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 Title: Data Scientist

Location: Bangalore

Reporting to: Senior Manager Analytics

Purpose of the role

Contributing to the Data Science efforts of AB InBevʼs global commercial analytics capability of Pricing Analytics. Candidate will be required to contribute and may also need to guide the DS team staffed on the area and assess the efforts required to scale and standardize the use of Data Science across multiple ABI markets

Key Tasks & Accountabilities

• Preferred industry exposure CPG, Consulting with 3+ years (in case of consulting the typical profile would be of a Lead consultant with relevant experience mentioned in the point below)
• Experience of working in the domain of Pricing Analytics Analytics preferred (assessment of the pillars to be made on the past companies of the candidate) “preferably in a CPG organization” with a demonstrated capability of successfully deploying analytics solutions and products for internal or external clients.
• Has interacted with Senior internal or external stakeholders around project/ service conceptualization and plan of delivery.
• Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization, deep learning.
• Product building experience would be a plus.
• Has experience of working on data manipulation using tools such as excel, Python, SQL.
• Strong proficiency in Object-Oriented Programming (OOP) principles and design patterns.
• Good understanding of data structures and algorithms as they relate to machine learning tasks.
• Experience with version control tools such as Git.
• Familiarity with MLOPS and containerization tools like Docker would be plus.
• Consistently display an intent for problem solving