Associate Data Scientist

The Hartford•Hartford, CT

1d•$81,040 - $121,560

About The Position

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. As an Associate Data Scientist with The Hartford you will create analytical solutions to enhance the organization’s pricing sophistication and competitive advantage specifically for the Personal Auto and Home lines of business. You will transform large data sets into actionable business insights using predictive modeling and machine learning solutions. 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. You will be part of a multi-disciplinary analytics team, collaborating closely with data engineering, performance analytics, business intelligence, and data scientist peers. You will use agile methodologies to deliver analytics support and modeling solutions to your business partners in Personal Lines Product Management.

Requirements

Master's degree in Statistics, Mathematics, Economics, Engineering, Physics, Actuarial Science, or similar analytical field; or commensurate work experience with a Bachelor's degree and interest in further education.
At least 2 years of relevant experience in the insurance industry, with a preference for applications in loss cost modeling or personal lines products.
Ability to independently research solutions to problems, but not afraid to ask for help to refine those solutions.
Obsession with process improvement and ability to identify and eliminate waste in work flows.
Ability to prioritize tasks within the context of projects and track and communicate progress toward goals.
Empathy and an open mind when reviewing collaborators' business problems.
Ability to track down root causes and identify tradeoffs of different solutions.
Continuous learner with an interest in developing technical skills, business acumen, and relationship building.
Ability to build community around common interests and shared goals for the purpose of democratizing knowledge, championing best practices, and supporting others.
Understanding of the importance of culture, collaboration, and inclusivity as essential ingredients of a high-output data team.
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.

Nice To Haves

Applications in loss cost modeling or personal lines products

Responsibilities

Create analytical solutions to enhance the organization’s pricing sophistication and competitive advantage specifically for the Personal Auto and Home lines of business.
Transform large data sets into actionable business insights using predictive modeling and machine learning solutions.
Work with generalized linear models, other machine learning techniques (e.g. gradient boosted trees), and MLOps frameworks.
Collaborate closely with data engineering, performance analytics, business intelligence, and data scientist peers.
Use agile methodologies to deliver analytics support and modeling solutions to business partners in Personal Lines Product Management.
Perform modeling experiments and become familiar with our approach.
Deliver insights to business partners based on findings from modeling experiments.
Influence what work is being performed, how it is being performed, and how stakeholders are being engaged.
Contribute to projects in roles of escalating size and scope.
Tackle larger, more strategic, engagements with business partners and peers.