With over 200 brands sold in more than 180 countries, we’re the world’s leading premium drinks company. Every day, over 27,000 dedicated people come together at Diageo to build the magic behind our much-loved brands.

Our founders, such as Arthur Guinness, John Walker, and Charles Tanqueray, were visionary entrepreneurs whose hard-working minds helped craft the alcohol industry. And through our people, their legacy lives on. Join us, and you’ll collaborate with dedicated people from all corners of the world. Together, you’ll innovate and push boundaries, crafting a more inclusive and balanced future that we can all be proud of.

With diversity at our core, we celebrate our people's individual passions, commitments and specialist skills. In our encouraging culture, your voice will be heard and you’ll be empowered to be you. Just bring your ambition, curiosity and ideas, and we’ll celebrate your work and help you reach your fullest potential.

Diageo has set up a Data, Analytics & Insights (DA&I) function passionate about demonstrating our core information assets (data, reporting, insights and advanced analytics capabilities) to better equip markets to improve their decisions and optimize their actions through the use of improved data, insights and advanced analytics.  The Data and Analytics function consists of 4 key areas of expertise: Technology, Business Insights and Reporting, Transformation and Advanced Analytics. 

Role Overview:

• global data science team engaged in developing advanced analytics solution across different Diageo functions like Commercial, Customer & Consumer Marketing, Finance, HR, etc.
• Translate business problems into data science opportunities and provide diagnostic, predictive & prescriptive solutions based on business needs.
• Help to build data science solutions that are repeatable & scalable
• Vendor management experience would be preferred

Experience & Skills Required:

• 4 to 7 years of hands-on experience & knowledge in Data Science or Machine Learning Algorithms
• Hands on experience in solving various advanced analytics use cases such as segmentation, forecasting, optimization, key driver/causal analysis, recommendation systems, predictive modelling, etc.
• Both theoretical & hands on knowledge of application of different advanced analytics methodologies like: Clustering, Time Series Forecasting, Multivariate Regression and forecasting, Logistic Regression, Linear & Non-Linear Optimization, ML Models like Random Forest, GBM, SVM, etc.
• Strong language coding skills required in Python/pyspark.
• Knowledge & experience in SQL database & MLOps.
• Good to have knowledge in the areas of Product Assortment, Marketing Mix Modelling, Demand Forecasting etc.
• Good to have skills in Natural Language Processing, Big Data Analytics, etc.
• Good to have working knowledge in Azure/Azure Databricks, Alteryx, Dataiku, S3, Power shell scripting, Windows Batch scripting.
• Prior advanced analytics experience in CPG or Alcohol Beverage industry is a plus.
• Have a hands-on approach with a proven ability to work independently with minimal supervision to deliver results