Senior Consultant, Data Science and Analytics

Advanced programming experience in C++, preferably supporting scientific computing or analytical applications.

Strong proficiency in Python and/or R for machine learning, statistical modeling, and data science development.

Advanced SQL skills and experience working with large-scale data environments including Hadoop, Spark, and Hive.

Experience integrating machine learning frameworks such as XGBoost, LightGBM, or H2O into enterprise analytic solutions.

Experience supporting or developing applications within High Performance Computing (HPC) environments.

Familiarity with big data architecture, distributed computing concepts, and modern data engineering practices.

We're also looking for the preferred skills below. Whether you are proficient or could use some brushing up, we're happy to support your career development and growth in:

Experience developing data science applications with front-end technologies such as Shiny, Streamlit, Dash, or Tableau.

Knowledge of Apache Arrow and modern data interchange frameworks.

Familiarity with ETL methodologies, data integration frameworks, and workflow automation.

Experience with additional programming languages such as Scala or Java.

Familiarity with insurance analytics and insurance-focused data solutions.

Interest in full-stack data science development and continuous learning of new technologies and analytical methodologies.

Experience working in matrixed, global organizations supporting multiple business stakeholders.

TransUnion Overview:

At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. 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 recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.