Data Scientist Manager | FMCG | Bangalore
Job Summary
Manager - Data Science
JOB DESCRIPTION
| Job Title | Data Scientist - Gen AI & Automation |
| Department | Sales Automation |
| Reports To | Head of Automation |
| Location | Bangalore (EO) |
| Employment Type | Full-Time Permanent |
| Experience Required | 5-7 Years |
| Date Posted | Jun 9 2026 |
We are looking for a Senior Data Scientist with strong skills in analytics Generative AI and automation to join our Business Intelligence team. Reporting to the Head of Automation you will play a key role in building forecasting and financial models generating actionable business insights automating reporting workflows and supporting strategic planning - all with a focus on the FMCG domain.
- Build and maintain dashboards covering sales distribution and trade promotion performance across regions and channels.
- Conduct exploratory analysis to identify trends growth opportunities and areas of concern for leadership.
- Develop KPI scorecards and automated reporting pipelines that reduce manual effort and improve data accessibility.
- Develop Gen AI solutions using LLMs (GPT Claude Gemini or open-source models) for use cases such as automated report generation document summarization and conversational analytics.
- Build RAG-based pipelines and explore AI agent frameworks (LangChain CrewAI or similar) to automate analytical workflows.
- Apply ML techniques - classification regression clustering and NLP - to solve business problems like customer segmentation churn prediction and promotion effectiveness.
- Build demand forecasting models for sales prediction and inventory planning.
- Develop financial models covering P&L analysis revenue forecasting and budget planning in collaboration with Finance.
- Support the annual operating plan (AOP) and strategic initiatives with scenario analysis and data-driven recommendations.
- Identify and automate repetitive reporting and data processing tasks using Python SQL and tools like Power Automate or Airflow.
- Build and maintain ETL pipelines to ensure clean timely and reliable data flows across the BI ecosystem.
- Set up anomaly detection alerts to proactively flag issues in sales inventory or financial data.
- Python & SQL: Strong proficiency in Python (Pandas Scikit-learn Statsmodels) and SQL for data analysis modelling and automation.
- Machine Learning: Hands-on experience building and deploying ML models - supervised/unsupervised learning time-series forecasting and NLP.
- Generative AI: Working knowledge of LLM APIs prompt engineering RAG architectures and at least one framework like LangChain or LlamaIndex.
- BI & Visualization: Proficiency in Power BI for creating executive-level dashboards and data storytelling.
- Cloud Basics: Familiarity with at least one cloud platform (AWS Azure or GCP) for data storage processing or ML deployment.
- FMCG Domain: Understanding of sales analytics demand planning distributor performance and trade dynamics in FMCG.
- Communication: Ability to translate complex analysis into clear actionable insights for both technical and business audiences.
- Experience with RPA tools (UiPath Power Automate) or workflow orchestration (Airflow dbt).
- Familiarity with MLOps practices - model versioning monitoring and retraining pipelines.
- Exposure to cloud data warehouses like Snowflake BigQuery or Redshift.
- Prior experience in FMCG.
- Bachelors or Masters degree in Data Science Computer Science Statistics Mathematics Engineering or a related field.
- 5-6 years of experience in data science analytics or a related role with demonstrable business impact.
- At least 1-2 years of hands-on experience with Generative AI tools and technologies.
- Relevant certifications in ML AI or Cloud are a plus but not mandatory.