Lead Data Scientist (Manufacturing sector)

Hiring: Lead Data Scientist for Advanced Analytics Hub
Gurugram (WFO) 5 Days Work From Office, Team management role
Company: Leading Global Manufacturing MNC (Confidential - Billion Dollar Listed Enterprise)
Industry preference- From Manufacturing / Automotive / Industrial / Asset-heavy industry experience
About The Role:
Our client is setting up a cutting-edge Advanced Analytics Hub under the Transformation Office to drive AI/ML led transformation across Manufacturing, Supply Chain, Commercial, Procurement and R&D. We are looking for a Lead Data Scientist who can lead the team and deliver scalable, production-ready AI solutions with measurable business impact.This is a high-impact leadership role - You will partner with business leaders, define the AI roadmap, and own end-to-end delivery from problem framing to deployment and monitoring.
What You Will Do:
Lead, mentor and scale a multi-disciplinary team of Data Scientists, ML Engineers, MLOps and AI EngineersOwn end-to-end AI/ML lifecycle - problem framing, feature engineering, model building, validation, deployment, governance & monitoringBuild production-grade models across Predictive, Prescriptive, Time-series, Optimization, Computer Vision, Big Data & Generative AI / LLMsSet technical standards (CRISP-DM, TDSP), MLOps practices, CI/CD, model governance and risk managementPartner with IT & Data Engineering team to operationalize models and with business to drive adoptionOwn post-deployment performance - drift detection, retraining, rollback/retire decisionsTake ownership of models built by external consultants and build internal capabilityTech Stack:
Python, Predictive Modeling, Neural Networks, Computer Vision, Edge AI, GenAI, Big Data, AWS Cloud (Redshift, Aurora, Timestream, Sagemaker, Bedrock), TensorFlow, Keras, PyTorch, Databricks, MLOps, CI/CD, Graph DB, Ontology
What We Need:
B.E./B.Tech/Masters in CS, Stats, Maths or other Quantitative field
10+ Years in Data Science / Applied ML with 3+ years leading a team of 5+ with hiring & performance accountability Proven track record of deploying AI/ML models in PRODUCTION at scale with measurable business savings/value Strong hands-on in AWS, MLOps, and handling structured + unstructured data (batch & streaming) Excellent stakeholder communication - ability to explain complex models to business
**Strong Plus: Manufacturing / Automotive / Industrial / Asset-heavy industry experience
Why This Role:
Opportunity to build the Analytics Hub from scratch, work on high-value use cases like Digital Twin, Manufacturing AI, and directly impact P&L of a global enterprise. Leadership visibility with Transformation Office.
Interested candidates share resume at tulika@hrpotential.in / 9560508928

Work arrangement
No