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.
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Team Overview
The Data Science Development team is responsible for building and supporting TransUnion's proprietary analytics platforms and scientific computing capabilities that power advanced solutions across Insurance Analytics and other business domains. The team partners closely with Global Data Science & Analytics, Insurance Analytics, and Global Technology to deliver scalable machine learning, mathematical programming, and big data solutions that drive innovation across the organization. This role reports through the Data Science Development organization within Global Data Science & Analytics (DSA). This is a remote position which may require occasional in-person attendance at work-related events at the discretion of management.Role Overview And Core Responsibilities
- Drive the development, enhancement, and maintenance of TransUnion's proprietary Insurance Analytics platform (InsureR), delivering scalable and high-quality machine learning and analytic solutions.
- Design, develop, and optimize advanced analytic applications using C++, Python, R, SQL, Hive, Spark, and related technologies.
- Improve analytic platform usability by contributing to front-end solutions and user experience enhancements that increase adoption and efficiency.
- Provide hands-on support for regional analytic environments, troubleshooting technical issues and ensuring platform stability and performance.
- Collaborate with Global Technology teams to maintain and enhance high-performance computing (HPC) infrastructure and associated analytic frameworks.
- Partner with business stakeholders and regional teams to identify opportunities for adopting analytic products, services, and data-driven strategies.
- Contribute to research and innovation initiatives focused on machine learning, scientific computing, and advanced analytics methodologies.
- Serve as a subject matter expert on analytic development, machine learning, and scientific computing for enterprise-wide projects.
- Mentor junior team members, support knowledge sharing initiatives, and help cultivate a high-performance, collaborative culture.
- Participate in talent acquisition activities, including interviewing and evaluating prospective candidates.
Required Knowledge And Experiences
- Master's degree in Statistics, Economics, Applied Mathematics, Financial Mathematics, Computer Science, Engineering, Operations Research, or another quantitative discipline with 3+ years of relevant experience; or Bachelor's degree with 5+ years of relevant professional experience.
- Experience developing advanced analytics, machine learning, or mathematical programming solutions within a production environment.
- Strong understanding of numerical methods, optimization techniques, scientific computing, and machine learning concepts used to solve complex business problems.
- Demonstrated ability to manage multiple projects simultaneously while collaborating effectively across cross-functional teams in a fast-paced environment.
- Experience working within industries such as financial services, insurance, fraud, risk, or digital marketing is highly valued.
- Strong business acumen with the ability to translate technical findings into actionable insights for technical and non-technical stakeholders.
- Excellent written and verbal communication skills in English and Spanish.
- Ability to travel up to 10-20% as business needs require.
Required Technical Skills
- 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.
Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.
TransUnion Job Title
Sr Consultant, Data Science and Analytics
TransUnion New York, New York, USA Office
100 Park Ave, New York, NY, United States, 10017
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