Wipro’sdynamicapproachtopeople,process,andtechnologyhasledthemtobeanindustryleaderfordecades.Additionally,since2006,Wiprohashelpedcompaniespowertheirbusinesswiththecloud.Weprovideprofessionalservicesthathelpenterprisesmovefaster,rethinkprocessesandchangethewaytheiremployeeswork.
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
* 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
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