Data Scientist

Job Requirements

Job role: Data Analyst

Department: New Age – Data & Analytics

Purpose

The position is in the Fraud & Operational Analytics Team. This team is mainly responsible for creating, Machine Learning/ AI solutions for effective fraud prevention and driving operational scalability to improve customer experience, reduce operational cost, risk mitigation, etc. The role will focus on building cutting edge ML solutions.

Responsibilities

• Analyze large amounts of data to derive business insights and create innovative solutions Understanding business nuances and associated fraud patterns.
• Develop advanced ML models for fraud identification.
• Innovate with a focus on better and newer approaches.
• Explore alternate data sources which can add value on top of traditional data sources.
• The role requires exhibiting a high level of expertise in data strategy and model training pipelines.
• S/He will drive insights in generating data driven actionable strategies.
• Supporting the business and risk teams with bespoke and strategic analysis
  
  

Functional And Technical Skills

• Proficiency and experience in econometric, statistical and machine learning techniques.
• Proficiency in Python, SQL, Pandas, Numpy, Sklearn, TensorFlow/PyTorch etc
• Strong understanding of statistical concepts and modelling techniques for regression,
• classification and anomaly detection.
• Good understanding of evaluation metrics
• Logical thought process, ability to scope out an open-ended problem into data driven solution.
  
  

Educational Qualifications

Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA)

Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA)