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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.

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