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.
- Solid problem-solving, analytical, and communication

📌 Data Science Lead (Bengaluru)
🏢 Tredence
📍 Bengaluru