Digital Marketing - Data Science Manager

AB InBev GCC India; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

A leading beverage company in Bangalore is seeking a Senior Data Scientist to enhance consumer analytics through NLP and AI. This role involves building data science models, mentoring junior staff, and ensuring integration with BI tools. Candidates should have over 8 years of experience in data science, particularly with unstructured data and must possess a master's degree in a related field. A passion for innovation and teamwork is essential.

Qualifications

• 8+ years in data science focused on NLP and consumer analytics.
• Experience with unstructured data from social media and customer reviews.
• Proven ability to mentor and guide teams.

Responsibilities

• Drive global consumer sentiment analytics.
• Build scalable and accurate data science models using NLP and AI.
• Mentor junior data scientists and manage data science workflows.

Skills

NLP

Python

Data Science

Machine Learning

Data Analytics

Education

Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, or Engineering

Tools

Power BI

SQL

Azure

TensorFlow

Job description

Overview

Job Title: Senior Data Scientist – Marketing & Consumer Insights

Location: Bangalore

Reporting to: Senior Manager – Marketing & Consumer Insights COE

Responsibilities

• We are looking for a highly motivated and strategic Senior Data Scientist to drive the global consumer sentiment analytics platform.
• This role will focus on building scalable, explainable, and accurate data science models using NLP and AI, enabling insights from social media, e-commerce platforms, and online review data across global markets.
• The candidate will own the end-to-end development cycle, from experimentation and model development to deployment and integration into Power BI dashboards.
• Mentoring junior data scientists, ensuring code quality, and exploring new AI techniques will also be part of the role.
• Own and manage data science workflows: data ingestion, cleaning, modeling, tuning, and interpretation.
• Apply and fine-tune NLP techniques for sentiment analysis, aspect extraction, multi-lingual translation and topic modeling.
• Ensure proper data modeling aligned with AB InBev’s data architecture; manage different data layers, handle data archiving, and continuously optimize the model as it matures.
• Integrate multiple datasets and data types (structured and unstructured) to improve model robustness and drive more insightful outputs.
• Oversee the deployment of models into production, ensuring integration with existing ABI systems and infrastructure. Ensure that the models are accurate, scalable and aligned with project objectives.
• Collaborate with functional and technical teams to translate business questions into modeling approaches.
• Participate actively during the dashboard visualization phase to ensure seamless user experience and usability; revisit model code to improve accuracy and simplify where possible.
• Work closely with visualization experts to ensure insights are consumable, intuitive, and decision-ready.
• Operate in a high-pressure, fast-paced environment across a global project with multiple stakeholders, diverse markets, and high-volume datasets. The ability to manage expectations, adapt to evolving requirements, and deliver results across geographies is critical.
• Drive experimentation and optimization cycles to improve model accuracy and business relevance.
• Partner with stakeholders across functions and geographies to ensure models address real-world needs.
• Maintain documentation and reproducibility standards across all modeling efforts.
• Mentor and support analysts and junior data scientists on best practices and solution design.

Qualifications, Experience, Skills

• Level of educational attainment required: Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, Engineering, or equivalent.
• Specialization or certifications in NLP, Deep Learning, or Applied AI preferred.
• 8+ years in data science with a focus on NLP and consumer analytics.
• Experience working with unstructured data, especially from social media, forums, or customer reviews.
• Prior exposure to end-to-end model deployment and integration with BI tools like Power BI.
• Experience in Agile teams, with familiarity in Azure DevOps or similar CI/CD environments.
• Proven ability to mentor and guide teams across multiple regions.
• IT Skills required:
  • Python (essential), SQL, R, ML/DL frameworks (TensorFlow, Scikit-learn, SpaCy, HuggingFace)
  • Experience with APIs (Twitter, Reddit, Facebook, YouTube, etc.)
  • Familiarity with cloud environments (Azure preferred)
  • Knowledge of Power BI integration and data pipelines
• Technical skills required:
  • NLP, Sentiment Analysis, Topic Modeling, Text Classification
  • Python, SQL, Machine Learning, Model Explainability
  • API integration, Power BI readiness, data engineering fundamentals
  • Text preprocessing, tokenization, and vectorization
  • Sentiment analysis and topic modeling fundamentals
  • Efficient coding practices and code optimization
  • Working with multilingual corpora and translation APIs
  • Knowledge of social listening tools (e.g., Brandwatch, Talkwalker)
  • Advanced Data Visualization techniques
  • Experience with multilingual data sets

And above all of this, an undying love for beer! We dream big to create future with more cheers.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Manufacturing