Senior Consultant, Data Science and Analytics

Sr 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, LightGBM, 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 flexibility 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 (InsureR), 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…