Manager, Data Science and Analytics

Ocwen Financial Solutions Pvt. Ltd. - APAC; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Onity Group Inc. is seeking a Data Scientist to develop and deploy machine learning models across the mortgage lifecycle—from acquisition to servicing—working with senior data scientists in a regulated financial setting.

You will build predictive models, customer segmentation tools, and automation workflows, applying NLP, statistical modeling, and experimentation frameworks while ensuring compliance and audit readiness.

Qualifications

• Masters or PhD in engineering/math/statistics/economics, or a related field.
• Minimum 2 years of experience (or 1 post-PhD), preferably in mortgage/fintech/financial services.
• Experience with structured and semi-structured data; NLP or document classification is a plus.
• Understanding of model development lifecycle: training, validation, deployment.
• Familiarity with data privacy and compliance considerations (ECOA, CCPA, GDPR) preferred.
• Strong communication skills to present findings to technical and non-technical audiences.
• Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch.

Responsibilities

• Develop and maintain ML models and statistical tools for risk scoring, churn, segmentation, and document classification.
• Collaborate with Product, Engineering, and Analytics teams to identify data-driven opportunities and automate processes.
• Translate business questions into modeling tasks and design experiments with clear success metrics.
• Assist in building data pipelines and deployment workflows with data engineering.
• Apply supervised learning, clustering, and basic NLP to mortgage data; monitor performance and ensure compliance.

Skills

Python (scikit-learn, pandas)

SQL

NLP basics

Data storytelling

Education

Masters or PhD in engineering/math/statistics/economics

Tools

TensorFlow

PyTorch

ML frameworks

Job description

JOB DESCRIPTION

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 environment. This role reports to a senior leader in Data Science.

Job Functions And Responsibilities

• 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

• Minimum education required: Masters or PhD in engineering/math/statistics/economics, or a related field
• Minimum years of experience required: 2 (or 1, post-PhD), ideally in mortgage, fintech, or financial services
• Required certifications: None
• Specific skill or ability needed
• Minimum software or applications experience required/preferred
• Minimum experience required using mobile technology: None
• Any other requirements an ideal applicant needs to have that is not covered by above: None
• Experience working with structured and semi-structured data; exposure to NLP or document classification is a plus.
• Understanding of model development lifecycle, including training, validation, and deployment.
• Familiarity with data privacy and compliance considerations (e.g., ECOA, CCPA, GDPR) is preferred.
• Strong communication skills and ability to present findings to technical and non-technical audiences.
• Proficiency in Python (e.g., scikit-learn, pandas), SQL, and familiarity with ML frameworks like TensorFlow or PyTorch.

Work Schedule

2pm to 11pm IST

About Us

Onity Group Inc. is a leading non-bank financial services company providing mortgage servicing and originations solutions through its subsidiary, Onity Mortgage, formerly known as PHH Mortgage. Onity Mortgage is one of the largest servicers in the country, focused on delivering a variety of servicing and lending programs to customers, clients and investors.

At Onity, we strive to earn our customers’ loyalty every day. We do this by consistently delivering exceptional service and building trust through reliability, integrity, and following through on our commitments. We operate through the lens of the customer, understand the importance of homeownership, and take pride in helping homeowners. Collectively this fosters long‑term relationships, ensuring our customers feel valued and supported. We expect all employees to interact with and engage our colleagues and our customers with respect, courtesy and professionalism, and to achieve results consistent with our service delivery standards.

Onity is intensely focused on hiring, developing and retaining the best talent in the industry! Our commitment to inclusion and equal opportunity ensures that we sustain our reputation as an outstanding place to work, a great business partner and a valued community member. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.