Senior Data scientist

Dreaming big is in our DNA. It's who we are as a company. It's our culture. It's our heritage. And more than ever, it's our future. A future where we're always looking forward. Always serving up new ways to meet life's moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?
AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
Do You Dream Big?
We Need You.
Job Description
Job Title: Senior Data Scientist
Location: Bangalore
Reporting to: Senior Manager Analytics

• Purpose of the role

We are looking for an experienced and strategic
Senior Data Scientist
to join our high-impact analytics team in the FMCG sector. In this role, you will lead the development of
Resource Allocation Model
that directly influences how we allocate marketing budgets, drive consumer demand, and enhance retail performance.

This is a hands-on technical role requiring deep expertise in data science, machine learning, and business acumen to solve complex problems in a fast-paced, consumer-centric environment.

• Key tasks & accountabilities
• Develop, validate, and scale Resource Allocation Model to quantify the impact of Sales & Marketing packages on sales and brand performance.
• Implement optimization algorithms to inform budget allocation and maximize marketing ROI across geographies and product portfolios.
• Lead the development of predictive and prescriptive models to support commercial, trade, and brand teams.
• Leverage PySpark to manage and transform large-scale retail, media, and consumer datasets.
• Build and deploy ML models using Python and TensorFlow, ensuring robust model performance and business relevance.
• Collaborate with marketing, category, and commercial stakeholders to embed insights into strategic decisions.
• Use GitHub Actions for version control, CI/CD workflows, DVC for data versioning, and reproducible ML pipelines.
• Present findings through compelling data storytelling and dashboards for senior leadership.
• Mentor junior data scientists and contribute to a culture of innovation and excellence.
• Qualifications, Experience, Skills

Level Of Educational Attainment Required

• Master's or PhD in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics).

Previous Work Experience

• 5+ years of hands-on experience in data science, preferably within the FMCG or retail domain.

Skills Required

• Proven track record of building and deploying Marketing Mix Models and/or media attribution models.
• Deep knowledge of optimization techniques (e.g., linear programming, genetic algorithms, constrained optimization).
• Advanced programming skills in Python (pandas, scikit-learn, statsmodels, TensorFlow).
• Expertise in PySpark for distributed data processing and transformation.
• Experience with Git and GitHub Actions for collaborative development and CI/CD pipelines.
• Strong grounding in statistics, experimental design (A/B testing), and causal inference.
• Master's or PhD in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics).

Preferred Skills Required

• Experience working with syndicated retail data (e.g., Nielsen, IRI) and media data (e.g., Meta, Google Ads).
• Exposure to cloud platforms like AWS, GCP, or Azure.
• Familiarity with FMCG metrics (e.g., brand health, share of shelf, volume uplift, promotional ROI).
• Ability to translate complex models into business actions in cross-functional environments.

And above all of this, an undying love for beer
We dream big to create future with more cheers