Lead, Data Science

Top Accountabilities:

• Drive analysis in Marketing Spend, Trade allocation, Spend Optimisation, Promotion Marketing, Marketing Analytics

• Be an out-of-the-box problem solver who is passionate about brainstorming innovative ways to demonstrate our outstanding data to predict, prevent, optimise, and solve business problems

• Stay abreast of and apply industry and technology trends as well as emerging tools and techniques relevant to discipline

• Provide subject matter expertise and a significant understanding of Statistical software, Cloud, Database, Visualisation layer & Scripting language.

• Strong analytical skills - Ability to perform complex analysis, as well as to resolve analysis required to solve business problems

• Understanding of Agile methodologies

The job holder may be instructed by their immediate superior to perform all tasks directly or indirectly related, additional or supplementary to the scope of duties defined in this role profile.

Qualifications and Experience Required:

• 6 - 8 years' experience in building and deploying predictive & prescriptive analytical solutions at scale, maximising some combination of ML, AI, Optimization & Simulation.

• Experience in Marketing Spend, Trade allocation, Spend Optimisation, Promotion Marketing, Marketing Analytics

• Experience with one or more in Python, Databricks, Pyspark

• Experience in any of the Cloud technologies (Azure, AWS, GCP) for Data Science project's development & deployment

• Experiences with Database, Scripting languages (Shell, Batch)

• Understanding of RAG

• Strong foundation in Data Science and Statistical Quality Control

• Working knowledge of Design of Experiments

• Hands on experience working in Marketing Analytics

• Bachelor's degree in Engineering/ Technology/ Statistics/ Economics. (Preferred) Master's in management (Operations or Marketing Management)/ Technology/ Analytics

• Have a hands-on approach with a proven ability to work independently with minimal supervision to delivery results

• Experience with Azure ML Studio is desired

• Experience delivering solutions using Agile methods

Barriers to Success in Role:

• Attention to detail.

• Ability to build strong relationships with business collaborators.

• Ability to deliver through others.

• Ability to thrive in complexity

Location: Bangalore

Flexible Working Statement:

Flexibility is key to our success. From part-time and compressed hours to different locations, our people work flexibly in ways to suit them. Talk to us about what flexibility means to you so that you're supported from day one.

Diversity statement:

Our purpose is to celebrate life, every day, everywhere. And creating an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this.

We embrace diversity in the broadest possible sense. This means that you'll be welcomed and celebrated for who you are just by being you. You'll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences, approaches, and more.

Our ambition is to create the best performing, most trusted and respected consumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world.

Feel inspired? Then this may be the opportunity for you.

Client-provided location(s): Bangalore, India

Job ID: Diageo-JR1120792

Employment Type: FULL_TIME

Posted: 2025-12-03T23:44:59