Infosys - Data Scientist

Description :

Key Responsibilities :

- Build predictive models for :

a. Credit risk assessment

b. Fraud detection

c. Customer churn prediction

d. Cross-sell and upsell recommendations

e. Loan default prediction

- Analyze large financial datasets to identify trends, anomalies, and business opportunities.

- Design customer segmentation and behavioral analytics solutions.

- Develop forecasting models for revenue, portfolio risk, and financial performance.

- Collaborate with business, risk, compliance, and technology teams to deliver AI-driven solutions.

- Perform data cleaning, feature engineering, and exploratory data analysis.

- Build and optimize scalable ML pipelines for enterprise analytics applications.

- Ensure model governance, explainability, and compliance with banking regulations.

- Create dashboards and visualization reports for business stakeholders.

- Monitor model performance and continuously improve prediction accuracy.

- Research and implement advanced AI/ML techniques for financial analytics.

Required Technical Skills :

Programming & Analytics :

- Strong understanding of statistics, probability, and financial analytics.

Machine Learning & AI :

- Financial Forecasting

- Familiarity with banking regulations and compliance standards.

Cloud & Big Data :

- Knowledge of Spark, Hadoop, and distributed data processing.

- Familiarity with MLOps and model deployment frameworks.

Visualization Tools :

Desired Candidate Profile :

- Strong analytical and problem-solving skills.

- Excellent communication and stakeholder management abilities.

- Experience working with enterprise-scale banking datasets.

- Ability to convert complex business problems into analytical solutions.

- Strong understanding of financial KPIs and customer behavior analytics.