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About the Role
As a member of the Data Science team, you will develop in-house solutions that automate decision-making and provide business insights. Working within cross-functional agile squads, you will design and develop data science products, deliver high-quality analyses, and contribute to team upskilling.
Responsibilities
- Develop in-house data science solutions to automate decision-making
- Provide valuable business insights
- Design and develop data science products within cross-functional agile squads
- Deliver high-quality analyses to guide future development
- Contribute to team continuous learning and upskilling
Requirements
- Degree in a mathematical, statistical, or STEM discipline
- Track record of contributing to value-driving data science projects in a commercial setting
- Experience writing production-grade code using Python and SQL
- Strong presentation skills and business acumen
- Ability to explain complex topics to non-technical audiences
- Ability to work independently using initiative
- Strong statistical foundation in regression, hypothesis testing, and experimental design
- Proficiency in sklearn and tree-based models
- Highly proficient in Git best practices
- Experience working in cloud environments such as Azure, AWS, or GCP
Skills
- Python
- SQL
- Regression
- Hypothesis testing
- Experimental design
- sklearn
- Tree-based models
- Git
- Cloud computing (Azure, AWS, GCP)
Location
- London
- Remote
Work Type
- Hybrid
Education Level
- Degree in a mathematical, statistical, or STEM discipline
- Post-graduate degree (Masters or PhD) in a mathematical, statistical, or STEM discipline (Desirable)
Benefits
- 10% of time dedicated to learning and personal development
- Access to a large team of data scientists, engineers, and product managers
- Knowledge sharing and pair programming opportunities
- 10% discount on products across Sainsburys
- Up to 15% discount on products for two days each week