Data Science Lead – Churn & Retention Analytics | Microsoft Fabric / Azure ML

Location: Gurugram, Haryana, India (overlap with US Central Time required)
Company: Neurogent.ai
Employment Type: Full time (Hybrid)
Seniority: Senior / Lead
Experience: 7+ years

ABOUT NEUROGENT.AI:-

Neurogent.ai builds agentic AI solutions, including AI agents, chatbots, and voice assistants, alongside data and ML platforms that automate workflows and improve customer experience across banking, healthcare, insurance, financial services, and multi-location consumer businesses.

ABOUT THE ROLE:-

We are looking for a senior, hands-on Data Science Lead specializing in Churn & Retention Analytics to join our delivery team working with a leading US early-education and childcare provider serving approximately 130,000 children across a workforce of 20,000 staff.

The client is building its data science capability on Microsoft Fabric, with student and family churn as the first approved use case.

The objective is to identify families at risk of withdrawal 4–8 weeks before they leave,



giving center directors enough time to intervene and improve retention.
Families often show early warning signs, such as declining attendance, reduced schedules, or changes in billing behavior. Your role will be to turn these signals into a reliable, explainable churn model that operations teams trust and use every week.

You will own the use case end-to-end, from defining churn and engineering features to building, deploying, and monitoring a production model that scores every active enrollment weekly.
This is both a technical leadership and business consulting role. You will work directly with US-based business leaders, the client's data science and IT teams, our onshore colleagues, and data engineers.

KEY RESPONSIBILITIES:-

1. Churn Analysis & Predictive Modeling
• Define churn with business stakeholders, including withdrawal criteria, observation and prediction windows, and preventable versus unavoidable exi

📌 Lead Data Scientist (Gurugram)
🏢 neurogent.ai
📍 Gurugram