Analyst, Data Science and Analytics
TransUnion (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 6–14 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop predictive models and analytical solutions for clients across industries including financial services, retail, and insurance.
- Design and implement data extraction, segmentation, statistical analysis, machine learning, and AI-based programs using R and Python.
- Support scorecard development, portfolio analytics, performance monitoring, and deliver analytical insights to stakeholders.
Minimum Requirements
- Bachelor's degree in Statistics, Mathematics, Business Analytics, Data Science, Economics, or related quantitative discipline or equivalent professional experience.
- Experience in predictive modeling, statistical analysis, and data science techniques is required.
- Strong programming skills in R and/or Python are mandatory.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in working with large-scale datasets and advanced analytics solutions in financial services or similar sectors.
- Knowledgeable in credit risk analytics, scorecard development, and portfolio analytics to drive actionable insights.
- Capable of collaborating across cross-functional teams and communicating analytical findings effectively to internal and external stakeholders.