Senior Data Scientist (Agentic)

General Mills; Mumbai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

General Mills, Digital and Technology India, is seeking a Senior Data Scientist to join the Data Science team. You will lead the design and delivery of Generative AI, Agentic AI, and NLP solutions across unstructured text, images, and structured data.

You will collaborate with AI leadership, ML engineers, and business partners to architect scalable RAG workflows, optimize data ingestion, and establish robust evaluation strategies, while mentoring junior colleagues and championing Responsible AI.

Qualifications

• Bachelor’s or master's degree in computer science/Statistics/Applied Mathematics/Operations research/Industrial engineering.
• Minimum experience: 10 years.
• Proven experience in leading the design and implementation of complex data science solutions, particularly in LLM, NLP, Agentic AI, and RAG.
• Proficiency in designing and implementing LLM and NLP solutions, including problem framing, data curation, fine-tuning, and evaluation (classification, entity extraction, summarization).
• Expertise in supervised ML algorithms, regression, decision trees, ensemble models, time series, forecasting, neural networks.

Responsibilities

• Lead design and implementation of Generative AI, Agentic AI, LLM and NLP solutions across data sets, including unstructured text and images and structured data.
• Collaborate with AI Leadership, ML Engineering, and stakeholders to architect high-quality Agentic AI and RAG workflows, optimizing ingestion, chunking, embeddings and vector indexing.
• Design and maintain business semantics (ontologies, taxonomies, metadata standards) for consistent retrieval and reasoning in AI systems.
• Provide technical leadership for analytical solution design with hypothesis-driven experimentation and robust evaluation strategies; document for transparency.
• Mentor Jr. Data Scientists / Interns / Contractors through reviews and guidance.
• Champion Responsible AI with privacy, security, governance compliance; reduce model errors and bias.

Skills

LLM & NLP

Agentic AI

RAG workflows

MLOps

Python programming

Cloud computing

Education

Bachelor’s or Master’s degree in CS/Statistics/Applied Mathematics/Operations Research/Industrial Engineering

Tools

Google Cloud Platform

SQL

Python

Job description

Company Overview

We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what's next.

Job Overview

General Mills, Digital and Technology India, is seeking a Sr Data Scientist to join the Data Science team. Data Scientists within our team are dedicated to build enterprise intelligent automations and enable Core ML, Deep Learning, Generative AI solutions on various use cases in CPG. They are also responsible for curating a community of practice to determine the best standards and practices around data science at General Mills.

Key Accountabilities

• Lead the design & implementation of Generative AI, Agentic AI, LLM & NLP solutions for unstructured text and images, structured data, covering problem framing, data curation, fine-tuning, and evaluation across classification, entity extraction & summarization.
• Partner closely with AI Leadership, ML Engineering, and business stakeholders to architect high-quality Agentic AI and RAG workflows, optimizing ingestion, chunking, embeddings and vector indexing with established frameworks and stores to maximize retrieval performance.
• Design and maintain business semantics (ontologies, taxonomies, and metadata standards) so that Agentic AI and RAG systems retrieve and reason over information using consistent business concepts (brands, categories, customers, channels, plants, regions, etc.)
• Provide technical leadership for analytical solution design by hypothesis-driven experimentation, defining robust evaluation strategies and error taxonomies with human-in-the-loop reviews, with clear documentation for transparency and reusability.
• Coach Jr. Data Scientist / Interns / Contractors on key technical and domain topics through solution reviews and mentoring.
• Act as a thought leader in data science techniques and represent the Digital and Technology organization.
• Contributing towards Data Science technical strategy, best practices, and team development.
• Champion Responsible AI by ensuring privacy, security, and governance compliance; reducing model errors and bias; and partnering across teams to integrate solutions into daily work.
• Closely collaborates with the stakeholders on projects and data science leaders to ensure practices are developed and enhanced to support accelerated analytic development and maintainability.
• Collaborates with ML engineers and systems engineers to ensure the models are deployed in a scaled and optimized way. Additionally ensure support the post-production to ensure model performance degrades are proactively managed.
• Work closely with data science leadership, engineering, and business partners to develop machine learning models using best-in-class tools and technology.
• Networks with senior internal and external experts, leads research into emerging analytics trends aligned to business needs, and leverages and contributes to open-source innovation.

Minimum Qualifications

• Bachelor’s or master's degree in computer science/Statistics/Applied Mathematics/Operations research/Industrial engineering.
• Minimum experience required 10 years.
• Proven experience in leading the design and implementation of complex data science solutions, particularly in LLM, NLP, Agentic AI, and RAG.
• Proficiency in designing and implementing LLM and NLP solutions, including problem framing, data curation, fine-tuning, and evaluation (classification, entity extraction, summarization).
• Expertise in supervised ML algorithms, regression, decision trees, ensemble models, time series, forecasting, neural networks.
• Proven experience implementing ML and AI practices, with exposure to unsupervised learning and NLP, strong knowledge of MLOps, containerization, data lineage, and visualization, and proficiency in Google Cloud Platform, SQL, and Python.

Preferred Qualifications

• Knowledge of Machine Learning/Deep Learning/Operations Research.

ELIGIBILITY

Applicants must meet minimum age qualifications in the country in which the job is located.