Analyst, Data Science and Analytics

Posted Yesterday
Pune, Mahārāshtra, IND
Hybrid
Entry level
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The Role
Develop predictive models, machine learning solutions, business intelligence capabilities, and analytical programs using R and Python. Analyze large datasets, conduct scorecard and portfolio analytics, generate recommendations, support client and product initiatives, and present findings to stakeholders. The role also involves data extraction, segmentation, documentation, performance monitoring, and collaboration with project managers and analytics teams.
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Team Overview

The Data Science & Analytics team delivers advanced analytics, data science, and consulting solutions across multiple industries including financial services, retail and insurance. The team leverages big data, cloud computing, machine learning, and predictive analytics to develop innovative products, enhance existing solutions, and provide analytics-driven insights to clients. The team also supports consultancy-led sales engagements, scorecard development, portfolio analytics, affordability solutions, and research initiatives while collaborating with global analytics experts and cross-functional stakeholders. This team operates within the Global Data Science & Analytics organization. This role will be rolled up under Product Analytics Leadership. 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

  • Develop predictive models, analytical solutions, and business intelligence capabilities for clients across various industries.
  • Participate in descriptive, predictive, and prescriptive analytics engagements supporting product and client development initiatives.
  • Design and develop programs for data extraction, segmentation, statistical analysis, machine learning, and AI-based solutions using R and Python.
  • Analyze large-scale datasets and generate data-driven recommendations and insights.
  • Conduct scorecard development, affordability analytics, portfolio reviews, performance monitoring, and ad hoc analytical studies.
  • Support bureau data submissions and retrospective analysis activities.
  • Collaborate with project managers, analytics teams, and business stakeholders to ensure timely delivery of analytical workstreams.
  • Present analytical findings and recommendations to internal and external stakeholders.
  • Prepare and maintain analytical deliverables and supporting documentation to required quality standards.

Required Knowledge And Experiences

  • Bachelor's degree in Statistics, Mathematics, Business Analytics, Data Science, Economics, or related quantitative discipline. Equivalent professional experience in analytics, risk, or model governance will also be considered
  • Experience in predictive modeling, statistical analysis, and data science techniques.
  • Strong programming skills in R and/or Python.
  • Knowledge of machine learning, artificial intelligence, data extraction, and data segmentation methodologies.
  • Experience working with large datasets and analytics solutions.
  • Understanding of scorecard development, portfolio analytics, and credit risk analytics is preferred

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 Job Title


Analyst, Data Science and Analytics

Skills Required

  • Bachelor's degree in Statistics, Mathematics, Business Analytics, Data Science, Economics, or a related quantitative discipline
  • Equivalent professional experience in analytics, risk, or model governance may substitute for the degree
  • Experience in predictive modeling, statistical analysis, and data science techniques
  • Strong programming skills in R and/or Python
  • Knowledge of machine learning, artificial intelligence, data extraction, and data segmentation methodologies
  • Experience working with large datasets and analytics solutions
  • Understanding of scorecard development, portfolio analytics, and credit risk analytics

What the Team is Saying

Patrick
Tiana
Jason
Lauren
TC
Jay
Aayushi
Paul
Alex Barnett
Sheetal Wathare
TransUnion
TransUnion

TransUnion Compensation & Benefits Highlights

  • Healthcare Strength — The package includes day-one medical coverage with multiple plan options, HSA/FSA, dental, vision, disability resources, and robust mental-health support (therapy, coaching, EAP).
  • Parental & Family Support — Offerings include 12 weeks of paid parental leave with a gradual return, adoption and caregiver assistance, dependent-care FSA, Care@Work, and recognition for inclusive family benefits such as subsidized childcare and fertility reimbursement.
  • Leave & Time Off Breadth — Flexible time off, 10 paid holidays, two global wellness days, and paid volunteer time indicate a broad time-off program.

TransUnion Insights

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The Company
HQ: Chicago, IL
13,000 Employees
Year Founded: 1968

What We Do

TransUnion is a global information and insights company that makes trust possible by ensuring that each consumer is reliably and safely represented in the marketplace. We do this by having an accurate and comprehensive picture of each person. This picture is grounded in our legacy as a credit reporting agency which enables us to tap into both credit and public record data; our data fusion methodology that helps us link, match and tap into the awesome combined power of that data; and our knowledgeable and passionate team, who stewards the information with expertise, and in accordance with local legislation around the world. Because of our work, organizations can better understand consumers in order to make more informed decisions, and earn their trust through great, personalized experiences, and the proactive extension of the right opportunities, tools and offers. In turn, consumers can be confident that their data identities will result in the opportunities they deserve. We make trust possible, so businesses and consumers can transact with confidence and achieve great things. We call this Information for Good®—it’s our purpose, and what drives us every day.

Why Work With Us

Our culture is welcoming, energetic and innovative. There’s an overall synergy that flows throughout TransUnion, creating a sense of unity in knowing that we’re all working to achieve the same overall goal. We’re dedicated to providing opportunities for our people to get involved and stay connected with their colleagues across the globe.

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Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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