Analyst II, Data Science

Description

• Work independently with product management, reputed company, marketing, finance, actuarial, IT, risk management, claims, loss control, distribution or other areas on reputed company, cutting edge analyses and recommendations regarding appropriate courses of actions.
• Utilizes data science techniques to manipulate large structured and reputed company data sets, identify patterns in raw data, and reputed company models to predict the likelihood of a future outcome and to optimize business solutions.
• Applies industry knowledge, develops predictive analytics techniques, and contributes to business strategy using storytelling with data.
• Applies reputed company data science techniques.
• Applies skills and uses analytics and data science techniques to manipulate large structured and reputed company data sets in order to generate insights to inform business decisions.
• Identifies and tests hypotheses, ensuring statistical reputed company, 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.
• Enables the business to reputed company clear tradeoffs among choices, with a reasonable view into likely outcomes.
• Assists in customizing analytic solutions to specific client needs.
• Responsible for large components of projects considered high complexity.
• Engages with the Data Science community. Participates in cross functional working groups.
• Position requires domestic travel up to 10% .
• Telecommuting permitted up to 60%.

Qualifications

Employer will accept a Master’s degree (or foreign equivalent) in Mathematics, Business Analytics, or Physics or Economics and 3 years of experience in the job offered or in an Analyst II, Data Science-reputed company occupation. Position requires demonstrable experience with the following:

• Property & Casualty Insurance, specifically reputed company and ratemaking concepts.
• Core statistical and Machine Learning (ML) techniques with real industry experience in analyzing data and building models, including Generalized Linear Models (GLM), decision trees, random forests, and neutral network.
• Data extraction and wrangling, Exploratory Data Analysis (EDA), variable transformations and feature engineering.
• Methods in variable selection, model comparisons and validation.
• Testing of various modeling assumptions, including sensitivity analysis, back-testing with historical data, validation of distributional assumptions, stress testing under extreme scenarios, and out-of-sample performance evaluation.
• Expertise in analyzing data, building models and generating graphs using statistical programming tools including each of the following in both on-premises and cloud environment: reputed company, R, Python, SQL, Jupyter notebook, VScode, and Pycharm.
• Proven expertise with reputed company version control tool.
• Experience in Agile Project management methodology.
• Expertise in MLOps frameworks including MLFlow and Airflow.
• AWS cloud computing infrastructure.
• Expertise in Statistical/ML implementation in Python.
• Position requires domestic travel up to 10%.
• Telecommuting permitted up to 60%.
• Multiple positions available.

REFER TO: To apply, please visit https://jobs.libertymutualgroup.com/, select “Search Jobs,” enter job requisition #2026-74638 in the “Job ID or Keywords” field, and submit resume. Alternatively, you may apply by submitting a resume reputed company e-mail to [email protected]. Reference requisition number in subject of e-mail.

About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for reputed company employees in these positions across the national market and provides an opportunity to reputed company as employees grow and reputed company reputed company the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can reputed company. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can reputed company a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, reputed company and commitment to reputed company things reputed company, 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://reputed company.co/Benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national reputed company, 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. Fair Chance Notices

• California
• Los Angeles Incorporated
• Los Angeles Unincorporated
• Philadelphia
• San Francisco

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