutions for high-profile clients, working within a multidisciplinary team. You'll be empowered to bring modern engineering practices to life while mentoring others and continuously improving standards. What You’ll Be Doing: Leading end-to … end delivery of data engineering projects with accountability for quality and performance. Designing and building scalable, secure data pipelines using modern cloud and open-source tooling. Working closely with architects and analysts to translate business requirements into technical solutions. Driving engineering best practices, including code review standards and agile delivery. Contributing to technical strategy and mentoring other engineers. More ❯
Leeds, Yorkshire, United Kingdom Hybrid / WFH Options
Robert Walters UK
Lead Data Engineer Leeds - Hybrid working £85,000-£90,000 Robert Walters are delighted to be partnering with an 8-figure turnover business based in Leeds. They are currently undergoing a transformation and are looking to hire a Lead Data Engineer to spearhead a greenfield project. The ideal candidate will have experience with Microsoft Fabric, with additional experience … in Azure or AWS being highly advantageous. Responsibilities Lead the end-to-end design and development of a new, cloud-based data platform focusing on scalability, performance, and security to support enterprise data initiatives. Serve as the subject matter expert for Microsoft Fabric, guiding its implementation and integration within the company's cloud environment, which is currently AWS … with potential migration to Azure. Establish and enforce best practices for data ingestion, transformation, storage, and orchestration, laying a solid foundation for analytics, reporting, and AI/ML projects. Collaborate with data analysts, data scientists, and business leaders to gather requirements and develop scalable data solutions. Design and build scalable data pipelines and ETL/ More ❯
Data Scientist 1 day a month in London (expensed) We are working with a networking organisation that specialises in financial services. They are looking to add their first Data Scientist to the team to lead on projects from start to finish. You will build a scoring model to match customers to the client and be able to work … closely with stakeholders. You will need: 3-5 years DataScience experience Python & SQL Predictive Modelling, Statistical Analysis experience Strong communication and stakeholder skills Have worked in a small organisation More ❯
Leeds, West Yorkshire, United Kingdom Hybrid / WFH Options
Hays
looking for an extra person to join them to work on statistical method development and application to real-world drug discovery & development problems. Your new role As a Senior Data Scientist, your work will centre on methodological innovation. You will: Design and implement novel statistical approaches to interrogate large-scale genomic datasets Develop new models to quantify genetic contributions … and reproducibility in all method development Translate complex statistical outputs into meaningful insights for technical and non-technical audiences Collaborate with engineering teams to embed new methods into scalable data pipelines Contribute to peer-reviewed publications that showcase methodological advancements Stay ahead of emerging techniques in statistical genetics and bioinformatics, integrating them into ongoing research While pharma/biotech … can work from one of the company's offices across the UK. What you'll need to succeed PhD (or Master's with substantial experience) in statistics, maths, physics, datascience, computing, statistical genetics or a related field with a strong methodological focus (or equivalent experience) Demonstrated ability to create and validate new statistical/analytical models or More ❯
Head of Engineering. You will oversee all aspects of the engineering lifecycle, from technology design and architecture through to implementation and optimisation. You'll work closely with cloud architects, data scientists, and risk officers to deliver a robust, scalable, and compliant platform that meets the bank's risk and regulatory needs. The role will shape the Lab vision, set … direction, and demonstrate technical leadership across the lifecycle from idea to value realisation. About us Like the modern Britain we serve, we're evolving. Investing billions in our people, data and tech to transform how we meet the changing needs of our 26 million customers. We're growing with purpose. Join us on our journey and you will too … What you'll do Lead the engineering team responsible for end-to-end infrastructure and technology transformation, including legacy decommissioning and GCP-based data infrastructure. Provide technical direction and mentorship, fostering collaboration, innovation, and continuous improvement. Design scalable, high-performance cloud infrastructure on GCP, ensuring availability, resilience, security, and compliance. Implement Infrastructure-as-Code (IaC) using tools like Terraform More ❯
Head of Engineering. You will oversee all aspects of the engineering lifecycle, from technology design and architecture through to implementation and optimisation. You'll work closely with cloud architects, data scientists, and risk officers to deliver a robust, scalable, and compliant platform that meets the bank's risk and regulatory needs. The role will shape the Lab vision, set … direction, and demonstrate technical leadership across the lifecycle from idea to value realisation. About us Like the modern Britain we serve, we're evolving. Investing billions in our people, data and tech to transform how we meet the changing needs of our 26 million customers. We're growing with purpose. Join us on our journey and you will too … What you'll do Lead the engineering team responsible for end-to-end infrastructure and technology transformation, including legacy decommissioning and GCP-based data infrastructure. Provide technical direction and mentorship, fostering collaboration, innovation, and continuous improvement. Design scalable, high-performance cloud infrastructure on GCP, ensuring availability, resilience, security, and compliance. Implement Infrastructure-as-Code (IaC) using tools like Terraform More ❯
Leeds, England, United Kingdom Hybrid / WFH Options
Harnham
+ £5,700 car allowance + 13.5% bonus The Company A nationally recognised retail and logistics business is looking for a Geospatial Insight & Analytics Manager to join their data function. The team plays a crucial role in using location-based data to drive smarter, faster commercial and customer decisions, and this role will lead high-impact projects across … You will manage one analyst and work closely with senior stakeholders across marketing, operations, and commercial teams. Key Responsibilities: Spatial Insight & Strategic Decision Support Translate business questions into geospatial data-driven insight Use spatial modelling to solve problems around store planning, network optimisation, and targeted customer engagement Identify whitespace opportunities based on demographics, mobility, and purchasing behaviour Advanced Geospatial … datasets like HST (High Street Trading), customer segmentation, and footfall into spatial analysis workflows Conduct segmentation and clustering work to highlight geographical patterns Stakeholder Engagement & Storytelling Build dashboards and data visualisations that clearly communicate insights Collaborate with non-technical stakeholders to translate complex spatial data into business recommendations Present analysis at senior levels and influence investment and location More ❯
customer needs. Identify and prioritise AI use cases across mortgage journeys, demonstrating domain knowledge and AI expertise. Translate complex business challenges into AI-enabled solutions, collaborating with engineering and datascience teams to shape delivery. Recommend appropriate AI technologies (e.g. NLP, ML, predictive analytics) and approaches based on business value and feasibility. Ensure AI solutions are ethical, explainable … to push boundaries and make change happen. Together, we can grow with purpose. What you'll need Proven experience as a Product Owner or similar role in a digital, data, or AI-focused environment. Strong understanding of AI concepts and technologies - able to engage confidently with engineers and data scientists. Demonstrated ability to identify and shape AI use … shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer More ❯
customer needs. Identify and prioritise AI use cases across mortgage journeys, demonstrating domain knowledge and AI expertise. Translate complex business challenges into AI-enabled solutions, collaborating with engineering and datascience teams to shape delivery. Recommend appropriate AI technologies (e.g. NLP, ML, predictive analytics) and approaches based on business value and feasibility. Ensure AI solutions are ethical, explainable … to push boundaries and make change happen. Together, we can grow with purpose. What you'll need Proven experience as a Product Owner or similar role in a digital, data, or AI-focused environment. Strong understanding of AI concepts and technologies - able to engage confidently with engineers and data scientists. Demonstrated ability to identify and shape AI use More ❯
Birmingham, Leeds, Liverpool, London (Canary Wharf), United Kingdom Hybrid / WFH Options
UK Health Security Agency
Job summary This post sits within the DataScience and Geospatial Division, a Deputy Director led function that is part of the Analysis and Intelligence Assessment Directorate of the Chief Data Office. The AI Delivery Team is responsible for accelerating the responsible adoption of AI within UKHSA. It is headed by a G6 and includes two SEOs. … be fundamental to the role; this includes the risks and consequences from the decisions made on what projects to pursue or decline.We are looking for individuals who can: Speak data and are comfortable acting as a translator between technical and non-technical stakeholders to present complex analysis and messages in a compelling way to enable effective decision making. Work More ❯
Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯
Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯
Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯
Leeds, West Yorkshire, United Kingdom Hybrid / WFH Options
Veramed
uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the DataScience team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. Share updates internally More ❯