Data Scientist

🔒 Confidential Employer
Posted 23 April 2026
LOCATION
London
TYPE
Full-time
LEVEL
Associate
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python SQL GCP AWS Azure Git CI/CD

FULL DESCRIPTION

Data Scientist

Location: Nine Elms, London - Full-time

Data Scientist

As part of our vision, we are seeking a talented Data Scientist to join our dynamic, expanding team.  Over the last few years we’ve built a solid data foundation using best in class technologies (dbt, BigQuery, Airflow) and are just at the start of our journey to leverage this data in a more sophisticated way. 

Key Responsibilities

  • Stakeholder Management: Help business leaders at [Employer hidden — view at passion-project.co.uk] understand and prioritise opportunities related to AI/ML
  • End-to-End Development and Ownership: Own the lifecycle of new models from concept to deployment and monitoring, and continuously iterate.
  • Reporting/Dashboarding
  • Collaboration: Work closely with cross-functional teams to define, design, and implement new features, driving both business and technical excellence.
  • Code Quality: Write scalable, maintainable, and high-quality code while adhering to best practices for testing, deployment, and version control.

Essential skills

  • Minimum of 1-2 years of professional experience as a Data Scientist in a commercial setting.
  • Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field.
  • Expertise in Python and developing high-quality, scalable code Hands-on experience with cloud platforms like GCP, AWS, or Azure
  • Solid understanding of SQL
  • Familiarity with version control (Git) and automated deployment pipelines (CI/CD).

Desirable skills

  • Experience with GCP/Vertex AI
  • Past work in retail demand forecasting
  • Experience working in a start-up environment

Benefits:

  • Competitive salary.
  • Enjoy 25 days of holiday per year (plus all bank holidays).
  • Private Health Insurance.
  • Extended sick pay and maternity/paternity leave pay.
  • Cycle to work scheme.
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