Manager Data Science

Job Title: Data Scientist Gen AI & Automation

Department: Sales Automation

Reports To: Head of Automation

Location: Bangalore (EO)

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.