Analyst, Data Science and Analytics
TransUnion (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 6–14 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop predictive models and analytic solutions for clients across multiple industries using advanced data science techniques.
- Conduct scorecard development, portfolio analytics, affordability analysis, and ad hoc analytical studies.
- Collaborate with project managers and stakeholders to deliver timely analytics workstreams and present findings to internal and external audiences.
Minimum Requirements
- Bachelor's degree in Statistics, Mathematics, Business Analytics, Data Science, Economics, or related quantitative field (or equivalent professional experience).
- Proficiency in programming languages R and/or Python for data extraction, segmentation, and statistical analysis.
- Experience in predictive modeling, machine learning, and working with large datasets.
- Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
- Experienced in predictive modeling and scorecard development with a focus on credit risk analytics or portfolio management.
- Skilled in leveraging machine learning and AI techniques in a cross-functional, product analytics environment.
- Capable of delivering analytics-driven business insights and collaborating effectively with project managers and analytics teams in a hybrid work setup.