Data Scientist

Job Title: Data Scientist

Key Responsibilities:

• Analyze business data to identify trends and actionable insights.

• Build and maintain data pipelines and analytical models.

• Assist in developing machine learning models for business and risk use cases.

• Perform data cleaning, preprocessing, and exploratory data analysis (EDA).

• Create reports and dashboards for business stakeholders.

• Collaborate with Product, Business, Risk, and Engineering teams.

• Continuously improve model accuracy and data quality.

Advanced Responsibilities:

• Develop and deploy advanced machine learning and AI models.

• Build predictive models for credit risk, lending, collections, and customer analytics.

• Perform feature engineering, model validation, and performance monitoring.

• Translate business problems into data-driven solutions.

• Work closely with Product, Risk, Business, and Engineering teams to implement analytical solutions.

• Present insights and recommendations to senior stakeholders.

• Mentor junior data scientists and promote best practices in analytics and model development.

Required Skills:

• Strong expertise in Business Analytics and Data Science.

• Advanced proficiency in Python.

• Hands-on experience with AI/ML algorithms and model deployment.

• Strong understanding of IFRS 9 (PD, LGD, EAD, Expected Credit Loss models).

• Experience in the NBFC/Banking/Financial Services domain.

• Strong SQL skills and experience with Power BI/Tableau.

• Familiarity with cloud platforms (AWS, Azure, or GCP) is an advantage.