Analyst, Data Science (Pune)

TransUnion's Job Applicant Privacy Notice

Team Overview

At TransUnion, we're building the next generation of Fraud Prevention, Identity, and Marketing solutions by combining AI, automation, cloud engineering, and large-scale data platforms.

Join a high-impact engineering team within our Data & Analytics organization, developing intelligent systems that help businesses detect fraud, improve customer experiences, automate decision-making, and unlock insights from data at scale.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Role Overview And Core Responsibilities

Role Overview and Core Responsibilities

This position is responsible for supporting the development of fraud risk management and business intelligence analytic solutions serving TransUnions clients.

• You will partner with state-of -the-art Fraud Analytics team to create cutting edge fraud solutions, extensively using graph technology to combat fraud.
• You will work on unique data sets with petabytes of volume to analyze and build meaningful model solutions.
• You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
• You will identify strategies and opportunities for customers to test and adopt TransUnions analytic products and services.
• You will foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.
• Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least one (1) year of skilled experience performing analytic work in SaaS, Consulting or related industries.
• Worked with advanced machine learning methods.
• Fluent in Python and PySpark
• Passionate about LLMs, advanced analytics and .