Posted 19 June, 2026
Data Scientist Manager | FMCG | Bangalore
Yugn HR
Bengaluru, KA, KA, IN
Full Time
Manager - Data Science
JOB DESCRIPTION
Position Overview
| 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 |
Role Summary
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.
Key Responsibilities
Analytics & Business Insights
- 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.
Generative AI & Machine Learning
- 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.
Forecasting & Financial Modelling
- 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.
Automation & Process Improvement
- 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.
Required Skills
- 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.
Good to Have
- 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.
Qualifications
- Bachelor’s or Master’s 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.