Senior Data Scientist

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 Title: Senior Data Scientist – GBS Commercial

Location: Bangalore

Reporting to: Senior Manager – GBS Commercial

PURPOSE OF ROLE

We are seeking an experienced Senior Data Scientist and People Manager to lead the development of data-driven products and analytical solutions supporting our sales and business operations. This role is critical in designing, building, and scaling robust data science and machine learning solutions that directly impact business outcomes. The ideal candidate will combine deep technical expertise with proven people management skills and a track record of building, mentoring, and leading high-performing teams

KEY TASKS AND ACCOUNTABILITIES

Data Science & Product Leadership:

• Lead the end-to-end design, development, and deployment of data products, predictive models, and analytics solutions tailored to business needs.
• Drive the roadmap for data science initiatives, from ideation through to production and ongoing enhancement.
• Collaborate with engineering and product teams to integrate machine learning models and analytics into scalable products.

People Management & Team Development:

• Manage, mentor, and develop a team of data scientists, analysts, and engineers, fostering a high-performance, inclusive culture.
• Oversee performance management, career development, and upskilling initiatives within the team.
• Set clear objectives, provide constructive feedback, and guide team members towards excellence.

Collaboration & Stakeholder Management:

• Work closely with stakeholders across different teams to understand business requirements and translate them into scalable technical solutions.
• Engage with end users to gather feedback, iterate on features, and improve application usability.
• Provide training, support, and troubleshooting to ensure smooth adoption and usage of applications.
• Partner closely with cross-functional stakeholders (Sales, Marketing, IT, Operations) to understand business requirements and translate them into actionable analytics and product solutions.
• Present insights and recommendations to senior leadership, enabling data-driven decision making

Process Improvement & Innovation:

• Continuously monitor application performance, identify bottlenecks, and implement optimizations for better efficiency and scalability.
• Propose new features and enhancements to improve user experience and streamline business processes.

Documentation & Reporting:

• Maintain comprehensive technical documentation, including data/model pipelines, architecture diagrams, and user guides.
• Develop and share reports, dashboards, and presentations that communicate business impact and technical findings

Support & Troubleshooting:

• Provide ongoing technical support for deployed solutions, including debugging, performance tuning, and version control.
• Ensure system stability, security, and compliance with relevant data governance standards.

Preferred Skills & Technologies:

• Programming:

  Python (Pandas, scikit-learn, PySpark), SQL

• Machine Learning:

  End-to-end ML model development & deployment

• Data Engineering:

  ETL pipelines, data modeling, Spark/Airflow (preferred)

• API/Product Development:

  Flask/FastAPI, integration with business applications

• Cloud & DevOps:

  AWS/Azure/GCP, Docker, CI/CD (GitHub Actions, Jenkins)

• Databases:

  PostgreSQL, MySQL, NoSQL (desirable)

• Version Control:

  Git, collaborative workflows

• Visualization:

  Power BI, Tableau, or similar (preferred)

• Storytelling with Data:

  Ability to convey insights through impactful data visualizations and clear narratives

• Good to have:

  Experience with LLMs, GenAI, or agent frameworks

And above all of this, an undying love for beer!

We dream big to create future with more cheers.