Senior Data Scientist - GBS Commercial

AB InBev APAC; Kolkata District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

AB InBev APAC is looking for a Senior Data Scientist – GBS Commercial in Kolkata to drive the development of data-driven products. You will oversee a team of data scientists and collaborate closely with business stakeholders to translate data insights into tangible solutions.

The successful candidate will have strong technical skills, leadership experience, and the ability to mentor a high-performing team. This position involves integrating machine learning models into scalable solutions and requires excellent communication abilities.

Qualifications

• 5+ years of experience in data science, machine learning, or related fields.
• Proven track record of managing high-performance teams.
• Strong communication skills to collaborate with technical and non-technical stakeholders.

Responsibilities

• Lead design and deployment of data products to enhance business performance.
• Mentor a team of analysts and data scientists fostering a high-performance culture.
• Collaborate with stakeholders to turn data insights into actionable solutions.

Skills

Python (Pandas, scikit-learn, PySpark)

SQL

Machine Learning

ETL pipelines

Visualization

Tools

AWS/Azure/GCP

PostgreSQL

Git

Job description

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

Business Environment

• Cross-Functional Collaboration:
  • Work with internal stakeholders across all business zones, including sales, marketing, IT, and operations, to understand requirements and ensure solutions are aligned with business goals.
• Stakeholder Management:
  • Develop strong relationships with stakeholders and become a trusted advisor on all matters related to Power Apps and Power Pages.
  • Must have excellent communication skills to handle multiple priorities and stakeholders effectively.
• Proactiveness & Adaptability:
  • Strong sense of initiative and the ability to work independently while being proactive in identifying and addressing potential issues or improvements.
  • Demonstrates adaptability to changes in business needs and technological advancements.