Senior Data Scientist

Razorpay · Gurgaon

  • Experience3–6 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelmid
  • Posted16 Sept 2026
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About Razorpay

Razorpay is hiring in Gurgaon in financial services. This role looks for around 3+ years of experience.

Skills

  • machine learning
  • statistical methods
  • deep learning
  • fraud prevention
  • credit underwriting
  • data processing
  • model deployment
  • data analysis
  • computer vision
  • natural language processing

The role

A data scientist at a financial services company develops machine learning for fraud prevention and credit underwriting, analyzes financial datasets, and applies statistical methods to optimize deployed models. Work also covers deep learning and computer vision across the data science lifecycle.

Full job description

We are looking for a Senior Data Scientist to build and deploy machine learning models, analyze large-scale financial datasets, and drive data-driven insights. You will own the end-to-end data science lifecycle, from data processing to model deployment and optimization, while collaborating with cross-functional teams.

Responsibilities:

Develop and implement statistical models, algorithms, and machine learning/deep learning techniques for fraud prevention and credit underwriting for the FinTech/banking partners.

Analyze large-scale datasets to identify patterns, anomalies, and trends to capture user behavior, including fraud, affluence, and credit risk.

Stay updated on the latest fraud trends and technologies to proactively identify vulnerabilities and enhance fraud prevention strategies.

Design experiments to evaluate and optimize the performance of existing AI models and algorithms.

Own the end-to-end data pipeline, including data analysis, data processing, building the AI models, and monitoring already deployed models.

Requirements:

Bachelor's degree or higher in applied mathematics, statistics, computer science, or a related field.

5+ years of experience in data science and working in a fintech startup or financial services-based company is preferred.

Strong expertise in different AI verticals, including machine learning, statistical methods, deep learning, computer vision, and NLP.

Excellent communication and collaboration skills, with the ability to work effectively in a team environment.