Data Scientist

Role:  Machine Learning Data Scientist

Experience:

4–12 Years
Domain:  Banking / Financial Services

Location:

Hybrid (Gurugram)

Job Summary
We are looking for an experienced Machine Learning Data Scientist with strong expertise in predictive modeling, statistical analysis, and banking analytics. The candidate will be responsible for developing, validating, and deploying machine learning models to solve complex business problems across risk, fraud, customer analytics, lending, collections, and marketing functions.

Key Responsibilities
Design, develop, and deploy machine learning models for banking use cases.
Analyze large structured and unstructured datasets to identify business opportunities and risks.
Build predictive and classification models using advanced ML algorithms.
Perform feature engineering, model tuning, validation, and performance monitoring.
Collaborate with business stakeholders, product teams, risk teams, and technology teams to translate business requirements into analytical solutions.
Develop model documentation and support model governance requirements.
Present insights and recommendations to senior stakeholders.
Work on end-to-end ML lifecycle including data extraction, preprocessing, modeling, deployment, and monitoring.
Ensure compliance with banking regulations and model risk management standards.
Qualifications
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, or related field.
4–12 years of experience in Data Science, Machine Learning, or Advanced Analytics.
Experience working in Banking or Financial Services domain.
Strong statistical and analytical problem-solving skills.