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As a Data Scientist, you'll develop analytic solutions, lead client engagements, create predictive models, and deliver insights for TransUnion's clients. You'll also work with cross-functional teams and clients, enhancing business initiatives in various industries.

The Advisor in Data Science and Analytics leads custom analytic engagements, develops technical solutions, and supports clients in various business applications, emphasizing predictive analytics and machine learning techniques.

The Lead Data Scientist will manage projects on credit risk and business intelligence analytics, leveraging statistical models to provide insights for financial services clients. Responsibilities include developing solutions, leading client engagements, and mentoring junior staff.

Lead and grow data science teams, define and execute analytics roadmaps, deliver production-grade ML/AI solutions on cloud and big-data platforms, influence senior stakeholders, ensure reproducibility and MLOps best practices, and drive measurable business impact through strategic analytics and capability building.

Lead analytic client engagements for financial services customers, develop predictive and prescriptive models, design data extraction and modeling code (R/Python/SQL) on large datasets using Spark/BigQuery, deliver insights to executives, support sales proposals, mentor junior staff, and travel ~10-20%.

The role involves driving development in data science platforms, enhancing analytic tools, and leading data science initiatives. Candidate will support teams across regions and mentor juniors.

Lead development and delivery of analytic solutions across credit, fraud, insurance, and marketing. Manage small teams and client engagements, design and deploy ML/DL models, implement model governance and monitoring, and translate technical work into business recommendations. Contribute to research, mentor junior staff, and support proposals through production deployments using R, Python, and big-data/cloud tooling.

This role involves developing ML tools and frameworks, supporting data science environments, and leading projects from design to execution. Candidates need strong programming skills and a quantitative background.

The AI Governance Analyst will manage AI risk assessments, maintain AI governance frameworks, and ensure compliance with regulations, while coordinating with stakeholders and producing reports.

The Data Scientist will develop analytic solutions and predictive models for TransUnion's clients in financial services and insurance. They will engage with clients, lead projects, and deliver insights using advanced programming and statistical techniques.