Senior Consultant, Data Science and Analytics

🕒 May 21

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TransUnion

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1968

💸 Finance

🔐 Security

👥 B2C

💰 Post-IPO Debt on 2018-04

Finance • Security • B2C

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

• You will drive the ongoing development and enhancement of TransUnion’s in-house Insurance Analytics platform (InsureR), applying advanced expertise in machine learning, mathematical programming, and software development to deliver scalable, high-quality solutions. • You will enhance the usability and effectiveness of analytic tools by contributing to UI/UX improvements that enable better user experiences and adoption. • You will provide hands-on regional support, partnering with teams to troubleshoot and resolve issues within local analytic environments, ensuring continuity and performance. • You will play a key role in supporting global Data Science and Analytics (DSA) and Insurance Analytics teams, strengthening critical capabilities that power enterprise-wide analytics solutions. • Lead the development of analytic solutions using languages such as C++, R, Python, SQL, Hive and Spark, formalizing some of these efforts into repeatable process improvements. • Assist Global Technology with maintenance of the tools and frameworks used by analysts on the high-performance computing (HPC) cluster and be a lead representative of the Data Science Development team in projects led by Global Technology as a subject matter expert on machine learning and scientific computing. • Own data science consulting responsibilities for a variety of regions, working to identify strategies and opportunities to test and adopt TransUnion’s analytic products and services. • Contribute to research and innovation initiatives in collaboration with other DSA peers and may lead small analytic research teams or manage research interns on a project basis, as needed. • You will participate in the mentoring and training of junior colleagues, fostering a high-performance culture and cultivating an environment that promotes excellence and reflects the TransUnion brand.

🎯 Requirements

• Master’s degree in statistics, economics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field with at least 3 years of experience; or a Bachelor’s degree in a quantitative field with at least five (5) years of relevant professional experience. • Experienced data scientist with extensive mathematical programming and theoretical foundation and advanced software development skills to support development of state-of-the-art homegrown analytic platforms. • Advanced C++ programming skills, preferably in scientific computing applications. • Experience designing and implementing advanced numerical algorithms. • Experience with integrating popular machine learning frameworks (such as XGBoost, LightGBM, H2O). • Proficiency with statistical languages such as R or machine learning packages for Python; experience with other programming languages (Scala, Java) and HPC environments (Slurm, Univa, SGE, Torque). • Advanced SQL programming skills and experience with big data platforms (Hadoop, Spark, Hive); knowledge of Apache Arrow is a plus. • Experience engineering connections between big data frameworks and front end applications (Shiny, Streamlit, Dash, Tableau). • Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving. • Demonstrated interest and proven career path in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing. • Strong project and time management skills to lead multiple complex projects simultaneously with limited supervision in a collaborative and fast-paced environment. This may require the management of multiple resources within a project and the effective coordination of tasks across resources using clear workflows. • Excellent business acumen and versatile interpersonal skills to communicate effectively at multiple levels within a complex and dynamic matrix organization. • Good verbal and written communication skills in both Spanish and English. • Proven ability to translate technical concepts into articulate actionable recommendations in a manner that is suitable to influence business partners and decision-makers inside and outside towards desired outcomes. • Ability to travel 10-20% of the time.

🏖️ Benefits

• A work environment that encourages collaboration and innovation. • Flexible time off, workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars. • Our culture encourages our people to hone current skills and build new capabilities, while discovering their genius. • We provide a modern computing environment based on best-in-class "big data" and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies.