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/

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