We are seeking a highly motivated and expert Data Science professional who will serve as an evangelist to power data and insights to enable decisions at Diageo.
Requirements
- 3–7 years of relevant experience in Data Science and Machine Learning, with strong exposure to Finance, HR, or Corporate Analytics domains.
- Strong experience in advance analytic techniques including: Predictive modelling (classification, regression, uplift modelling), Time-series forecasting, Clustering & segmentation, Optimisation (linear programming, route optimisation), Causal inference & experimentation (A/B testing, quasi-experimental methods).
- Hands-on experience in Python, PySpark, SQL, Databricks, Azure (or similar cloud platforms).
- Domain understanding in at least one corporate function (Finance, HR, Legal, IT, or Governance Analytics), with the ability to translate business context into analytical solutions.
- Working knowledge of deep learning architectures and NLP frameworks is preferred.
- Experience with CI/CD, MLOps, and model deployment standard methodologies.
- Strong communication and presentation skills; ability to influence senior commercial partners.
- Demonstrated ability to drive projects from problem definition through deployment and adoption.
- Bachelor’s or Master’s degree or equivalent experience in Engineering, Statistics, Economics, Mathematics, Data Science, or related field.
Benefits
- Flexible Working Statement
- Diversity statement