Senior Manager, Data Science
First seen by Alion on Oct 9, 2026.
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 Manager, Data Science
Location: Bangalore (Onsite)
Reporting to: Director, Data & Analytics
PURPOSE OF ROLE
Lead the hands-on delivery of difficult data science problems across major global programs. Take work from data pipelines and modeling through deployment and integration into high-priority products. Mentor data scientists and machine learning engineers, and turn useful methods into reusable packages that other programs can adopt.
KEY TASKS AND ACCOUNTABILITIES
- Own complex data science problems end to end, from framing and data readiness through modeling, deployment, and product integration.
- Design and implement data pipelines, models, and evaluation methods that hold up in production.
- Explore demanding problems across domains, selecting approaches that fit the evidence, business need, and delivery constraints.
- Write production code, review others work, and improve reproducibility, testing, monitoring, and model quality.
- Build reusable libraries and packages that make data science capabilities easier to integrate into multiple products and programs.
- Partner with engineers and global program teams to connect models and data products to real applications and workflows.
- Make sound technical and product judgments when a problem is ambiguous, and explain the tradeoffs clearly.
- Manage and develop data scientists and machine learning engineers through goals, feedback, hands-on problem solving, and code review.
QUALIFICATIONS, EXPERIENCE, SKILLS
Education:
- Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field, or equivalent practical experience.
Experience:
- Typically 8+ years solving applied data science problems, including hands-on technical leadership and production delivery. Demonstrated depth matters more than a specific number of years.
Technical/Functional Skills:
Mandatory Skills:
- Python and the data science software ecosystem – Expert
- Applied statistics, modeling, and rigorous evaluation – Expert
- Data pipelines, production ML, and model deployment – Advanced
- Production-quality code, testing, code review, and reusable package design – Advanced
- AI-assisted coding workflows and coding agents, such as Codex – Expert
- Technical mentorship and communication – Advanced
Preferred (Good to have) Skills:
- Azure and Databricks environments – Intermediate
- Open-source contribution and reusable package development – Advanced
- Experience in optimization, forecasting, experimentation, or generative AI – Advanced
And above all of this, an undying love for beer!
We dream big to create a future with more cheers.