Data Scientist

Job description: Wipro’s dynamic approach to people, process, and technology has led them to be an industry leader for decades. Additionally, since 2006, Wipro has helped companies power their business with the cloud. We provide professional services that help enterprises move faster, rethink processes and change the way their employees work. Wipro are looking for a Data Scientist to work in Wokingham on a Fixed term contract basis, the purpose of this role will be to deliver advanced analytics and data science capabilities to support Energy Insights & Analysis (EIA) and Future Energy Scenarios (FES) by developing scalable models, analytical pipelines and data products on NESO’s Data & Analytics Platform (DAP) using Palantir Foundry. The role enables robust scenario modelling, forecasting and insight generation to inform strategic energy system decisions. Key Responsibilities • Design, build and deploy statistical, forecasting and machine‑learning models to support EIA/FES use cases • Develop reproducible analytical pipelines and data products on DAP using Palantir Foundry (Code Workbooks, Ontology, Pipelines) • Perform exploratory and advanced analysis on large, complex datasets (time‑series, scenario, market, network and policy data) • Translate analytical outputs into clear insights for senior stakeholders through visualisations, dashboards and narrative • Collaborate closely with Data Engineers, Analysts, Modellers and Product Teams to align models with business and policy questions • Ensure analytical outputs meet data quality, governance, lineage and assurance standards • Contribute to best practices for model documentation, versioning and reuse across EIA/FES Required Experience & Skills • Strong experience in Python (pandas, numpy, scikit‑learn, statsmodels) and SQL • Applied experience in forecasting, scenario analysis, statistical modelling or machine learning • Hands‑on experience with cloud data platforms, ideally Palantir Foundry (or equivalent) • Experience working with time‑series and multi‑source datasets • Ability to explain complex analytical results to non‑technical stakeholders Inclusion We don’t just look at your CV. We’re more focused on who you are and your potential. We also know that everyone has a life outside work, so we’re happy to discuss flexible working. And we’ll do everything we can to support you during your application. If you need us to make any adjustments to our recruitment process, speak to our talent acquisition team who will be happy to support you. Your Benefits: You will receive a competitive salary, a generous benefits package and training & development in areas to help you improve. Equal Opportunities: We are an Equal Employment Opportunity employer and makes all employment and employment -related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can’t wait to hear from you.