Data Science Expert

5 days ago

Pune, Maharashtra, India TransUnion LLC Full time
About This Role

This position is responsible for supporting the development of credit risk management and business intelligence analytic solutions through consulting engagements and research serving TransUnion's clients.

Key Responsibilities
  • You will partner 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. This includes but is not limited to developing predictive risk management and business intelligence solutions for credit card issuers, auto & mortgage lenders, collections agencies, and retail banks.
  • You will contribute in analytic engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging various techniques (e.g., segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis).
  • You will design and write programs for data extraction, segmentation, and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive, and Spark on server and cloud-based computing platforms.
  • You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
  • You will identify strategies and opportunities for customers to test and adopt TransUnion's analytic products and services.
About You

We are seeking a highly skilled Data Science Expert to join our team. In this role, you will have the opportunity to work with complex data sets, develop advanced analytical models, and collaborate with cross-functional teams to drive business growth.

To be successful in this role, you should have a strong background in data science, excellent analytical and problem-solving skills, and the ability to communicate complex ideas effectively.

Requirements
  • Bachelors (4-year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, 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
  • 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%
Preferred Qualifications
  • Master's (2 years) or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least one (1) year of professional experience performing analytic work in Financial Services or related industries
  • Familiarity with credit bureau data and business practices
  • Experienced with Tableau or other visualization tools
  • Advanced skills using Excel formulas, macros, and pivot tables to provide detailed analytical reports.
  • Operates under modest supervision in a complex and dynamic, matrixed environment
  • Experienced working in a company with a global presence
  • Experience with modern 'big data' frameworks (Hadoop, Spark, cloud)
What We Offer

We offer a competitive salary range of $120,000 - $180,000 per year, depending on experience, plus benefits including health insurance, 401(k) matching, and paid time off.

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