Sr Consultant, Data Science & Analytics

Requirements

• Sr. Consultant, Data Science and Analytics
• Job Level: P04 - Sr. Consultant
• What we'll bring:
• A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile.
• 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.
• Our Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we'll appreciate them.
• Worked on Machine Learning & Deep Learning based developments.
• Good to have some exposure into GenAI and NLP - knowledge of LLMs, agentic applications etc.
• Has experience on any of the Cloud based tools: GCP/AWS using large datasets in distributed environment
• End-to-End experience in model deployment lifecycle. Exposure to Spark ML & Pyspark ecosystem
• Strong project and time management skills to lead multiple complex projects simultaneously with limited supervision in a collaborative and fast-paced environment.
• 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. Proven ability to translate technical concepts into articulate actionable recommendations.
• Impact you'll make:
• You will partner with state-of -the-art Credit Risk Modeling team who work on entire lifecycle of risk scorecards from development to sunset.
• You will be a leading key contributor to cross-functional teams that drive new business initiatives and deliver long term, value-added solutions to TransUnion customers.
• You will provide oversight and hands-on support for the development of analytic solutions using languages R, Python, formalizing some of these efforts into repeatable process improvements.
• You will 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.
• You may participate in the interviewing and evaluation of new talent.
• In addition to core responsibilities, you will lead innovation labs-high-impact client engagements offering deep exposure to business challenges while del

Benefits

Additional Information

TransUnion's Job Applicant Privacy Notice What We'll Bring: This semi-individual contributor role operates within the credit risk model lifecycle domain, combining hands-on expertise with leadership responsibilities. The position involves leading key projects, providing strategic consulting to clients, and overseeing a small team to ensure high-quality delivery. The role focuses on driving operational efficiencies, implementing best practices, and enhancing model development, validation, and governance processes. Strong collaboration, problem-solving, and stakeholder management skills are essential to successfully balance technical execution with team coordination and client engagement.

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