Lead Data Scientist
Mastercard (company site, opens in a new tab)GurugramOn-siteDirect career pageEst. 40–65 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, deployment, and optimization of AI/ML models for fraud detection, risk scoring, and anomaly detection at enterprise scale.
- Architect and guide scalable AI/ML pipelines and implement MLOps best practices including CI/CD, model governance, and monitoring.
- Develop and deploy advanced Generative AI and Agentic AI solutions leveraging LLMs, reasoning workflows, and multi-agent systems for real-time fraud prevention.
Minimum Requirements
- Strong hands-on experience with Python programming and building production-grade AI/ML software systems.
- Experience working with large-scale data using distributed computing platforms such as Spark or Databricks.
- Proven background in machine learning model development, deployment, experimentation, and operational monitoring with measurable business impact.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Senior technical leader capable of combining deep individual contribution with cross-functional influence on AI engineering initiatives.
- Experience with advanced AI techniques including LLMs, prompt engineering, agentic AI, and large-scale real-time decision systems relevant to fraud or cybersecurity.
- Familiarity with cloud platforms (Azure, AWS, GCP), MLOps lifecycle management, and building reusable AI platforms and frameworks.