2 of 2 Remote Data Scientist Jobs in Berkshire

collaboration, and driving real impact. Explore our opportunities and become part of a company that values diversity, integrity, and growth. Role Overview We are seeking a skilled and motivated Data Scientist II to join our team. In this role, you will leverage your advanced analytical skills and programming expertise to extract insights from complex datasets, develop predictive models … and support decision-making for our diverse range of customers. As a mid-level contributor, you will work on a variety of data-driven projects, collaborate with cross-functional teams, and help implement scalable solutions. Key Responsibilities Data Analysis & Modelling: Analyse large, complex datasets to identify trends, patterns, and actionable insights. Develop, implement, and optimize machine learning models … to solve business problems. Conduct A/B testing and experimental analysis to validate hypotheses. Data Management & Engineering: Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency. Design and develop ETL pipelines and workflows for data pre-processing. Develop automated tests to validate the processes and models you create. Collaboration & Communication: Collaborate with More ❯

In this exciting role, you will be supporting the development, briefing and providing technical input to ensure we have the correct engineering and data solutions, outline designs and technical requirements within the projects. You will also be part of a cohesive, sustainable engineering structure that leads Thames Water's engineering requirements into AMP8 and beyond. What you'll be … doing as a Research Data Scientist/Engineer Working within the Networks Innovation team but supporting across the whole team, managing process projects and the wider business. Leading research project activities and making significant technical contributions to others. Organising, implementing and monitoring research activities to ensure their smooth operation and successful completion. Support data-driven decision-making … by analysing and interpreting data from various sources related to research activities. The analysis should help to identify trends, measure performance and provide actionable insights to improve service delivery, regulatory compliance and environmental outcomes in the water industry. Evaluating data and information to produce sound results, conclusions and recommendations to inform business strategy. Produce high-quality technical output More ❯