Note: This is a remote opportunity with compensation dependent on candidate’s geographic location, overall experience, and skill level.
Advanced Analytics & Modeling
From automating claims processes to optimizing marketing tactics to designing effective chatbots, Advanced Analytics & Modeling (AA&M) develops predictive analytics tools and provides data-driven insights that inform strategic decision making. By leveraging AI, machine learning and other advanced analytics techniques, AA&M increases efficiency and drives profitability across Liberty Mutual. Join the creative problem solvers of our Insights & Solutions group who are harnessing the power of data, analytics and technology to innovate today and transform tomorrow.
The Junior Data Scientist gains experience in collaborating with business partners to develop predictive analytic solutions that enable data driven strategic decision making. This role utilizes data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions. This role is part of the Capacity & Forecasting team, which provides staffing guidance to the Global Retail Markets US Service and Claims organizations, including predicting the amount of incoming calls/claims in the future.
This level focuses on gaining industry knowledge, development of predictive analytics techniques, and obtaining experience in storytelling with data.
Responsibilities:
- Applies data science techniques; gains confidence in skill application using analytics and data science techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
- Identifies and tests hypotheses, ensuring statistical significance, as part of building predictive models for business application.
- Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
- Gains experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes.
- Assists in customizing analytic solutions to specific client needs.
- Responsible for smaller components of projects considered low to moderate complexity and may work on smaller components of complex projects.
- Engages with the Data Science community.
- Participates in cross functional working groups.
Job Specifications:
Reference: 2022-52465
Category: Analytics
Primary Location: Remote
Additional Locations:
Schedule: Full-Time
Salary: USD-$99,000.00-–-$115,000.00-/-Year
Education Level:
Travel: As Needed