Director of Data Science, Actuarial Modeling

The Hartford

Hybrid

Quick summary

Work type: Hybrid
Location: Hartford, CT · Charlotte, NC · Chicago, IL
Salary: $138,000–$207,000 / yr
Posted: 2 days ago
Nearby: 78 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $170k

This role $172k

$100k most similar roles pay here $234k

This role pays more than 57% of similar roles. Most pay $135,000–$204,300 — the shaded band above. At the midpoint, this role pays about $172k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

About The Hartford

The Hartford is a leading provider of property and casualty insurance, group benefits, and mutual funds, serving businesses and individuals across the United States. Industry: Insurance & Financial Services

The Hartford currently has 52 open roles on FindRole.

Listed pay typically runs $128,800–$193,200 across 52 roles with salary data.

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View all roles at The Hartford

At a glance

TL;DR · Director of Data Science, Actuarial Modeling

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The Hartford seeks a Director & Data Scientist within Employee Benefits to develop statistical and machine learning solutions supporting actuarial pricing and reserving modeling. This hands-on technical expert will contribute across the full model lifecycle by partnering with actuarial, business, and engineering stakeholders to translate strategies into robust, scalable solutions. Key responsibilities include designing advanced analytics models using modern technologies like Python and SQL, managing the end-to-end lifecycle of rating models for Long-Term Disability, Short-Term Disability, and Life plans, and leading cross-functional projects that enhance actuarial modeling. The ideal candidate has 8+ years of experience in actuarial modeling with a strong background in statistical inference and machine learning algorithms, proficiency in Python, SQL, Unix, Git, and cloud-native environments like Sagemaker, and the ability to communicate complex technical topics effectively across teams.

Skills

Python SQL Git Unix Sagemaker Machine Learning Statistical Modeling MLOps Agile Actuarial Modeling Cloud-Native Environments Data Science Data Engineering Terraform CI/CD

What you'll do

Develop and maintain rating models for Employee Benefits plans.
Lead cross-functional projects using statistical models and machine learning.
Continuously partner with Actuarial and Data teams to manage model lifecycle.
Advance department capabilities by creating long-term data science tools.
Remain current on research techniques and state-of-the-art analytical tools.
Develop strategies to achieve targeted business objectives and implement them.

What we're looking for

8+ years of relevant experience in data science or related field.
Master’s or Ph.D. in Statistics, Applied Mathematics, Actuarial Science, Data Science, Computer Science, or similar analytical field.
Expertise in actuarial modeling and Employee Benefits pricing.
Proficiency in Python for statistical modeling and machine learning.
Experience with SQL, Unix, Git, and cloud-native environments like Sagemaker.
Strong communication skills to bridge technical and non-technical teams.
Ability to lead projects and drive change through quantitative techniques.

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