Lead Product Data Scientist

Jobtailor; Greater London; Hybrid; GBP 110,000 - 150,000; Full time

Job summary

Jobtailor in London is seeking a lead data scientist to own end-to-end data initiatives, turning complex data into actionable insights and measurable value for product and customers.

You will build robust data pipelines, apply statistical methods, and collaborate with product and customer teams in a fast-moving startup environment. A hybrid model with weekly London office visits is preferred.

Qualifications

• 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.

Responsibilities

• 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

Skills

Data Pipeline Development

SQL Querying

Python Proficiency

Statistical Analysis

Data Analysis

Data Optimization

Hypothesis Testing

Experimentation

AI Utilization

Job description

• 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