Data Scientist
First seen by Alion on Sep 8, 2026.
Role & responsibilities :
Location - Kolkata / Delhi
Urgent Hiring for Data Scientist with Agentic AI only with Consumer packaged goods (CPG) industry Experience.
Required skills & qualifications :
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or a related discipline.
- 3 to 12 years of experience in Data Science, AI, Machine Learning, GenAI or related areas.
- Strong Statistics and Machine Learning fundamentals : forecasting, prediction, optimization, model validation, largescale data analysis.
- Strong Python and SQL skills.
- Significant hands-on experience with Generative AI / LLMs (RAG, embeddings, prompt engineering, LLM evaluation).
- Demonstrated experience designing and building AI agents or agentic workflows - including agent orchestration, tool calling, agent memory/state, and agent evaluation. Experience limited to prompt engineering, basic LLM API integrations or simple chatbot development is not sufficient.
- Experience taking AI/ML solutions into production.
- Experience developing APIs or backend services (FastAPI or similar).
- Working knowledge of PostgreSQL or an equivalent relational database, and Git/version control.
- Hands-on experience with Docker and at least one cloud platform (AWS, Azure or GCP).
- Strong problem-solving and analytical ability, with the ability to independently own technical problems and drive them to completion.
Key Responsibilities :
- Architect and deploy Agentic AI workflows that automate complex decision-making processes, enabling the business to react in real-time to shifting consumer demand.
- Develop advanced forecasting and predictive models to optimize inventory levels and distribution logistics, ensuring high service levels while minimizing overhead costs.
- Implement robust model validation frameworks to ensure the reliability, fairness, and interpretability of AI-driven outputs across all consumer-facing applications.
- Partner with internal stakeholders to identify high-impact use cases for GenAI, transforming raw data into actionable insights that drive product innovation and marketing effectiveness.
- Lead the end-to-end lifecycle of machine learning projects, from initial hypothesis generation and data exploration to production deployment and continuous performance monitoring.
Skills
Data Science, Data Scientist, Agentic AI, Artificial Intelligence, LLM, RAG, Generative AI, Python, SQL, Prompt Engineering, PostgreSQL