Data Science Lead - RGM

Budapest, Hungary

Diageo

With over 200 brands sold in nearly 180 countries, Diageo is driven to be the world’s best brand builder, leading the way in premium drinks.

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Job Description :

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.

 

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 talented 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.

Required Experience:

  • 4 to 6 years of experience, focused on Revenue Growth Management
  • MLOps/ MLE experience

Business Knowledge:

  • Experience in building Machine Learning models in Revenue Growth Management space
  • Worked on revenue specific projects from ideation to delivery
  • Ability to partner with cross-functional teams, including finance, marketing, and sales, to ensure revenue strategies align with the broader business strategy
  • Vendor management experience
  • Strong knowledge of pricing (elasticity), revenue optimization, assortment, in-store activation, and promotions in FMCG/ F&B domains
  • Experience building price simulators and scenario planners

Technical:

  • Knowledge of ML techniques such as - Linear/ Logistic Regression, Clustering, Gradient Boosting, Forecasting, Ensemble learning, etc.
  • Created Data Pipelines, Automated ML workflow
  • Strong understanding of data management principles - Data wrangling, Outlier/ Missing value treatment using Python/ R
  • LLM/ Gen-AI (RAG) application

Coding/ Platform:

  • SQL
  • Azure Cloud
  • Advanced Excel
  • DataBricks
  • Python (Pandas, NumPy, Scikit-learn, etc.)
  • PySpark

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, mindsets, 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. 

Worker Type :

Regular

Primary Location:

Budapest

Additional Locations :

Bangalore Karle Town SEZ

Job Posting Start Date :

2025-02-25
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Leadership Jobs

Tags: Azure Clustering Databricks Data management Data pipelines Excel Finance LLMs Machine Learning ML models MLOps NumPy Pandas Pipelines PySpark Python R RAG Scikit-learn SQL

Perks/benefits: Career development

Region: Europe
Country: Hungary

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