| Job Description : |
At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That’s why we provide an environment focused on openness, inclusion, trust and respect. Here, you’ll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.
Liberty Mutual has proudly been recognized as a “Great Place to Work” by Great Place to Work® US for the past several years. We were also selected as one of the “100 Best Places to Work in IT” on IDG’s Insider Pro and Computerworld’s 2020 list. For many years running, we have been named by Forbes as one of America’s Best Employers for Women and one of America’s Best Employers for New Graduates—as well as one of America’s Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-inclusion
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran’s status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Job Summary:
Are you looking for a position where you can work in a team at the cutting edge of insurance pricing research and discover deep relationships between driving behavior and risk? Where you can work with billions of miles of telematics data to aid in the development of new products and help make the roads a safer place? Our Global Retail Markets Product Design and Modeling department is seeking a talented data scientist to develop pricing models and lead research projects for our Usage Based Insurance (UBI) products: from understanding the data captured to producing pricing for new and existing products. This highly technical position will be a great fit for someone who is passionate about discovering new knowledge and developing solutions at the frontier of a constantly evolving market space!
The successful candidate will have a proven track record of working effectively with highly talented professionals to develop creative solutions to complex problems, be comfortable with data and modeling, and understand the business goals and strategy. Solid communication and interpersonal skills are critical to the role, and the individual we hire will work very closely with their team, internal partners and external vendors as we work to test and implement new ideas. This is a visible position in a quickly growing area, where you will have a key role in expanding the UBI pricing capabilities of the organization worldwide.
Job Responsibilities
Build pricing models and novel features for Liberty Mutual’s UBI programs
Explore and utilize advanced modeling techniques to inform pricing decisions
Translate quantitative analyses and findings into solutions to business problems
Understand clear trade-offs between and among choices, with a reasonable view into likely outcomes
Partner with internal and external teams to develop UBI product design and research projects
Collaborate with internal stakeholders to help develop novel UBI research applications
Potential to work with massive amounts of raw telematics sensor data to build sophisticated models describing automobile driver behavior
Regularly engage with the data science community and leads cross functional working groups
Bachelors w/ 5+ years, Masters w/ 4+ years, or Ph. D with 2 years of relevant experience in a quantitative field
Demonstrated ability to exchange ideas and convey complex information clearly and concisely, both verbally and in writing
Experience with predictive modeling and statistical software packages (e.g., SAS, Emblem, Python/R)
Strong programming skills, especially Python, R and SQL
Experience with Spark, Hadoop, AWS EMR, Presto or other common big data tools is preferred
Experience using a version control system such as Git
Experience with the business considerations of building and implementing pricing models a plus
Experience with popular machine learning and deep learning frameworks (e.g. H2O, TensorFlow, PyTorch, SparkML, MXNet) a plus
Prior experience with high-frequency data and signal processing a plus
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