We ae looking for candidates with experience in machine learning, Data science and Credit card.
We are looking for a highly skilled Senior Data Scientist with 58 years of experience in classical machine learning and data science. The role focuses on building predictive models and analytical solutions for credit card fraud detection, transaction monitoring, payment analytics, and credit risk modeling within the digital payments and fintech ecosystem.
Key Responsibilities:
- Design and implement predictive modeling solutions for fraud detection, credit risk scoring, and customer segmentation.
- Apply classical ML algorithms including logistic regression, decision trees, random forest, support vector machines (SVM), gradient boosting (XGBoost, LightGBM), clustering (K-means, hierarchical), and time series forecasting.
- Develop and optimize transaction monitoring systems to detect anomalies and fraudulent activities.
- Conduct payment analytics to improve customer experience and operational efficiency.
- Collaborate with risk, compliance, and product teams to align ML solutions with business objectives.
- Ensure models meet regulatory compliance, explainability, and governance standards in financial services.
- Present actionable insights and recommendations to senior stakeholders using clear visualizations and reports.
Required Skills & Experience:
- 5?8 years of professional experience in data science / machine learning roles.
- Strong expertise in classical ML techniques (logistic regression, decision trees, random forest, SVM, gradient boosting, clustering, time series forecasting).
- Proven experience in credit card fraud detection, transaction monitoring, payment analytics, and credit risk modeling.
- Proficiency in Python, R, SQL and ML libraries (scikit-learn, XGBoost, LightGBM).
- Experience with large-scale financial datasets and feature engineering.
- Knowledge of digital payments and fintech domain.
- Strong problem-solving, analytical, and communication skills.
Preferred Qualifications
- Exposure to digital payment systems, fintech platforms, or RegTech solutions.
- Familiarity with cloud platforms (AWS, Azure, GCP) for ML deployment.
- Advanced degree (M.Tech/M.S./Ph.D.) in Computer Science, Data Science, Statistics, or related field.
- Experience in model explainability, bias detection, and responsible AI practices.
Why Join Us:
- Work on high-impact ML projects in the credit card and fintech industry.
- Opportunity to lead initiatives in fraud prevention, credit risk, and digital payment analytics.
- Collaborate with cross-functional teams in a fast-paced, innovation-driven environment.
Competitive compensation, growth opportunities, and exposure to cutting-edge fintech solutions.