Senior Data Scientist

Overview

In this senior role you steer Autotrader’s data science direction within a cross-functional squad, shaping ML-driven data products and analytics strategy. You’ll collaborate with engineers and analysts to prioritise and deliver impactful projects, from personalised recommendations to enhanced search. You help raise standards and foster a culture of shared insights and continuous learning. This is a chance to scale data science across the business and influence product roadmaps with measurable impact.

Pay / Benefits

• Salary 50,000–70,000
• Shares with yearly vesting (10%)
• 28 days holiday
• Pension scheme (7% employer, 5% employee)
• Private medical cover
• Hybrid working model (minimum 3 days in office)

Responsibilities

• Define and lead the Data Science direction for Autotrader
• Coordinate cross-functional squads to prioritise and shape data science projects
• Orchestrate projects while mentoring Data Analysts and Scientists
• Collaborate with software engineers to implement robust ML solutions
• Develop ML-centric data products and improve user-facing features
• Establish analytical standards and tooling across the team
• Support and coach data practitioners within the community
• Contribute to deployment, monitoring, and operational practices of ML workflows
• Enhance the customer data platform for targeted marketing

Key requirements

• Track record delivering data science solutions in a commercial business
• Experience productionising machine learning workflows and deployment/monitoring
• Deep understanding of ML frameworks, algorithms and statistical methods
• Proficiency in Python and SQL
• Experience leading data science projects in cross-functional teams and mentoring others
• Strong stakeholder engagement and ability to influence squad roadmaps
• Passion for coaching Data Analysts and Data Scientists

• Stakeholder engagement
• Coaching and mentorship
• Cross-functional collaboration
• Python
• SQL
• ML frameworks and statistical methods

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