Analyst II, Data Science

Description

• Work independently with product management, underwriting, marketing, finance, actuarial, IT, risk management, claims, loss control, distribution or other areas on complex, cutting edge analyses and recommendations regarding appropriate courses of actions.
• 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 to optimize business solutions.
• Applies industry knowledge, develops predictive analytics techniques, and contributes to business strategy using storytelling with data.
• Applies complex data science techniques.
• Applies skills and uses 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.
• Enables the business to make 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%.

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‑related occupation. Position requires demonstrable experience with the following:

• Property & Casualty Insurance, specifically underwriting and rate making 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: SAS, R, Python, SQL, Jupyter notebook, VScode, and Pycharm.
• Proven expertise with Git Hub 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.

To apply, please visit , select “Search Jobs,” enter job requisition # in the “Job  Keywords” field, and submit resume. Alternatively, you may apply by submitting a resume via e‑mail to  Reference requisition number in subject of e‑mail.

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 all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within 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 thrive. We build an environment that welcomes a wide range of…