Data Scientist

Role Overview:

We are looking for an experienced Data Scientist with strong expertise in Machine Learning and statistical modelling to join our modelling team. The ideal candidate should have hands-on experience in developing, validating, and implementing ML models, preferably within the US Banking / Financial Services domain.

Key Responsibilities:

• Develop, implement, and enhance Machine Learning and statistical models for banking and financial services use cases.
• Translate business problems into analytical and modelling solutions.
• Perform data exploration, feature engineering, model development, validation, and performance monitoring.
• Work with large and complex datasets to identify patterns, trends, and actionable insights.
• Evaluate model performance using appropriate statistical and ML techniques.
• Collaborate with business stakeholders, data engineers, analysts, and modelling teams to deliver scalable solutions.
• Document modelling approaches, assumptions, methodologies, and results.
• Continuously improve existing models and explore new modelling techniques.

Required Skills & Experience:

• 5-8 years of experience in Data Science / Machine Learning / Statistical Modelling.
• Strong hands-on experience in developing ML models using various machine learning techniques.
• Strong programming skills in Python and experience with relevant ML libraries.
• Good understanding of statistics, predictive modelling, model validation, and performance metrics.
• Experience working with large datasets and strong proficiency in SQL.
• Strong problem-solving and analytical skills.
• Experience working with US Banking / Financial Services data and business problems is highly preferred.
• Ability to independently understand business requirements and convert them into modelling solutions.

Preferred Domain Experience:

• US Banking / Financial Services
• Collections & Recoveries modelling experience is highly preferred.
• Experience with credit risk, customer Behavior, collections strategy, recovery prediction, or related banking use cases would be an advantage.

Interested candidates can share resume at [email protected]