Consultant, Data Science and Analytics(Credit Risk)

TransUnion LLC; Pune District; Hybrid; INR 2,500,000 - 4,500,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

TransUnion's Data Science & Analytics team in Pune is seeking an experienced Senior Data Scientist to lead analytic client engagements, deliver insights, and guide strategy using descriptive, predictive, and prescriptive methods.

You will work with R, Python, SQL, Spark on cloud platforms, mentor juniors, and collaborate with Sales, Product, and Analytics to drive value and growth.

Qualifications

• Master’s degree in statistics or a highly quantitative field.
• Five+ years of professional analytic experience in financial services or a related industry.
• Strong knowledge of consumer lending and credit risk management.
• Excellent communication and stakeholder management.
• Experience applying statistical and predictive modeling techniques.

Responsibilities

• Lead analytic engagements using descriptive, predictive, and prescriptive methods.
• Present insights and recommendations to clients and internal teams.
• Collaborate with cross-functional teams to drive analytics-driven value.
• Develop and monitor models using R, Python, SQL, Spark and cloud platforms.
• Mentor junior colleagues and manage multiple initiatives.

Skills

Analytical thinking

Communication

Mentorship

Project management

Education

Master's degree in statistics or related field

Tools

R

Python

SQL

Spark

Job description

TransUnion's Job Applicant Privacy Notice Team Overview

The team is part of TransUnion's Data Science & Analytics organization and supports lenders operating in the U.S. short-term lending market. The team delivers data-driven insights, credit risk strategies, predictive analytics, and customer-focused solutions that help clients improve portfolio performance, optimize lending decisions, and drive business growth. The team partners closely with Sales, Product, and Analytics functions across TransUnion to develop innovative solutions, enhance customer value, and support revenue growth through analytics-led engagements 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. 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

• Lead analytic client engagements involving descriptive, predictive, and prescriptive analysis, using techniques such as segmentation, logistic regression, machine learning, and scenario/strategy analysis.
• Deliver analytic insights and recommendations in succinct, compelling presentations for internal and external customers.
• Partner with cross-functional teams to identify growth opportunities, improve risk management practices, and support the development of value-driven analytics solutions for customers.
• Design and write programs for model development, performance monitoring, strategy evaluation, and large-scale data analysis using languages such as R, Python, SQL, Spark and cloud-based platforms.
• Provide mentorship and training to junior colleagues and manage progress across multiple initiatives under limited direct supervision.
• Foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.
• Support continuous innovation by evaluating emerging analytical techniques, technologies, and industry trends to enhance business outcomes.

Required Knowledge And Experiences

• Master’s degree in statistics, applied mathematics, financial mathematics, operations research, or another highly quantitative field, with at least five (5) years of professional experience performing advanced analytic work in financial services, consumer credit, or a related industry.
• Working knowledge of consumer lending and credit risk management practices, including familiarity with credit bureau data and business practices.
• Exceptional interpersonal and communication style, with the ability to communicate effectively at multiple levels within and outside the organization.
• Proven experience applying statistical and predictive modeling techniques to support business decision-making and measurable customer outcomes.
• Strong project management skills, with ability to manage competing priorities and deliver results in a fast-paced, collaborative, and matrixed environment.

TransUnion Overview:

At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence. Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.

TransUnion is a global information and insights company with over 12,000 associates operating in more than 30 countries. We make trust possible by ensuring each person is reliably represented in the marketplace. We do this with a Tru picture of each person: an actionable view of consumers, stewarded with care. Through our acquisitions and technology investments we have developed innovative solutions that extend beyond our strong foundation in core credit into areas such as marketing, fraud, risk and advanced analytics. As a result, consumers and businesses can transact with confidence and achieve great things. We call this Information for Good – and it leads to economic opportunity, great experiences and personal empowerment for millions of people around the world.