Senior Data Scientist

What we're looking for:Required

• 5+ years of data science/machine learning experience, with a proven track record building and deploying models that drive real business decisions
• Deep expertise in predictive modelling, forecasting and/or optimisation - with strong command of the underlying statistical principles
• Strong proficiency in Python and core ML libraries (e.g., NumPy, Pandas, Scikit-Learn, xgboost, shap)
• Advanced working knowledge of SQL
• Hands-on experience with data pipelines and ML infrastructure
• Experience working within AWS (ideally using Sagemaker) and/or Azure
• Comfort working across our data stack - inc Airflow, Snowflake
• Experience with version control and CI/CD practices (ideally using GitHub)
• Rigorous attention to statistical validity - comfortable challenging assumptions and defending methodology
• Understanding of best practices in data protection and information security

Desirable

• Experience with causal inference methods (e.g., diff-in-diff, instrumental variables, propensity score matching)
• Experience with dbt for data transformation
• Knowledge of infrastructure as code tools (e.g. Terraform)
• Strong professional and/or academic background within a highly quantitative discipline (e.g. statistics, mathematics, physics or economics)