- Develop ML and statistical models for fraud detection and credit underwriting.
- Analyze large datasets to identify fraud, credit risk, and user behavior patterns.
- Monitor fraud trends and improve prevention strategies.
- Design experiments to optimize AI model performance.
- Manage end-to-end data pipelines, model development, deployment, and monitoring.
Preferred candidate profile
- Experience in Data Science, preferably in FinTech or Financial Services.
- Solid knowledge of Machine Learning, Deep Learning, NLP, Computer Vision, and statistical methods.
- Experience with fraud detection or credit risk is a plus.
- Strong communication and collaboration skills.
📌 Data Scientist at A FinTech Company (Gurugram)
🏢 Talentzo Delhi
📍 Gurugram
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