Enter a job title or keyword

Data Scientist Manager | FMCG | Bangalore

Yugn HR


Job Location:

Bengaluru - India

Monthly Salary: Not provided by the employer
Posted: 19 June 2026 (30+ days ago)
Application Deadline: 16 September 2026
Vacancies: 1 Vacancy

Job Summary

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
  • 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.