Consultant, Data Science and Analytics
7 days ago
At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day. Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology. What You’ll Bring Bachelor’s or higher in a quantitative field (e.g., statistics, applied mathematics, financial mathematics, computer science, engineering, operations research) with a strong academic record. 5 years or above experience in supporting clients and at least 4 years in analytics, ideally in industries like financial services, insurance, or digital marketing. Proven success in end-to-end model development for at least 4 years. Strong analytical, critical thinking, and problem‑solving skills with a proactive mindset. Advanced programming skills and aptitude: proficiency with statistical programs such as R or Python; experience with other programming languages (SQL, C/C++, Java, Ab Initio) and platforms (Hive, Spark). Capable of leading complex analytics projects with minimal supervision and cross‑functional collaboration. Excellent project/time management; able to handle multiple initiatives in a fast‑paced environment. Strong business acumen and communication skills; able to influence stakeholders at all levels. Deep understanding of industry trends and customer needs to identify business opportunities. Skilled in translating technical insights into actionable business recommendations. Impact You'll Make Partner with internal and external cross‑functional teams to drive new business initiatives and deliver long‑term value‑added product propositions for customers. This includes but is not limited to the development of predictive risk management and business intelligence solutions for credit card issuers, auto & mortgage lenders, collections agencies and retail banks. Lead analytics engagements across the consumer lending lifecycle using descriptive, predictive, and prescriptive techniques (e.g., segmentation, logistic regression, PCA, decision trees, random forests, XGBoost). Design and develop programs for data extraction, segmentation, and statistical analysis on large datasets using tools like R, SQL, and Hive. Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels. Develop project proposals, sales presentations and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion. Identify strategies and opportunities for customers to test and adopt TransUnion’s analytic products and services. Mentor and train junior team members, fostering a high‑performance culture aligned with TransUnion’s values. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in‑person at an assigned TU office location for a minimum of two days a week. #J-18808-Ljbffr
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Data Science Consultant: Growth
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