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Sr Data Scientist - GD07AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

The Hartford seeks energetic and passionate data science talent to build high-performing, empathetic analytics teams and deliver smarter product pricing decisions. This role will focus on the Auto Line within the Personal Insurance Loss and Demand Modeling Team. We support our product and pricing partners through the delivery of rigorously developed and tested solutions including models and implementation support.

As a Senior Data Scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical teams to enhance our pricing sophistication. Your analyses and models will directly support decisions pertaining to data strategy, risk management, and pricing. Generalized linear models are a core technical component of this role, but you will also work with other machine learning techniques (e.g. gradient boosted trees) and MLOps frameworks. In addition, due to the number and complexity of the models we support, this role will entail significant workflow organization and management to ensure we can execute and iterate efficiently.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

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.

Experiences & Skills

+ 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. Candidates from other industries will be considered, but due to the team’s proximity to the product, insurance experience will stand out.

+ 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

+ Committed to democratizing knowledge, evangelizing good practices, and supporting peers.

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$110,720 - $166,080

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us (https://www.thehartford.com/about-us) | Our Culture (https://www.thehartford.com/about-us/corporate-culture) | What It’s Like to Work Here (https://www.thehartford.com/careers/our-employees) | Perks & Benefits (https://www.thehartford.com/careers/benefits)

Every day, a day to do right.

Showing up for people isn’t just what we do. It’s who we are – and have been for more than 200 years. We’re devoted to finding innovative ways to serve our customers, communities and employees—continually asking ourselves what more we can do.

Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?

That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.

And while how we contribute looks different for each of us, it’s these values that drive all of us to do more and to do better every day.

About Us (https://www.thehartford.com/about-us)

Our Culture

What It’s Like to Work Here (https://www.thehartford.com/careers/our-employees)

Perks & Benefits

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