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 : Data Scientist

Location : Bengaluru

Reporting to : Senior Manager - Analytics

1. PURPOSE OF ROLE

The Data Scientist will play a key role in designing and delivering data-driven solutions that enable better decision-making across the organization. This role requires strong hands-on coding skills in Python, experience with core data science libraries, and the ability to statistically validate features and models. The analyst will collaborate across teams, work efficiently with existing codebases, and apply version control and development best practices to build scalable, production-ready analytics solutions. With intermediate SQL expertise and a solid grasp of model development workflows, the role ensures robust, interpretable, and actionable outcomes from complex data.

2.KEY TASKS AND ACCOUNTABILITIES

• Develop and maintain data science models using Python, applying intermediate to advanced knowledge of syntax, data structures, and key libraries such as pandas and numpy.
• Perform feature engineering and statistical validation of features and models to ensure robustness, accuracy, and business relevance.
• Write clean, modular, and well-documented code following best development practices; optionally adopt Test-Driven Development (TDD) to enable faster iteration and feedback cycles.
• Collaborate with cross-functional teams to understand data requirements, align on analytical solutions, and translate business problems into data science problems.
• Read, understand, and extend existing codebases, adapting quickly to different coding styles and project structures.
• Leverage version control tools like Git for collaborative development, code management, and maintaining reproducibility of models.
• Write and optimize intermediate-level SQL queries to extract, transform, and analyze data from structured databases.
• Contribute to the deployment readiness of models, ensuring outputs are interpretable, reusable, and aligned with production or decision-support use cases.
• Document processes, assumptions, and outputs clearly for stakeholder transparency, reproducibility, and future reference.
• Stay up to date with industry trends, new tools, and emerging best practices in data science, analytics, and development methodologies.

3. QUALIFICATIONS

Work Experience :

4. Technical Skills Required :

5. Good to have skills :