Specialist, Data Science

Location: Bangalore, India

Time Type: Full time

Job Description

Job Title: Specialist, Data Science

About the Function:

Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help shape the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster.

Our D&T team includes some of the most dedicated digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, we’ll help you become the best you can be, creating career-defining work and delivering breakthrough thinking.

Context:

Diageo, created in 1997 is a global leader in beverage alcohol with an outstanding collection of 200 brands across spirits and beer categories, enjoyed in more than 180 countries around the world. Our brands include Johnnie Walker, Crown Royal, J&B, Smirnoff, Cîroc, Ketel One, Captain Morgan, Baileys, Don Julio, Tanqueray and Guinness.

Diageo has set up a Data, Analytics & Insights (DA&I) function within Diageo Business Services India Ltd. (DBSI) focused on demonstrating our core information assets (data, reporting, insights and advanced analytics capabilities) to better equip markets to improve their decisions and optimize their actions using improved data, insights and advanced analytics. 

D&AI under Digital & Technology as a capability is increasingly becoming a core enabler for Diageo, identifying and driving capabilities to improve innovation, performance, and differentiation across a wide range of functions and activities globally.

Within D&AI, the Data Science team focuses on identifying, creating, and deploying ML and AI solutions globally, including handling the strategic roadmap that will advance our capability maturity and supply to performance throughout the Diageo enterprise.

The Data Science team consists of guides in advanced analytics, ML, statistics, DevOps, programming and strategic requirement identification and codification. The team works together with scollaboratorsacross the enterprise to ensure that our solutions are well designed, developed, deployed and adopted. We also work with external partners to accelerate our speed to market on programs.

We are seeking a highly motivated and guide Data Science professional who will serve as an evangelist to power data and insights to enable decisions at Diageo.

a)      Financial:

The role will not have budget responsibility but will need to be financially aware of responsibilities and remain budget conscious and compliant.

b)      Market Environment:

This role works closely with collaborators and teams within DA&I, D&T and Regions/Markets

c)       Leadership Responsibilities:

1.Create Possibilities: You will need to support efforts to make things happen.

2.Demonstrate exceptional leadership around the Diageo values and behaviours

3.Grow yourself. Is enthusiastic –wants to make an impact. Is able to stay positive and overcome setbacks.

4.Be Authentic: Always acts with integrity. Focuses on what’s important. Seeks feedback and acts upon it.

d)      Purpose of Role:

1. Work with the Commercial Analytics team to develop and implement advanced analytics, AI and ML solutions that enhance Sales Planning & effectiveness and commercial performance (from Distributor to Retailer to Consumer)

2. Partner with Sales and Commercial collaborators to translate business challenges (distribution gaps, promotional ROI, outlet analytics, pricing & trade planning, salesforce productivity) into structured analytical problems.

3. Develop predictive and prescriptive models to drive smarter decision-making across:

o   Sales Forecasting

o   Outlet prioritisation & segmentation

o   Shelf & Product Assortment Analytics

o   Trade Promotion planning

o   Revenue growth & pricing strategies

o   Commercial KPI performance tracking

4. Communicate insights through compelling visualisations, storytelling, and clear business recommendations to drive measurable impact.

e)      Top 5-8 Accountabilities

1. Leverage structured and unstructured datasets (sales, distribution, promotional, outlet-level, secondary sales, digital signals) to generate actionable insights.

2. Build scalable analytics products & solutions to track commercial KPIs (elasticity, promo effectiveness, trade ROI, salesforce productivity).

3. Partner with Sales Excellence and RGM teams to evaluate trade spend effectiveness and pricing strategies using econometric studies and experimentation.

4. Translate ambiguous commercial challenges into structured hypotheses and testable analytical frameworks.

5. Ensure solutions are productionised with best in class MLOps frameworks and governance standards.

6. Bring in Emerging AI/GenAI/Decision Intelligence capabilities and find opportunities to embed them in commercial workflows (e.g., smart recommendations, sales assistant copilots).

f)        Qualifications and Experience Required

1. 3–7 years of relevant experience in Data Science, Machine Learning with focus on Commercial Analytics, or Sales Analytics.

2.  Strong experience in:

Predictive modelling (classification, regression, uplift modelling)Time-series forecasting, Clustering & segmentation, Optimisation (linear programming, route optimisation, trade spend optimisation), Causal inference & experimentation (A/B testing, quasi-experimental methods)

3. Hands-on experience in Python, PySpark, SQL, Databricks, Azure (or similar cloud platforms).

4.  Experience working with large-scale commercial datasets (POS, distributor data, outlet-level data).

5. Understanding of Revenue Growth Management principles and sales execution KPIs is strongly preferred.

6. Familiarity with LLM/GenAI applications in commercial analytics is desirable.

7. Experience with CI/CD, MLOps, and model deployment standard methodologies.

8. Strong communication and presentation skills; ability to influence senior commercial partners.

9. Demonstrated ability to drive projects from problem definition through deployment and adoption.

10. Bachelor’s or Master’s degree in Engineering, Statistics, Economics, Mathematics, Data Science, or related field.

g)      Drivers of Success in the Role

• Attention to detail. 
• Ability to build strong relationships with business partners.
• Ability to deliver collaboratively as a team
• Ability to thrive in complexity

Experience / skills required:

·       3–7 years of relevant experience in Data Science, Machine Learning with focus on Commercial Analytics, or Sales Analytics. 

·       Strong experience in:

Predictive modelling (classification, regression, uplift modelling)Time-series forecasting, Clustering & segmentation, Optimisation (linear programming, route optimisation, trade spend optimisation), Causal inference & experimentation (A/B testing, quasi-experimental methods)

·       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 is strongly preferred.

·       Familiarity with LLM/GenAI applications in commercial analytics is desirable.

·       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.

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, attitudes, 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. 

If you require a reasonable adjustment, please ensure that you assemble this information when you submit your application.