Data Scientist (Warehouse AI Programme)

About the role
ProConnect is building AI agents for its warehouse operations. As Data Scientist, you'll sit in the AI Product & Process Design Team, alongside warehouse operations experts and the IT/data team. Your job is to turn raw warehouse data into clean, reliable inputs the agents can use. You'll also help train and improve those agents over time.

What you'll do

• Work with warehouse management system data to find gaps, clean it and prepare it for modelling
• Build imputation models to fill in operational timestamps and events that the WMS doesn't capture today
• Help create a simple data product (raw to best fit) that the AI agents will run on
• Take part in use-case workshops and help estimate whether each use case is feasible and what it's worth, measured in cost, service level and productivity
• Run model training cycles, share the results with the design team and feed improvements back into the context, knowledge and data
• Define KPIs and test cases for each agent, and track how it performs after go-live

What we're looking for

• 12 years of hands-on experience building data science / ML models (e.g. prediction, forecasting, classification or imputation), in any industry, with at least one model you built end to end (data prep modelling validation) that you can walk us through in detail
• Strong Python and SQL, plus the usual data science libraries (pandas, scikit-learn or similar)
• A good grasp of statistics, missing-data handling and basic forecasting
• Comfort working directly with operations teams and explaining results in plain business language
• Willingness to work from Chennai and spend time on warehouse floors

Good to have (Extra)

• Experience in logistics, supply chain or warehousing
• Exposure to LLMs, AI agents or MLOps
• Some experience working with cloud platforms (AWS/Azure)