Head of Data Science

at  Sainsburys

WHAT YOU NEED TO KNOW AND SHOW

• An inquisitive mind, constantly seeking opportunities and solving problems with curiosity.
• Confidence in handling complexity and ambiguity, partnering effectively with the business to understand their problems and deliver value through commercial acumen and compelling communication.
• A passion for high-quality data storytelling that effectively articulates the value of data science in business decisions to drive real change.
• You excel in managing experienced teams, elevating their performance by coaching and upskilling them in data science techniques, and supporting them through the scoping, research, and development product life cycle. This includes utilising multiple modelling techniques across the data science discipline, from simple heuristics to advanced methods like machine learning, deep learning, Gen AI, and operational research methods.
• You champion the adoption of engineering best practices in data science, leading a team that collaborates closely with engineering colleagues to on production codebases.
• You have deep experience using our core technologies (Python, SQL) to develop and deploy innovative and impactful data-science solutions.
• Our strategic tooling includes Snowflake, DBT, Azure Machine Learning Studio. Ideally, you have experience with these technologies or comparable alternatives. Experience building and deploying on AWS (S3, EC2, Batch, etc.) would also be highly regarded.
• You’ll have extensive experience using Git to ensure a robust, versioned, and traceable codebase.
• Ideally, you’ll have worked in Kanban, Scrum or if you’re a ninja, both. We use Teams, Confluence and Jira to collaborate, communicate and coordinate.
• You can adapt your ways of working to make technical concepts simple, working effectively with both deep technical experts and those who need information broken down into its simplest form, driving impact with data science.
• You have a good understanding of Data Governance Principles.

Please refer the Job description for details