2 of 2 Permanent Data Science Engineer Jobs in the UK excluding London

Senior Data Science Engineer (Applied Data Science/SAAS) Location: Hybrid - 2 days per week in either Hampshire or Worcestershire Salary: £50,000 - £55,000 (DOE) Are you a hands-on data scientist who loves turning messy data into actionable insight? Do you enjoy building practical data solutions and working across teams … to bring data-driven products to life? We're looking for a Senior Data Science Engineer to help shape a growing data capability within a well-established and ambitious tech organisation. You'll play a key role in designing and delivering data-driven products, contributing to model development, analytics tools and scalable pipelines that … drive insight and innovation. You'll collaborate with engineers, analysts and stakeholders to solve real business problems using a blend of data science, analytics engineering and applied machine learning. This is a broad and flexible role, ideal for someone who's worked across the data science lifecycle and enjoys both experimentation and delivery. Key responsibilities include More ❯

Lead Data Science Engineer Hybrid - 2 days a week Competitive salary + excellent benefits About the Role: A forward-thinking tech company is seeking a Lead Data Science Engineer to join their growing data function. This is a strategic, hands-on role where you'll design and build modern data infrastructure, guide … the deployment of machine learning models, and shape the delivery of data-driven products and APIs. You'll lead technical initiatives while working closely with data engineers, scientists, architects, and product stakeholders to ensure real-world impact through data. What You'll Be Doing: Architect and implement scalable pipelines and data systems that power advanced analytics and … ML applications Lead the rollout of data products, including APIs and secure data delivery mechanisms for clients and internal use Partner with cross-functional teams to align data solutions with wider business goals Take ownership of productionising ML models and integrating them into operational systems Improve access to data through the development of self-serve analytics More ❯