General Mills

Lead D&T Data Scientist

India · Work style not stated · Full time

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About the role

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EmployerGeneral Mills
LocationIndia
Work styleWork style not stated
Employment typeFull time
Employer posted10 Sep 2026

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

General Mills, Digital and Technology India, is seeking a Lead Data Scientist to join our dynamic and innovative Data Science team. As a Lead Data Scientist, you will play a crucial role in shaping our AI and machine learning strategies, managing model development projects, AI technical explorations and mentoring our talented team of data scientists. The ideal candidate will have expertise in AI platforms, ML modelling techniques, development life cycle, GCP Vertex AI, and a proven track record of successful AI solution delivery.

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KEY ACCOUNTABILITIES

AI and ML strategy:

Develop and implement AI and ML strategies aligned with business objectives.

Stay abreast of industry trends and emerging technologies to ensure our strategies remain cutting-edge.

Constructively challenge the other data scientists on approach

Utilize and provide expertise in leading AI platforms, frameworks, and libraries.

Evaluate and recommend new tools and technologies to enhance our machine learning capabilities.

Lead the AI solutions deliver:

Partners with business stakeholders to deliver value add insights and intelligent solutions through ML and AI. 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.

Is considered an expert in at least one of functional areas; brings together business knowledge, resources, people, and technology to create more effective solutions

Model development and Explorations:

Lead and contribute to the development of machine learning models from ideation to production deployment.

Hands-on experience with Google Cloud Platform's Vertex AI for building, deploying, and managing machine learning models.

Oversee the entire development life cycle of AI solutions including MLOps practices, ensuring high-quality and scalable deliverables.

Collaborate with cross-functional teams to integrate machine learning solutions into existing products or processes.

Lead explorations for AI techniques, platforms and tools.

AI Literacy and Mentorship:

Mentor and guide a team of data scientists in approach for AI solution delivery.

Foster a collaborative and innovative team environment.

Contribute to the overall effort to educate stakeholders on AI practices.

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.

MINIMUM QUALIFICATIONS

Overall 12+yrs of Industry experience with 8+ years in providing data science solutions.

Bachelor’s degree in engineering/ technology

Proven skills in leading implementations of AI solutions.

Experienced in providing technical mentorship.

Expertise in supervised ML algorithms, optimization, and performance tuning.

Technical Platform- include proficiency on Google Cloud Platform, SQL, Python, spark, Tensorflow.

Technical Concepts- ML Ops, Containerization, Data Lineage and Visualization.

Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups.

Excellent stakeholder management skills and storytelling skills.

Expert level skill set - AI solutions architecture, Python, SQL. Google Cloud Platform – Vertex AI, BQ, Composer, Cloud Storage supervised algorithms.

Intermediate Level Skill set - ML Ops, GCP cloudarchitecture, AtScale & Alation and Deep Learning

PREFERRED QUALIFICATIONS

Prior experience with CPG/ Retail industry.

Publications or contributions to the data science and AI community.

Certifications in AI, machine learning, or related fields.

ELIGIBILITY

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

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