Lead Product Data Scientist

• Talk to customers and align on success criteria and measurement
• Use raw, real-world data to form clear, actionable insights
• Optimise agent performance for each onboarded customer
• Own the optimisation flow from identifying opportunities through testing hypotheses, running experiments, delivering improvements, and demonstrating value
• Analyse data at a granular level and develop and test robust hypotheses
• Work across multiple teams and functions to identify high-impact opportunities and deliver outcomes
• Own work end to end and scope independent initiatives
• Turn ad hoc analyses and findings into scalable self-service tooling for teammates and customers

Requirements

• Significant data science experience at a lead/staff level
• Experience building robust data pipelines
• Fluency in SQL and Python
• Strong understanding of statistical methods
• Background working in a startup or fast-moving tech environment
• Experience working close to the product or customer side of the business
• Ability to solve data puzzles and turn SQL queries into clear conclusions and next steps
• Strong product mindset and pragmatic approach
• Ability to make tradeoffs and move quickly to deliver product and business impact
• Expert communication skills
• Ability to work in a partially customer-facing role
• Confident use of AI to improve day-to-day efficiency while maintaining high-quality output
• Ideally able to come into the London office at least once per week

Core Competencies

Demonstrates expertise in data science with a strong focus on building data pipelines, utilizing SQL and Python for analysis, and delivering actionable insights that drive product and business impact. Capable of working collaboratively across teams while maintaining a customer-centric approach.

Highest-signal resume keywords

• Data Science Experience
• SQL Fluency
• Python Proficiency
• Statistical Methods Understanding
• Product Mindset

Hard Skills

• Data Pipeline Development
• Statistical Analysis
• Data Analysis
• Hypothesis Testing
• Experimentation
• Data Optimization
• SQL Querying
• AI Utilization

Soft Skills

• Expert Communication
• Problem Solving
• Pragmatic Approach
• Customer-Facing Skills

Industry Keywords

• Startup Environment
• Fast-Moving Tech
• Customer Success
• Self-Service Tooling

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