ITQ Data Scientist II

General Mills; Mumbai; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

General Mills is seeking a Data Scientist II in Mumbai to lead end-to-end ML projects, from problem framing to deployment. You will build predictive models, develop scalable pipelines, and collaborate with cross-functional teams to translate business questions into analytical solutions.

Ideal candidates have 5+ years’ experience in ML, strong coding skills in Python/R, and hands-on MLOps experience on cloud platforms. A data-driven mindset and excellent storytelling abilities are essential.

Qualifications

• Master’s or PhD in a quantitative field.
• 5+ years building and deploying ML models.
• Experience deploying production ML systems and pipelines.
• Strong ability to tell data-driven stories to varied audiences.

Responsibilities

• Lead full ML lifecycle from problem framing to deployment.
• Build and validate predictive models (regression, classification, time-series).
• Develop scalable ML pipelines and productionize models.
• Design AI agents using LLMs, RAG, memory and orchestration tools.

Skills

ML expertise

Python/R

PyTorch

TensorFlow

MLOps

Data storytelling

Education

Master’s or PhD in Data Science/CS/Statistics

Tools

Git

AWS/GCP/Azure

Shiny

Dash

Tableau

Job description

COMPANY OVERVIEWWe 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.OverviewThe 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 ResponsibilitiesTechnical 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 advancementsBusiness Partnership (15%)Translate business needs into analytical solutionsCommunicate insights clearly to technical and non-technical stakeholdersDeliver projects on time with defined success criteriaInnovation & Continuous Improvement (10%)Improve processes and methodologiesDevelop new analytical capabilitiesContinuously upskill in ML and AI best practicesAdministration (5%)Complete required trainings and organizational responsibilitiesMinimum QualificationsEducation: Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related quantitative fieldExperience: 5+ years building and deploying ML modelsRequired SkillsStrong 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 independentlyPreferred Qualification5+ years of experienceBackground in statistics or quantitative sciencesCertifications in R, Python, or SQLELIGIBILITYApplicants must meet minimum age qualifications in the country in which the job is located.