Position Summary:

We’re seeking a Data Scientist to support the development and deployment of machine learning models and analytics solutions that improve decision-making across the mortgage lifecycle—from acquisition to servicing. In this hands-on role, you’ll contribute to building predictive models, customer segmentation tools, and automation workflows that enhance operational efficiency and customer outcomes. You’ll work closely with senior data scientists and cross-functional teams to translate business needs into well-scoped modeling tasks, with opportunities to apply natural language processing (NLP), statistical modeling, and experimentation frameworks in a regulated financial setting. This role reports to a senior leader in Data Science.

Job Functions and Responsibilities:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
- Develop and maintain machine learning models and statistical tools for use cases such as risk scoring, churn prediction, segmentation, and document classification.




- Collaborate with Product, Engineering, and Analytics teams to identify data-driven opportunities and support automation initiatives.
- Translate business questions into modeling tasks and contribute to the design of experiments and success metrics.
- Assist in building and maintaining data pipelines and model deployment workflows in partnership with data engineering.
- Apply techniques such as supervised learning, clustering, and basic NLP to structured and semi-structured mortgage data.
- Support model monitoring, performance tracking, and documentation to ensure compliance and audit readiness.
- Contribute to internal best practices and participate in peer reviews and knowledge-sharing sessions.
- Stay current with developments in machine learning and analytics relevant to mortgage and financial services.

Qualifications:

To perform this job successfully, an individual must have the following education and/o

📌 Manager, Data Science and Analytics (Bengaluru)
🏢 Onity Group
📍 Bengaluru