Data Scientist

Job Description: Senior Data Scientist

Location: Okhla, New Delhi

Function: Finance

Role Summary

We are looking for a Senior Data Scientist with strong skills in analytics, Generative Al, and automation to join our Business Intelligence team. Reporting to the Head of BI, 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 spirits and FMCG domain. Experience in Alcobev industry is a mandate.

Key Responsibilities

Analytics & Business Insights

• Build and maintain dashboards (Power Bl) 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 Al & Machine Learning

• Develop Gen Al 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 Al agent frameworks (LangChain, CrewAl, or similar) to

automate analytical workflows.

• Apply ML techniques – classification, regression, clustering & MLP – 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 Bl

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 Al: Working knowledge of LLM APIs, prompt engineering, RAG architectures, and at least one framework like LangChain or Llamalndex.

• 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/Spirits Domain: Understanding of sales analytics, demand planning, distributor performance, and trade dynamics in FMCG or spirits (preferred).

• 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 the spirits, beverage, or consumer goods industry.

Qualification

• Bachelor's or Master's degree in Data Science, Computer Science, statistics, Mathematics, Engineering or a related field.

• At least 1-2 years of hands-on experience with Generative Al tools and technologies.

• At least 5-6 years of experience in data science, analytics or related role with demonstrable business impact.

• Relevant certification in ML, AI or Cloud is a plus but not mandatory.