Senior Data Scientist - GBS Commercial at AB InBev GCC India

, , India -

Full Time

Start Date

Immediate

Expiry Date

14 Feb, 26

Salary

0.0

Posted On

16 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Machine Learning, Data Engineering, API Development, Cloud, DevOps, Databases, Version Control, Visualization, Storytelling with Data, Leadership, Collaboration, Process Improvement, Technical Support, Documentation

Industry

Manufacturing

Description

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? 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 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. We are the world’s leading brewer bringing people together for a better world. For centuries, the experience of sharing a beer has brought people and cultures together. Even in our hyper-connected, always-on world, this simple act is as meaningful today as it was generations ago. We are AB InBev. Committed to driving growth that leads to better living for more people in more places. Through brands and experiences that bring people together. Through our dedication to brewing the best beer with the best ingredients. And through our commitment to helping farmers, retailers, entrepreneurs, and communities grow. We are building a company to last. Not just for a decade. But for the next 100 years. Through our brands and our investment in communities, we will bring more people together, making our company an integral part of our consumers’ lives for generations to come. Our diverse portfolio of well over 500 beer brands includes global brands Budweiser, Corona and Stella Artois; multi-country brands Beck’s, Castle, Castle Light, Leffe and Hoegaarden; and local champions such as Aguila, Antarctica, Bud Light, Brahma, Cass, Chernigivske, Cristal, Harbin, Jupiler, Klinskoye, Michelob Ultra, Modelo Especial, Quilmes, Victoria, Sedrin, Sibirskaya Korona, and Skol.

Responsibilities

Lead the development of data-driven products and analytical solutions to support sales and business operations. Manage and mentor a team of data scientists and analysts, ensuring high performance and alignment with business goals.