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Data Science Lead - RGM

AT Diageo
Diageo

Data Science Lead - RGM

Bangalore, India

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.

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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.

Client-provided location(s): Bengaluru, Karnataka, India; Budapest, Hungary
Job ID: Diageo-JR1109018
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • Pet Insurance
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
    • Adoption Leave
  • Work Flexibility

    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K)
    • Pension
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
  • Professional Development

    • Tuition Reimbursement
    • Promote From Within
    • Mentor Program
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
    • Leadership Training Program
    • Associate or Rotational Training Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Woman founded/led

Company Videos

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