Data Scientist Intern at PG&E developing system performance monitoring tools using operational datasets. Collaborating with the System Performance Monitoring team to support grid modernization technologies.
About the role
- Senior Data Scientist for The Hartford working on Auto Line predictive modeling solutions. Leading projects and mentoring junior talent while delivering analytics support to pricing partners.
Responsibilities
- End-to-end project leadership of predictive modeling solutions that support the auto class plan.
- Mentoring and guidance of junior talent without direct reporting relationships
- Test new data sources and modeling approaches to boost product performance.
- Engineer features to uncover additional signal for our models.
- Support model implementations with state Departments of Insurance (DOI), serving as a subject matter expert on the models you build and responding to DOI queries.
- Maintain a portfolio of repositories and scripts and suggest improvements to workflows.
- Assist in the modernization of model deployments using our cloud-based MLOps tools.
- Collaborate with team members to plan and deliver projects in an Agile framework.
- Develop and maintain analytic packages to facilitate data collection, analysis, and modeling.
- Stay up to date on machine learning techniques, apply them to your work, and share them with your team and broader data science community.
- Ensure analytic reproducibility, conduct code reviews, and maintain git hygiene.
- Promote good practices in literate, navigable, and unit-tested code.
- Share results to the business and make recommendations based on outcomes.
Requirements
- Master's degree in Statistics, Data Science, Mathematics, Actuarial Science, Economics, Engineering, Physics, or similar analytical field
- At least 5 years in the insurance industry, preferably in loss cost modeling or personal insurance products
- Comfort with generalized linear models and related techniques (e.g. ridge and lasso regression, GAMs) and the math behind them
- Hands-on experience with Python and a track record of delivering clean, literate code in a reproducible environment
- Experience using GitHub for version control, documentation, code collaboration, and technical project management
- Able to independently research solutions, identify when you are stuck, and seek help when needed.
- Obsessed with identifying and eliminating workflow inefficiencies.
- Passionate about tracking down the root cause of problems and identifying tradeoffs.
- Demonstrated experience with listening to collaborators and brainstorming outcomes that address their business problems.
- Experience building modeling solutions in cloud-native environments, such as SageMaker, a plus
- Candidate must be authorized to work in the US without company sponsorship.
Benefits
- Other rewards may include short-term or annual bonuses
- long-term incentives
- on-the-spot recognition
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