At a Glance
- Tasks: Design and optimise data solutions using Palantir Foundry for a global SAP transformation.
- Company: Join a leading organisation in the Energy sector driving digital transformation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and best practices.
- Why this job: Make an impact in a dynamic industry while working with cutting-edge data technologies.
- Qualifications: Experience in data science, Palantir Foundry, and large-scale data platforms required.
The predicted salary is between 63000 - 77000 £ per year.
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 Py Spark 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 Py Spark 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
- #J-18808-Ljbffr
Data Scientist employer: Computer Futures
At Computer Futures, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our Solutions Architects to thrive. With a focus on professional growth, we offer ample opportunities for skill development and career advancement, all while providing the flexibility of remote work and occasional onsite workshops in the UK. Join us to be part of a dynamic team dedicated to delivering impactful solutions in a supportive environment.
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We think this is how you could land Data Scientist
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We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Computer Futures, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Computer Futures. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Computer Futures
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Computer Futures!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
