Data Science and Analytics Analyst

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TransUnion

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1968

💼 Consulting

📣 Marketing

📦 Logistics

💰 Post-IPO Debt on 2018-04

Consulting • Marketing • Logistics

TransUnion is a global credit information and insights company based in the United States. It offers a range of products and services related to credit monitoring, identity theft protection, and credit report management, including free annual credit reports, fraud alerts, and credit freezing services. TransUnion uses the VantageScore® 3. 0 model to provide credit scores, although lenders may use different models to assess creditworthiness. It provides powerful tools for consumers to manage and understand their credit health, such as credit monitoring with alerts and ID theft insurance. TransUnion serves various industries, including financial services, automotive, and media, and is committed to financial inclusion, data security, and consumer privacy. It also provides business solutions for credit portfolio management, customer acquisition, debt recovery, and fraud prevention.

📋 Description

• Support the development, testing, and deployment of analytical and machine learning solutions • Analyze large datasets to identify trends, patterns, and actionable insights • Assist in data preparation, feature engineering, and model validation activities • Support the creation of reports, visualizations, and presentations • Collaborate with team members on research initiatives and data-driven projects

🎯 Requirements

• Currently pursuing the final year of a Bachelor degree or recently graduated in a quantitative field • Candidates from non-quantitative fields who completed Data Science coursework are encouraged to apply • No professional Data Science experience is required • Demonstrated passion for data, analytics, and problem-solving • Strong analytical thinking, critical reasoning, and intellectual curiosity • Strong verbal and written communication skills in English • Foundational programming knowledge in Python or R • Basic understanding of SQL and relational databases • Knowledge of statistics, probability, and data analysis concepts • Exposure to machine learning concepts through academic projects or coursework • Ability to work with structured datasets and derive insights • Preferred: experience as a Teaching Assistant, Research Assistant, Tutor, or Student Mentor • Preferred: participation in university research projects, academic publications, or conference presentations • Preferred: academic, personal, or capstone projects involving data analysis or machine learning • Preferred: participation in data science competitions or hackathons • Preferred: experience collaborating on multidisciplinary team projects

🏖️ Benefits

• Work/life flexibility • Resources for teams across the globe to collaborate and drive excellence • Professional development support and access to help along the way • Opportunity to work with pioneering products and cutting-edge technology