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Data Scientist Analytics

AB InBev
Location: Bengaluru, Experience: 4 years - 12 years
Posted On: 15-Jan-2022 | Last Date to Apply: 30-Apr-2022 | No: of Vacancies : 15

Company Profile:

At AB InBev we dream big to create A future with more cheers We are the world’s largest 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 hyperconnected alwayson world this simple act is as meaningful today as it was generations ago

Job description:


Execute outstanding coding skills in order to develop advance ML/time-series models.

· Develop BI dashboards– to share final analysis result with business stakeholders

· Procure data from multiple data sources and do data munging to convert it into analytical dataset to perform time-series analysis

· Research on the newer technologies and algorithms, to improve forecast accuracy

· Interact with multiple stakeholders to present results in PPT or Jupyter Notebook/R Markdown format

· Focus on developing end-to-end analytical solution


· Degree in business analytics / data science / statistics / economics and / or degree in Engineering, Mathematics or Computer Science

· Bachelor’s degree with minimum 4 years or Master’ s degree with minimum 2 years of Data Science experience from a recognized institute


· Hands-on experience in implementation of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others) and time-series algorithms (e.g. ARIMA, ARIMAX, UCM, Holt-Winters and others)

· Excellent coding skills in - SQL, R or Python

· Good communication and interpersonal skills

· Demonstrate ability to quickly understand new concepts especially in field of analytics


· Marketing Analytics background in FMCG domain

· Econometrics/Macroeconomic model understanding

. Knowledge of visualization techniques and building dashboards in tools like PowerBI  or Tableau


R, Artificial Intelligence, Market Insights, Market Analytics, Machine Learning, Market Mix Modeling, Python.

Qualification, Course, Specialization -

University degree or equal by experience

University degree in Engineering and / or Finance – economics

Minimum 5 years’ experience in Supply / Financial / Controlling area

Experience in KPI analytics, cost accounting or finance in general

Experience in working in a process-oriented organization

Experience in a customer-oriented environment

Experience in working in a multi-cultural environment

Shared services experience is a plus

Experience in a multi-functional (technical, finance, etc.) environment is a plus

Key Qualifications





IT-Software- Software services

Gender Preference:


Job Type:

Full Time

Diversity Tags:

Not Applicable