Data Scientist - Global Consumer Sentiment Index

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: Data Scientist - Global Consumer Sentiment IndexLocation: BangaloreReporting to: Product Manager - Global Consumer Sentiment Index

• Purpose of the role
  

• Key tasks & accountabilities
• Apply and fine-tune NLP models for sentiment analysis, aspect extraction, translation, and classification on multi-source textual data.
• Translate complex technical results into simple, decision-oriented insights for business teams.
• Ensure high model accuracy and relevance through iterative optimization and performance testing.
• Collaborate with functional stakeholders to understand use cases and refine problem statements.
• 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.
• Involve actively during the visualization phase to ensure that final dashboards align with user needs.
• Collaborate with functional and technical teams to translate business questions into modeling approaches.
• Integrate structured and unstructured data from various platforms (e.g., social, e-commerce, forums) to enrich outputs.
• Maintain rigorous documentation of data science workflows and ensure reproducibility of results.
• Support model deployment and handover for integration into Power BI, aligning with ABI data standards.
• Operate in a high-pressure, fast-paced environment across a global project with multiple stakeholders, diverse markets, and high-volume datasets. Ability to manage expectations, adapt to evolving requirements, and deliver results across geographies is critical.
• Work under the guidance of the Lead Data Scientist and support junior analysts when needed.
  

Business Environment

• Challenges
• Lack of structured data; handle noise and ambiguity in user-generated content.
• Deliver actionable insights within tight timelines and changing inputs.
• Build scalable models that adapt across markets with unique consumer behaviors.
• Evaluation Criteria
• Quality, accuracy and impact of models as measured by stakeholder feedback and usage in decision-making.
• Ability to communicate technical output clearly to non-technical stakeholders.
• Delivery of milestones within agreed timelines for each project phase.
• Continuous innovation and problem-solving initiative demonstrated in improving the models and insights.
  

3. Qualifications, Experience, Skills

• 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
• Desirable:
• Knowledge of social listening tools (e.g., Brandwatch, Talkwalker)
• Advanced Data Visualization techniques
• Experience with multilingual data sets