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Data Scientist

Job in Cardiff, Cardiff City Area, CF10, Wales, UK
Listing for: La Fosse
Contract position
Listed on 2026-05-25
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Science Manager, Data Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 GBP Yearly GBP 100000.00 125000.00 YEAR
Job Description & How to Apply Below

We’re currently looking for an experienced Data Scientist to join a leading data organisation on a 12-month contract basis. This is an exciting opportunity to work on high-impact analytical initiatives that directly influence product strategy, customer outcomes, and business decision-making.

You’ll work across large and complex datasets, applying statistical analysis, modelling techniques, and data science best practices to deliver actionable insights. The role also offers exposure to cloud-based analytics environments and modern data platforms such as Databricks.

Key Responsibilities
  • Analyse large and complex datasets to uncover actionable business insights
  • Conduct statistical analysis to support product strategy and operational decisions
  • Present analytical findings and recommendations to key stakeholders
  • Support customer portfolio analysis, including credit application and risk analysis
  • Monitor, evaluate, and improve model performance
  • Contribute to research and development initiatives within the data science function
  • Support the migration of analytical workflows to cloud-based platforms
  • Process, match, and merge large-scale datasets from multiple data sources
  • Collaborate with analytics and wider business teams on strategic initiatives
Required Skills & Experience
  • Degree in Computer Science, Mathematics, Statistics, Quantitative Methods, or similar
  • Strong understanding of statistical methods and data analysis techniques
  • Experience working with large and complex datasets
  • Hands‑on experience with cloud technologies, ideally Databricks
  • Proficiency in Python, R, or other data science programming languages
  • Experience with modelling, scoring techniques, and data mining methodologies
  • Excellent communication skills with the ability to present technical findings to non-technical stakeholders
  • Ability to work independently while contributing effectively within a collaborative team
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