Senior Data Scientist – Fraud Detection & AI Application

Role Overview

We are looking for a Data Scientist to join our Data Science & AI team in Hyderabad. In this role, you will bring your deep expertise in fraud detection and threat mitigation, into the dynamic ecosystem of Market Research. You will design Agentic AI systems to automate process workflows, build core product analytics, and guide cross-functional teams (PMs and engineering) through modeling choices.

What You Will Do

Architect Real-Time Risk & Fraud Systems: Design, train, and deploy high-throughput machine learning models to detect identity spoofing, survey fraud, and bot nets. Process large scale transaction data: Build robust, distributed data pipelines to ingest massive transaction volumes. Lead Technical Groundwork & Best Practices: Take ownership of the end-to-end ML lifecycle.

Why It Might Be a Fit

You will act as a technical leader and trusted advisor. You will design Agentic AI systems to automate process workflows, build core product analytics, and guide cross-functional teams (PMs and engineering) through modeling choices.

Requirements

• Advanced degree (Master’s) in a quantitative STEM field (Computer Science, Statistics, Mathematics, Engineering, Physics) or equivalent professional experience solving complex analytical problems.
• 5+ years of hands-on, production-level experience applying data science to real-world challenges, ideally within a high-growth tech, cybersecurity, or product-driven startup environment.
• Advanced ML & Stats Fundamentals: Deep theoretical and practical knowledge of statistical modeling, anomaly detection, evaluation metrics, and experimentation frameworks.
• Programming Mastery: Production-level coding proficiency in Python and advanced SQL.
• Cloud & ML Frameworks: Deep expertise with traditional ML libraries (Scikit-learn, XGBoost) and modern cloud-based MLOps pipelines (AWS, GCP, Databricks, MLFlow).
• Domain Expertise: A proven track record in fraud detection, cybersecurity, threat intelligence, or risk scoring.
• Communication & Leadership: Excellent stakeholder-management skills. You are comfortable navigating diverse teams, partnering with product management, and communicating complex findings to non-technical audiences.

Benefits

• Comprehensive health insurance
• Provident Fund (PF)
• Competitive compensation
• Robust leave policy
• Regular team events and celebrations
• Flexible work environment