Specialist, Data Science
DiageoBengaluru, Karnataka, India
Posted May 5, 2026
Full Time
About the Company
Diageo's official LinkedIn account. We're a global leader in premium drinks, across spirits and beer, a business built on the principles and foundations laid by the giants of the industry. With over 200 brands sold in 180 countries, our portfolio has remarkable breadth. From centuries-old names to exciting new entrants, and global giants to local legends, we're building the very best brands out there, and with over 30,000 talented people based in over 135 countries, we're a truly global company. With such diversity, we're able to truly represent our broad consumer base and think differently about the future. To maintain our position as leaders in the alcoholic beverage market, we always invest in the future and are mindful of the impact we have. Because just like the legends of our past, we're here to raise the bar – for people as well as the planet.
Job Description
Diageo is seeking a highly motivated and guide Data Science professional to serve as an evangelist to power data and insights to enable decisions at Diageo. The role will involve working with the Commercial Analytics team to develop and implement advanced analytics, AI and ML solutions that enhance Sales Planning & effectiveness and commercial performance.
Requirements
- 3–7 years of relevant experience in Data Science, Machine Learning with focus on Commercial Analytics, or Sales Analytics
- Strong experience in predictive modelling, time-series forecasting, clustering & segmentation, optimisation, and causal inference & experimentation
- Hands-on experience in Python, PySpark, SQL, Databricks, Azure (or similar cloud platforms)
- Experience working with large-scale commercial datasets (POS, distributor data, outlet-level data)
- Understanding of Revenue Growth Management principles and sales execution KPIs
- Familiarity with LLM/GenAI applications in commercial analytics
- 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 in Engineering, Statistics, Economics, Mathematics, Data Science, or related field
Benefits
- Flexible working statement
- Diversity statement