Data Science Analyst, Analytics
TransUnion
full-time
Posted on:
Location Type: Hybrid
Location: Pune • India
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About the role
- Supporting the development of credit risk management and business intelligence analytic solutions through consulting engagements and research
- Partnering with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added product propositions for TU’s B2B customers globally
- Contributing in analytic engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle
- Designing and writing programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive, and Spark
- Delivering analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience
- Identifying strategies and opportunities for customers to test and adopt TransUnion’s analytic products and services
- Fostering a high performance culture and cultivating an environment that promotes excellence and reflects the TransUnion brand
Requirements
- Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field
- At least four (3) year of professional experience performing analytic work in Financial Services or related industries
- Strong analytical, critical thinking, and creative problem-solving skills
- Excellent understanding of machine learning techniques and algorithms, such as Classification, Regression, Clustering, Feature Engineering, Decision Trees, Gradient Boosting, etc.
- Advanced programming skills; proficiency with a statistical language such as R; experience using other programming and data manipulation languages preferred (SQL, Hive, Pig, Python, C/C++, Java);
- High level of familiarity with Microsoft Office tools
- Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization
- Ability to work in a collaborative, fast-paced environment
- Strong project management skills with the ability to manage multiple assignments effectively
- Ability to travel 10-20%
Benefits
- Flexible time off
- Workplace flexibility
- Support of tuition reimbursement
- Conferences and seminars
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
RPythonSQLHiveSparkmachine learningClassificationRegressionClusteringFeature Engineering
Soft skills
analytical skillscritical thinkingcreative problem-solvinginterpersonal skillscommunication skillscollaborationproject managementability to manage multiple assignments