Data Scientist

We are looking for a platform-oriented Data Scientist who is as comfortable working with data pipelines and data models as they are with analysis. This is not a pure modelling role. You will focus on designing and enabling data science and analytics workloads on modern data platforms, ensuring that data is accessible, reliable, and production-ready for downstream use. You will play a key role in shaping how data is structured, governed, and consumed across enterprise environments.

• 3-6 years' experience in data-focused roles (data science, analytics engineering, or data platform roles)
• Strong hands-on experience with at least one of Snowflake, Databricks and Microsoft Fabric
• Advanced SQL skills and experience working with large-scale, distributed datasets
• Strong Python skills for data processing, transformation, and analysis
• Solid understanding of:
- Data modelling (dimensional, Lakehouse, etc.) - Data warehousing concepts - Batch and/or streaming data pipelines
• Experience working in cloud environments
• Experience collaborating with data engineers, architects, and platform teams
• Ability to deliver production-ready data assets, not just exploratory outputs
Preferred skills and qualifications
• Familiarity with Spark and distributed data processing frameworks
• Experience with performance tuning and cost optimisation on cloud data platforms
• Exposure to data governance frameworks and tooling
• Experience supporting BI and analytics tools (Power BI, Tableau, Qlik)
• Basic understanding of machine learning workflows (as a secondary capability, not core focus)
Key competencies
• Platform-first mindset: thinks in terms of systems, scalability, and reuse
• Strong data modelling capability: able to design data structures that support multiple use cases
• Operational focus: builds solutions that are reliable, maintainable, and production-ready
• Collaboration: works effectively across engineering, analytics, and business teams
• Clear communication: able to translate complex data concepts into business-relevant language
• Pragmatic delivery: balances technical quality with real-world constraints
  
  You will join NTT DATA UK's Data & AI Practice, a multi-disciplinary team delivering enterprise-scale data platforms, analytics, and AI solutions. Our focus is on building modern, scalable data platforms that enable advanced analytics and data-driven decision-making across organisations.
This role sits at the intersection of data engineering, analytics, and platform enablement, with a strong emphasis on Snowflake, Databricks, and Microsoft Fabric ecosystems.