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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Computer Futures - **Location:** London, UK - **Salary:** £260,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Business Analytics Applications, Application Frameworks, Microsoft Azure, Big Data, Cloud Computing, Data Architecture, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Machine Learning, Power BI, SAP (Applications), SAP Implementation, SAP Project System, Systems Integration, Azure Data Factory, Pyspark, Tools for Reporting, Data Pipelines, Databricks - **Published:** September 6, 2026 - **Apply:** https://www.securityclearedjobs.com/job/802082674/data-scientist/ ## About the Role The successful candidate will have a strong background within Energy, Oil & Gas, Nuclear, Utilities, or other highly regulated industrial environments and will be experienced working with large-scale data platforms, cloud technologies, and advanced analytics ecosystems. This role will be instrumental in integrating and transforming data from SAP and non-SAP systems, enabling data-driven decision-making across a global transformation programme., * Proven experience working with Palantir Foundry. * Extensive experience with Databricks. * Strong knowledge of PySpark for large-scale data processing. * Experience developing and managing ETL/ELT pipelines and data workflows. * Strong SQL development and data modelling expertise. * Experience with Azure Data Factory (ADF). * Experience working within AWS cloud environments. * Experience with Microsoft Azure services. * Strong experience developing interactive dashboards and reporting solutions using Power BI. * Experience integrating data from ERP platforms, particularly SAP. * Strong understanding of data architecture, data governance, and data quality principles. * Experience working within Agile delivery environments. * Candidates must come from one or more of the following industries: * Energy * Oil & Gas * Nuclear ## Description We are supporting a major global SAP Digital Transformation programme for a leading organization within the Energy sector. We are seeking an experienced Data Scientist with strong Palantir Foundry expertise to play a key role in designing, building, and optimizing enterprise-scale data solutions that support transformation across operational, commercial, and corporate functions., * Design, develop, and deploy scalable data science and data engineering solutions within Palantir Foundry. * Build and optimize enterprise data pipelines to support a global SAP transformation programme. * Develop and maintain ETL/ELT frameworks for ingesting and transforming data from SAP and third-party systems. * Work closely with SAP functional and technical teams to integrate business-critical data into analytics platforms. * Design and manage complex data workflows and orchestration processes across cloud environments. * Develop data models and analytical solutions to support operational, commercial, and strategic business decisions. * Build reporting and visualization capabilities using Power BI and other business intelligence tools. * Leverage Databricks and PySpark for large-scale data processing and advanced analytics. * Integrate data across AWS, Azure, and Palantir ecosystems. * Ensure data quality, governance, security, and compliance standards are adhered to throughout the programme. * Collaborate with business stakeholders, enterprise architects, and transformation leaders to define data requirements and use cases. * Support predictive analytics, machine learning, and operational optimization initiatives where required. * Contribute to the establishment of enterprise data best practices, standards, and reusable frameworks * Strong commercial experience as a Data Scientist within complex enterprise environments. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)