Data Scientist for Insurance Analytics
“We truly have a big data analytical environment that is continuing to grow” – Gene Volchek, Senior Vice President of 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.
As an Analyst on our team, you will join a world class group of statisticians, data scientists, mathematicians, and modelers on a mission to extract insights from information and put them to good use.
You will have an opportunity to be a part of a variety of analytical projects in a non-siloed environment and be recognized for the work you deliver.
What you’ll bring:
You possess solid knowledge of GLM, Machine Learning, AI etc. and proficient in programming SAS, R, Python, Hive etc.
You have strong written and verbal communication skills with the ability to clearly articulate ideas to both technical and non-technical audiences
You have robust analytical, critical thinking, and creative problem solving skills
You have strong time management skills with the ability to prioritize and contribute to multiple assignments simultaneously
Your strong project management skills including of delegating work, setting clear goals, and managing customer expectations with the ability to oversee and manage small project teams is especially impactful in meeting project deliverables
You come in with 2 to 5 years of professional analytical modeling experience, solving problems relevant to the problems we solve at TransUnion
You have an advanced degree in fields of quantitative discipline such as Mathematics, Statistics, Engineering, Analytics and other related fields with advanced coursework in statistics
What we love to see:
Experience in optimization of machine learning algorithm
Experience in Deep Learning
Advanced proficiency with one or more statistical programming languages such as R or SAS; additional experience writing intermediate SQL queries for data extraction is even better
Ph. D. degree in statistics/computer science from a highly accredited university
Impact you’ll make:
Contribute to advanced insurance analytics on topics including utilizing telematics data for risk differentiation, as well as other insurance IoT.
Participate insurance analytics tool development projects.
Collaborate with internal and external partners to deliver innovative analytical products and insights. You will be directly involved in the development of predictive modeling and business intelligence solutions for clients such as credit lenders, insurance carriers, and other financial services institutions.
Contribute to projects involving descriptive, predictive, and prescriptive analysis leveraging a variety of techniques (such as segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis, and machine learning).
Lead small projects and/ or work streams as a part of larger projects; this may involve delegating tasks to other team members and managing the team to meet deliverables on time.
Dig in by extracting data and performing segmentation and statistical analyses on large population datasets (using languages such as R, SAS, SQL, and Python on Linux and PC computing platforms).
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.