Specialist, Data Science

Reposted 6 Hours Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Manufacturing
The Role
Develop and implement data science and ML models for Supply Chain, translate business problems into testable hypotheses, perform quantitative analysis and data mining, present insights and visualisations to partners, ensure robust, governed AI solutions, and support CI/CD and MLOps deployment to drive business outcomes.
Summary Generated by Built In

Job Description :

Job Title: Data Scientist Specialist

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 hard-working 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 was created in 1997. Our business is built on the principles and foundations laid years before by giants of the industry – Arthur Guinness, John Walker, Elizabeth Cumming and many more. Today, we stand on the shoulders of these giants and, inspired by their ideas, philosophy and audacity, act with the same entrepreneurial spirit and determination.

Today, we are recognised as a global leader in beverage alcohol with an outstanding collection of brands across spirits and beer. We produce an outstanding collection of over 200 brands – old and new, large and small, global and local – that are enjoyed in more than 180 countries around the world. We are proud of the brands we make and the enjoyment they give to millions.

Our ambition is to be one of the best performing, most trusted and respected consumer products companies in the world. Our strategy is to support premiumisation in developed and emerging countries. Our broad portfolio means we can access different consumer occasions with our brands, across price points. This also enables us to shape responsible drinking trends in markets where international premium spirits are an emerging category.

To fulfil our ambition, we know that we must earn the trust and respect of everyone we deal with. That is why our culture is rooted in a deep sense of our purpose and values. These values underpin our business and guide how we work.

Our dedicated people working together to grow our business and cultivate our brands. We are committed to their professional and personal development and ensuring that Diageo is a great place to work. We have a diverse and vibrant workforce. We look for people with a wide variety of personalities, experiences, and perspectives to create a stimulating and rewarding working environment where everyone can flourish.

Diageo’s Analytics & Insights team is responsible for designing, developing, and implementing analytics products to drive what differentiates us and enable empirically based decisions.

As part of the Analytics & Insight team, you will play a role for continuing to advance the sophistication of the power of analytics throughout Diageo.

You will serve as an evangelist for the power of data and develop analytics products to enable decisions at Diageo. You will become an invaluable partner to your collaborators, help catalyse their thinking about what’s possible, identify relevant insights from large data and metadata sources; interprets and communicate insights and findings from analysis and experiments to drive top line growth, personalised consumer experiences and optimises business processes.

Dimensions:

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

b)     Market Environment/  Complexity: This role works closely with partners and teams within Analytics & Insights, as well as across Diageo

c)     Leadership Responsibilities/ Key Partners:

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.

Purpose of Role:

  • Work with Data Science team in Supply Chain domain, to develop and implement robust data models to solve business problems
  • Communicate with partners to understand the challenges they face and present clear data/visualisations to convince them of clear strategies and solutions
  • Translate ambiguous statements into structured problem statements and testable hypotheses
  • Apply quantitative analysis, and data mining to extract, bring together and understand data to form an opinion and derive relevant insights for strategies in customer interaction and product or business growth

Top 3-5 Accountabilities:

  • Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to demonstrate our unique data to predict, prevent, optimise, and solve business problems in Supply Chain domain
  • Stay abreast of and apply industry and technology trends as well as emerging tools and techniques relevant to discipline
  • Strong analytical skills –Ability to perform complex analysis, as well as to resolve analysis required to solve business problems

Qualifications and Experience Required:

  • 4 - 7 years relevant experience in Data Science, Machine Learning, Time Series, Clustering, Classification, Forecasting & Prediction, Statistical Quality Control, Statistical Process Control, and Optimisation (Operations research, Bayesian optimization, etc.)
  • Hands on experience in Python, Pyspark, SQL, Databricks, Azure
  • Prior experience in Supply Chain domain
  • Understanding of LLM/GenAI
  • Expertise in CI/CD, code deployment and MLOps
  • Good communication & Presentation skill
  • Have a hands-on approach with a validated ability to drive the engagement to delivery results
  • Demonstrate Attitude to learning
  • Ensure AI solutions are robust, visible, safe, and adhere to Diageo’s governance, privacy and ethical AI frameworks
  • Bachelor’s degree in engineering/technology/statistics/ economics

Barriers to Success in Role:

  • Attention to detail
  • Ability to build strong relationships with business partners
  • Ability to deliver through others
  • Ability to thrive in complexity

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 accept 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, perspectives, 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.

Worker Type :

Regular

Primary Location:

Bangalore Karle Town SEZ

Additional Locations :

Job Posting Start Date :

2026-02-25

Skills Required

  • 5 - 7 years relevant experience in Data Science, Machine Learning, Time Series, Clustering, Classification, Forecasting, Statistical Quality/Process Control, and Optimisation
  • Hands-on experience in Python
  • Hands-on experience in PySpark
  • Experience with SQL
  • Experience with Databricks
  • Experience with Azure
  • Prior experience in Supply Chain domain
  • Understanding of LLM/GenAI
  • Expertise in CI/CD, code deployment and MLOps
  • Good communication and presentation skills
  • Hands-on approach with ability to drive engagement to delivery results
  • Ensure AI solutions are robust, transparent, safe, and adhere to governance, privacy and ethical AI frameworks
  • Bachelor's degree in engineering, technology, statistics, or economics
  • Demonstrated attitude to learning
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The Company
London
32,334 Employees

What We Do

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

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