Senior Data Scientist

Build and deploy predictive models and advanced analytics solutions for high-value use cases

Define the features, datasets and structures required for modelling, working closely with the Lead Data Modeller and Data Engineering teams

Translate business problems into clear analytical approaches, challenging poorly defined requests and driving clarity on outcomes

Communicate trade-offs between model complexity, data availability, and delivery timelines to senior stakeholders

Establish and enforce best practices for modelling, evaluation, and production deployment

Implement peer review processes across model and code quality

Mentor junior and mid-level Data Scientists and contribute to capability development across the team

Partner with Data Engineers to ensure model readiness and operational deployment, Join at a pivotal moment in a major platform transformation, with real influence over how data science is structured and practised

Work across a dual-mode environment that balances maintaining a live estate with building something new

Genuine scope for mentorship and leadership without a management overhead

Cross-functional collaboration with Lead Data Modellers, Data Engineers, and senior business stakeholders

A business with the scale and data complexity to keep a strong Senior Data Scientist genuinely challenged

If you’re a Senior Data Scientist who wants to define the work rather than just execute it, we’d like to hear from you. Apply below or get in touch directly to find out more.

Degree in Computer Science, Mathematics, Engineering or a related field

At least 4 years of experience in a data science or statistical role with a track record of delivering impactful solutions

Proven experience developing and deploying machine learning models and statistical analysis

Strong proficiency in Python and SQL, with experience in Spark SQL

Familiarity with cloud platforms and distributed computing tools such as Azure Synapse, Snowflake, or Databricks

Ability to work with large datasets and complex data structures

Strong background in applying statistical and machine learning techniques to solve real business problems

Clear communication skills, including the ability to explain technical concepts to non-technical stakeholders