Data Scientist:
EXPERIENCE REQUIRED: 2-3 Years

NUMBER OF POSITIONS: 5

DEPARTMENT: Information Systems

REPORTS TO:Head of Fraud & Analytics

LOCATION:Gurugram, India

ROLE OVERVIEW:
We are seeking talented and driven Data Scientist to join our growing Fraud & Analytics team. In this role, you will work at the intersection of data engineering, machine learning, and business policy development. You will play a key role in modernizing our fraud risk infrastructure, building AI/ML models from the ground up, and delivering actionable insights that protect our customers and business across a range of money services transactions including Wires, Check Cashing, Bill Payments, and Top-Ups.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
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- AI/ML Model Development

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- Design, develop, validate, and deploy machine learning models in Python across a range of fraud detection and transaction risk use cases.

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- Own the full model lifecycle: feature engineering, model training, validation, deployment, and ongoing monitoring.

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- Conduct regular performance analysis of business rules within the fraud risk engine, identifying opportunities for optimization and improved detection accuracy.

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- Work closely with risk and compliance stakeholders to develop recent fraud prevention policies based on data-driven insights across money services transaction types.

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- Translate analytical findings into clear, actionable policy recommendations. Reporting & Visualization.

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- Support the development of Power BI dashboards and reports to communicate model performance, policy outcomes, and fraud risk metrics to stakeholders.

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- Prepare and present analytical findings to both technical and non-technical audiences.

SUPERVISORY RESPONSIBILITIES:
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- Provide technical guidance and support to junior team members and project stakeholders.

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- Lead assigned analytics and machine learning projects, ensuring timely and high-quality delivery.

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- Review analytical outputs, model results, and reports

📌 Data Scientist (Gurugram)
🏢 AIS InfoSource
📍 Gurugram