Principal Data Scientist

About Autotrader

Role overview

Responsibilities

• Identify data science opportunities and work with squad leadership to prioritize, resource, and shape projects.
• Orchestrate projects, support Data Analysts and Scientists, and collaborate with software engineers to deliver solutions.
• Develop ML-centric data products and solutions using machine-learning frameworks and workflows.
• Help establish analytical standards and tools across the wider analytical community.
• Lead people and strengthen the technical capability of the data science discipline.

Technology and data platform

• Data science technologies in use include Python, Databricks, Spark, MLflow, and Airflow.
• Analytics infrastructure includes Google Cloud Platform; data modelling and warehousing tools include dbt and BigQuery.
• Applicants are not expected to have experience with all listed technologies.
• The description highlights Python, Spark, SQL, and MLflow as part of the data lifecycle, technical estate, and tooling knowledge expected.

What the role requires

• Research and data science experience to identify opportunities and shape projects.
• Experience with machine-learning frameworks and workflows.
• Strategic thinking about commercial impact and the ability to make a case to senior stakeholders.
• Ability to lead ambiguous, complex projects across organisational boundaries and manage delivery dependencies.
• Commitment to scientific rigour and quality while balancing complexity with practicality.
• Strong knowledge of Python, Spark, SQL, and MLflow.
• Interest in leading people and developing the discipline's technical capability.

Application process

• Applicants are asked two questions about their experience and alignment with company values as part of selection.

Compensation

• The description begins a benefits section and states a salary of £60,000–£80,000 plus an additional 10%; the provided text is truncated before further details.