15 Oct
|
AkzoNobel
|
India
Dear Candidate,
Greetings from AkzoNobel (Experts in the proud craft of making paints and coatings since 1792)
We are hiring for the role of Data Scientist at Pune (Hybrid role), below are additional details as required.
No of Positions - 5
Position No 1 (2 roles) - Skills - Data Science & ML Concepts, Statistical libraries, Python, SQL, Deployments & Azure etc.
Position No 2 (2 roles) - Skills - Descriptive & Prescriptive Analytics, Datalake & Synapse, Data Science & ML Concepts, Statistical libraries, Python, SQL, Deployments & Azure etc.
Position No 3 (1 role) - Skills - Pyspark, Creating Notebooks (Python & SQL), Databricks Dashboarding, DBK Genie, Data Science & ML Concepts, Statistical libraries, Python, SQL, Deployments & Azure etc.
Overview
You will join the AkzoNobels Advanced Analytics team, working at the heart of a global manufacturing workplace. Your mission: accelerate world-class end-to-end supply chain performance by delivering scalable, secure, and high-impact AI/data products on our Azure cloud platform.
Youll collaborate with supply chain leaders (MAKE,
SOURCE, DELIVER, QUALITY, PLAN, IBP), IT, engineering, and external software partners. You will operate in a product mindsetturning business needs into AI-enabled capabilities that are reliable in production, measurable in value, and continuously improved.
Job Purpose
On a global scale, you will co-deliver AI and analytics solutions that improve service, cost, inventory, and planning stability, including:
• E2E Reporting & Decision Intelligence
Modern analytics and KPI frameworks across Integrated Supply Chain (MAKE, SOURCE, DELIVER, QUALITY, PLAN & IBP), enabling faster and better decisions.
• Master Data Quality & Automation
Improve and govern master data (lifecycle statuses, MRP parameters, routings, capacity, production data capture) to stabilize planning and execution.
• Predictive, Prescriptive & Optimization Models
Build and deploy models on big-data platforms to optimize MRP a
📌 Data Scientist (India)
🏢 AkzoNobel
📍 India