Data Scientist

Description

: Data Scientist

Location: Great Britain
Department: Strategy and Transformation Team

About us-

With over 200 brands sold in nearly 180 countries, we’re the world’s leading premium drinks

company. Bring your passion and use your curiosity as you explore, collaborate, and innovate to build brands consumers love. Together with passionate people from all over the world, you’ll test new ideas, learn and grow, and unlock a brighter, more exciting future.

Join us to create a career worth celebrating.

Overview:
Join us in shaping the future of data-driven decision-making at Diageo. We are establishing a ground breaking data and advanced analytics team in GB, where AI is at the core of our operations. As a GB Data Scientist, you will play a pivotal role in designing and deploying machine learning and advanced analytics solutions that fuel commercial performance and revenue growth strategies.

This transformational role involves close collaboration with Commercial, Finance, Marketing and Digital & Technology (D&T) teams across Great Britain. You will apply advanced data science methods to solve complex business problems, turning data into actionable insights and scalable solutions. Be part of a forward-thinking Strategy and Transformation team committed to using data to redefine business processes and unlock growth.

Key Responsibilities:

Lead the development of end-to-end advanced analytics solutions focused on the Commercial function. Partner with collaborators across GB to identify business challenges and translate them into analytical use cases. Collaborate with data engineers, visualisation experts, and technology teams to ensure data quality, infrastructure readiness, and model deployment at scale. Translate technical outputs into commercial narratives, communicating findings and recommendations effectively to stakeholders. Contribute to the development of AI and ML best practises. Find opportunities for scaling solutions across multiple regions and support pre-sales technical scoping.

Qualifications:

Proven experience in applying data science within a commercial environment. Advanced proficiency in Python, SQL and large dataset processing; experience with PySpark and cloud platforms like Azure and Databricks. Strong experience in developing statistical and machine learning models for business optimisation. Ability to lead programs involving cross-functional teams (e.g., Sales, Marketing, Finance). Strong communication skills with the ability to present technical concepts in business-friendly terms. Degree in Data Science, Engineering, Computer Science, Statistics, or a related field; MBA or business analytics specialization desirable.

What We Offer:

Opportunity to work in a dynamic environment where innovation is encouraged. Access to innovative tools and resources in data analytics. Collaboration with cross-functional teams dedicated to driving business success through data-driven strategies. Opportunities for career progression within the GB Business or our Global Digital and Technology function

Flexible Working Statement-

Flexibility is key to our success. Talk to us about what flexibility means to you so that you’re supported to manage your wellbeing and balance your priorities 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 capture this information when you submit your application.

Worker Type :

Regular

Primary Location:

1HQ

Additional Locations :

Job Posting Start Date :

2025-08-09