Analyst, Data Science and Analytics

Overview

Analyst on the Data Science & Analytics team, delivering predictive modeling, analytics and consulting solutions across financial services, retail and insurance clients.

What you'll do

• 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.

What you'll need

• Bachelor's degree in Statistics, Mathematics, Business Analytics, Data Science, Economics, or related quantitative discipline, or equivalent professional experience in analytics, risk, or model governance.
• 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.

Nice to have

• Understanding of scorecard development, portfolio analytics, and credit risk analytics.

Details

• Location: Pune.
• Hybrid position: a minimum of two days a week in-person at an assigned TransUnion office location, with the remainder performed virtually.
• Part of the Global Data Science & Analytics organization, rolled up under Product Analytics Leadership.