Lead Data Scientist

Overview

In this role you will own and drive analytical and machine learning workstreams, ensuring robust and repeatable outputs aligned with business needs. You will collaborate with subject matter experts, architects, and product teams to prepare outputs for operational use. You’ll uphold best practices in coding, documentation, reproducibility, and model assurance, with opportunities to mentor junior peers. The role sits in a cloud-lean environment and offers a hybrid work setup near London Bridge, delivering high-impact analytics in an engaging team context.

Pay / Benefits

• hybrid work arrangement (2 days near London Bridge)
• competitive salary with 5% bonus
• great environment and people

Responsibilities

• Lead delivery of analytical and ML workstreams ensuring robust outputs
• Collaborate with SMEs, architects, and product teams for technically sound outputs ready for operational use
• Uphold best practices in coding, documentation, reproducibility, version control, and model assurance
• Occasionally mentor junior peers

Key requirements

• End-to-end delivery of applied data science or ML projects including feature engineering, model selection, evaluation, and iteration
• Strong Python development with good practices around code structure, testing, and version control
• Ability to translate business problems into analytical approaches and design modelling strategies

• Collaboration with cross-functional teams
• Mentoring junior peers
• Communication and stakeholder alignment
• Python
• Applied data science / ML
• Feature engineering

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