Senior Consultant, Data Science and Analytics

• 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.
• What You’ll Bring
• 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.

In either case, the candidate will demonstrate a consistent track record of academic excellence.

• 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, Light GBM, 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 Trans Union, 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.

Knows the organization and can flexibly adapt to changes in business objectives or organizational structure.

• 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.
• What We’d Prefer to See
• Familiarity with insurance solutions.
• The desire to work on full‑stack data science solutions and engage in continuous learning.
• Proven ability to operate effectively under modest supervision in a complex and dynamic, matrixed environment.
• Knowledge of various ETL techniques and frameworks.
• Work experience in industries served by Trans Union, such as financial services, insurance, fraud and digital marketing.
• Impact You’ll Make
• You will drive the ongoing development and enhancement of Trans Union’s in‑house Insurance Analytics platform (Insure R), 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 Trans Union’s analytic products and services.

In this capacity, you will interact directly with Trans Union’s matrix partners and provide an analytic perspective and general support as needed.

• 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 Trans Union brand.
• You may participate in the interviewing and evaluation of new talent.

This is a remote position which may require occasional in‑person attendance at work‑related events at the discretion of management.

• Job Title
• Sr Consultant, Data Science and Analytics
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