Manager - Data Science

Job Summary

We are looking for a highly experienced Manager in Data Science to lead strategic data initiatives, drive advanced analytics solutions, and mentor junior data professionals. You will have 12 or more years of experience and specialisation in applying data science techniques to real-world business problems across industries such as healthcare, retail, manufacturing, or technology.

You will be based in Balewadi, Pune and will work in hybrid. You will report to the Manager, Software Engineering.

Your Responsibilities :

• Client Engagement & DeliveryUnderstand client business challenges and propose end-to-end AI / ML / data science solutions.Lead client-facing engagements, presenting analytical findings and business recommendations.Translate business requirements into technical deliverables and measurable outcomes.
• Technical LeadershipArchitect and develop predictive models, optimization algorithms, and statistical analyses.Oversee data preparation, feature engineering, model selection, validation, and deployment.Use tools like Python, R, SQL, Spark, or cloud ML services (AWS / GCP / Azure).
• Strategy & InnovationContribute to the development of analytics strategy and roadmap for enterprise clients.Identify and drive opportunities for AI / ML adoption across business functions.Stay abreast of emerging technologies and techniques in AI, ML, and data platforms.Drive projects on cutting-edge DS technologies such as Computer Vision, Generative AI, Agentic AI etc.Contribute to business development initiatives such as RFP, PoC,workshops etc.
• Team DevelopmentMentor and guide data scientists and analysts on best practices and solution delivery.Conduct code reviews, share technical knowledge, and lead internal capability-building programs.
• Project & Stakeholder ManagementManage timelines, deliverables, and quality for complex analytics projects.Collaborate with cross-functional teams including business, engineering, IT and domain expertise.Present high quality insights and recommendations to clients.

Required Qualifications :

Desired Experience :

What We Offer :

Our benefits package includes …

#Hybrid #LI-SS2

Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.