ITQ Data Scientist II

General Mills · Mumbai Metropolitan Region

  • Experience5+ yrs
  • SalaryNot disclosed
  • Work modeunknown
  • Levelmid
  • Posted19 Sept 2026
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About General Mills

General Mills is hiring in Mumbai Metropolitan Region in consumer goods. This role looks for around 5+ years of experience.

Skills

  • Machine Learning
  • Deep Learning
  • MLOps
  • Python
  • R
  • PyTorch
  • TensorFlow
  • Keras
  • Git
  • AWS
  • GCP
  • Azure
  • pandas
  • NumPy
  • scikit-learn
  • Data Visualization

The role

A data scientist in a food manufacturing company designs and deploys scalable machine learning solutions for research, consumer insights, and quality challenges, building predictive models and AI agents with Python, PyTorch, MLOps, and cloud platforms. Their defining skills are machine learning, deep learning, and MLOps, complemented by Python, PyTorch, TensorFlow, Keras, Git, AWS, GCP, Azure, R, pandas, NumPy, scikit-learn, Tableau, Shiny, and Dash. They apply machine learning, deep learning, and MLOps to production systems, agentic AI, statistical analysis, and data visualization.

Full 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 → deploymentBuild predictive models (regression, classification, clustering, time-series)Apply statistical and advanced analytics to structured & unstructured dataDevelop scalable ML pipelines and deploy models to productionDesign and implement AI agents using LLMs, RAG, memory, tools, and orchestration frameworksEvaluate and optimize AI systems using custom metrics and feedback loopsStay current with emerging ML and GenAI advancements

Business Partnership (15%)

Translate business needs into analytical solutionsCommunicate insights clearly to technical and non-technical stakeholdersDeliver projects on time with defined success criteria

Innovation & Continuous Improvement (10%)

Improve processes and methodologiesDevelop new analytical capabilitiesContinuously 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 similarHands-on MLOps, Git, and cloud platforms (AWS/GCP/Azure)Experience deploying production ML systemsStrong data storytelling and visualization skills (Shiny, Dash, Tableau)Ability to manage multiple projects independently

Preferred Qualification

5+ years of experienceBackground in statistics or quantitative sciencesCertifications in R, Python, or SQL

ELIGIBILITY

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