ITQ Data Scientist II

Genl Mills India Priv LTD; Mumbai; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

General Mills India Pvt Ltd is seeking a Data Scientist II in Mumbai to design, build, and deploy scalable ML and AI solutions across R&D, consumer research, and quality challenges.

The role emphasizes end-to-end ML projects, feature engineering, and deploying production systems, with collaboration across business partners and strong emphasis on communication of insights.

Qualifications

• Education: Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related quantitative field
• Experience: 5+ years building and deploying ML models
• Strong ML expertise (feature engineering, validation, ensemble models, neural networks)
• Proficiency in Python/R (pandas, NumPy, scikit-learn, etc.)
• Experience with PyTorch, TensorFlow, Keras, or similar
• Hands-on MLOps, Git, and cloud platforms (AWS/GCP/Azure)
• Experience deploying production ML systems
• Strong data storytelling and visualization skills (Shiny, Dash, Tableau)
• Ability to manage multiple projects independently
• Preferred: 5+ years in statistics or quantitative sciences
• Certifications in R, Python, or SQL

Responsibilities

• Lead full ML lifecycle: problem framing → data prep → modeling → deployment
• Build predictive models (regression, classification, clustering, time-series)
• Apply statistical and advanced analytics to structured & unstructured data
• Develop scalable ML pipelines and deploy models to production
• Design and implement AI agents using LLMs, RAG, memory, tools, and orchestration frameworks
• Evaluate and optimize AI systems using custom metrics and feedback loops
• Stay current with emerging ML and GenAI advancements
• Translate business needs into analytical solutions
• Communicate insights clearly to technical and non-technical stakeholders
• Deliver projects on time with defined success criteria

Skills

Strong ML expertise

Python

R

Data storytelling

Education

Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related quantitative field

Tools

PyTorch

TensorFlow

Keras

Shiny

Dash

Tableau

AWS

GCP

Azure

Git

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.

Overview

The Global Knowledge Solutions (GKS) team enables innovation, product development, and quality excellence across ITQ. The Data Scientist II will design, build, and deploy scalable machine learning and AI solutions to solve complex R&D, consumer research, and quality challenges. This role requires deep expertise in ML, Deep Learning, MLOps, and Agentic AI systems, with the ability to independently lead end-to-end projects.

Key Responsibilities

Technical Excellence (70%)

• Lead full ML lifecycle: problem framing → data prep → modeling → deployment
• Build predictive models (regression, classification, clustering, time-series)
• Apply statistical and advanced analytics to structured & unstructured data
• Develop scalable ML pipelines and deploy models to production
• Design and implement AI agents using LLMs, RAG, memory, tools, and orchestration frameworks
• Evaluate and optimize AI systems using custom metrics and feedback loops
• Stay current with emerging ML and GenAI advancements

Business Partnership (15%)

• Translate business needs into analytical solutions
• Communicate insights clearly to technical and non-technical stakeholders
• Deliver projects on time with defined success criteria

Innovation & Continuous Improvement (10%)

• Improve processes and methodologies
• Develop new analytical capabilities
• Continuously upskill in ML and AI best practices

Administration (5%)

• Complete required trainings and organizational responsibilities

Minimum Qualifications

• Education: Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related quantitative field
• Experience: 5+ years building and deploying ML models
• Required Skills Strong ML expertise (feature engineering, validation, ensemble models, neural networks)
• Proficiency in Python/R (pandas, NumPy, scikit-learn, etc.)
• Experience with PyTorch, TensorFlow, Keras, or similar
• Hands-on MLOps, Git, and cloud platforms (AWS/GCP/Azure)
• Experience deploying production ML systems
• Strong data storytelling and visualization skills (Shiny, Dash, Tableau)
• Ability to manage multiple projects independently

Preferred Qualification

• 5+ years of experience Background in statistics or quantitative sciences
• Certifications in R, Python, or SQL

ELIGIBILITY

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

New possibilities. Bold thinking. Real heart. Build remarkable brands with remarkable people.

At General Mills, we make food the world loves. Across 100+ markets, we come together to create, innovate and grow. Here, you’ll do meaningful work and help to lead the future of food at a company that stands for good.