Data Scientist

Computer Futures; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Computer Futures seeks an experienced Data Scientist with strong Palantir Foundry expertise to design, build, and optimize enterprise-scale data solutions supporting a global SAP transformation programme. You will integrate data from SAP and non-SAP systems and build scalable pipelines across cloud environments.

The role requires experience in Energy-related industries and advanced analytics ecosystems, including Databricks, PySpark, and Power BI, with emphasis on data governance and security.

Qualifications

• Experience as a Data Scientist in highly regulated industrial environments (Energy / Oil & Gas / Nuclear).
• Strong Palantir Foundry expertise to design, build and optimize enterprise data solutions.
• Extensive experience with large-scale data platforms, cloud technologies, and advanced analytics ecosystems.
• Proven ability to integrate data from SAP and non-SAP systems for data-driven decisions.
• Strong SQL development and data modelling capabilities; knowledge of data governance and quality.

Responsibilities

• Design, develop and deploy data science and data engineering solutions within Palantir Foundry.
• Build and optimize enterprise data pipelines for global transformation programs.
• Develop and maintain ETL/ELT pipelines ingesting SAP and third-party data.
• Collaborate with SAP teams to integrate critical data into analytics platforms.
• Design data workflows and orchestration across cloud environments.

Skills

Palantir Foundry

Databricks

PySpark

SQL

Power BI

Data modelling

Data governance

Agile delivery

Cloud platforms

Tools

Palantir Foundry

Databricks

Power BI

Azure Data Factory

AWS

Azure

Enterprise data platforms

Job 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.

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.

Key Responsibilities

• 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.
• 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