Senior Data Scientist

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 a Senior Data Scientist Employee Benefits Data Science, AI, and Analytics (DSAIA) to develop machine learning solutions supporting actuarial pricing, underwriting, and reserving modeling.

The Employee Benefits DSAIA team is a rapidly growing team focused on providing deep insight, automation, and augmentation across the policy lifecycle for Employee Benefits customers and internal business stakeholders. The EB DSAIA team supports a portfolio across the EB lifecycle, from sales and underwriting to policy installation, renewal, and everything in between.

As a Senior Data Scientist in the Employee Benefits DSAIA team, you will participate in the entire solution lifecycle. You'll partner with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest generative models, machine learning methods, MLOps deployment methods, and Agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting-edge and forward-focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business value delivery.

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:

Createstatisticalmodels, algorithms,and machine learning techniques to achieve financialobjectives, solvebusinessproblems, andidentifylong term opportunitiesthat improvethe customerjourney

Collaborate and partner with business stakeholders in a way that supportsandsustains a culture that treats analytics as a corporate asset

Partnerwith Actuarial and Data teams tomonitorand manage the End-to-End lifecycle of the rating models and underlying data whichfeedsthem

Lead execution of modeling and machine learning projects that focus on internal team collaboration with Data Scientists, Data Engineers, and Product Owners

Assistinidentifyingand assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage

Contribute to successful implementation ofstrategiesto achieve targeted business objectives

Develop knowledge ofThe Hartford'sformal and informal structures, business processes, and data sources in your area of expertise

Remain current on research techniques and become familiar withstate-of-the-arttoolsin generativeAI

Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions

Learn/bringbest practices to guide the direction of our Data Science and Data Engineering workflows?

Qualifications:

5+ years of relevantindustryexperiencerecommended

Master's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science,Data Science, Computer Science, ora similar analyticalfield;or progress towards a relevant professional designation

Proficiencyin statistical modeling,inference, and building machine learning algorithms in Python

ProficiencyinSQL and navigating databases to extract relevant attributes

Proficiencyin Unix and Git

Proficiencyin the end-to-end modeling lifecycle, from requirements gathering tomonitoringand validation

Experiencebuilding modeling solutions in cloud-native environments, such as SageMaker, a plus

Able to communicate effectively with both technical and non-technical teams

Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution

Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques

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