1

Director Data Analyst Machine Learning Jobs in Hartford, CT

Director of Data Science

Hartford, CT · On-site +1

$153.20K - $229.80K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... machine learning, and actuarial analytics in either personal auto, or both personal auto and ...

Guides students through data preprocessing, feature selection, building and comparing ... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ...

Data Analyst

Hartford, CT · On-site

$70 - $80/hr

... directing, and checking the work of Business Data Analysts within their group. • Acts as a change leader to help and drive the implementation of industry best practices. Provides support and ...

High-visibility role with direct client impact * Blend of analytics, strategy, and client interaction * Opportunity to influence real business decisions through data * Collaborative team environment ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Sr AI Machine Learning Engineer

Hartford, CT · On-site

$117.20K - $175.80K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... e. value of new data sources and analytical techniques and technology, to ensure ongoing ...

next page

Showing results 1-20

Director Data Analyst Machine Learning information

See Hartford, CT salary details

$34.3K

$83.4K

$137.2K

How much do director data analyst machine learning jobs pay per year?

As of May 28, 2026, the average yearly pay for director data analyst machine learning in Hartford, CT is $83,360.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $97,800.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are popular job titles related to Director Data Analyst Machine Learning jobs in Hartford, CT? For Director Data Analyst Machine Learning jobs in Hartford, CT, the most frequently searched job titles are:
What job categories do people searching Director Data Analyst Machine Learning jobs in Hartford, CT look for? The top searched job categories for Director Data Analyst Machine Learning jobs in Hartford, CT are:
What cities near Hartford, CT are hiring for Director Data Analyst Machine Learning jobs? Cities near Hartford, CT with the most Director Data Analyst Machine Learning job openings:
Director of Data Science, Actuarial Modeling

Director of Data Science, Actuarial Modeling

The Hartford

Hartford, CT • On-site

$138K - $207K/yr

Full-time

Posted 19 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

53rd of 258 rated insurance


Job description

Dir & Data Scientist - GD06BE

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 Hartfordseeks a Director & Data Scientist withinEmployee Benefitsto develop statistical and machine learning solutionssupporting actuarial pricing and reserving modeling.

In this role, you will be a hands-on technical expert contributing across the full model lifecycle-partnering closely with actuarial, business, and engineering stakeholders to understand business strategies and translate them into robust, scalable modeling solutions. You will design, develop, implement, and evolve advanced analytics and machine learning models using modern technologies, MLOps practices, and Agile delivery frameworks.

This cutting-edge, forward-focused organization offers the opportunity to work autonomously on high-impact problems, influence technical and analytical decisions, collaborate deeply with crossfunctional partners, and gain strong visibility as we focus on continuous, value-driven data and model 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:

  • Develop, test,validate, andmaintainaportfolioof rating modelsfor theEmployee Benefits class plans inLong-TermDisability, Short-Term Disability, and Life

  • Continuouslypartner with Actuarial and Data teams tomonitorand manage the End-to-End lifecycle of the rating models and underlying data which feeds them

  • Lead cross-functional projects that include the creation of statistical models and machine learning techniques to achieve financialobjectives, solve business problems, andidentifylong-term opportunities thatenhance actuarial modeling.

  • Collaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset.

  • Advance the department's capabilities by creating and deploying long-term tools to continually evolve the practice of data science, with an ability to see the end-to-end solution.

  • Develop strategies to achieve targeted businessobjectives. Implement these strategies and follow through to successfulconclusion.

  • Remain current on research techniques and become familiar withstate-of-the-arttools applicable to your function.

  • Participate in the talent management process for hiring, onboarding,trainingand development of staff.

  • Collaborate with your leader to providetimelyfeedback on development and opportunities for your team.

  • Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows.

Qualifications:

  • 8+ years of relevant experience recommended

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

  • Expertiseinactuarialmodeling;experience in EmployeeBenefits pricing is a plus.

  • Experience with mentoring Data Scientists and providing guidance through model development

  • Expertisein statistical modeling, inference, and building machine learning algorithms in Python

  • Expertisein SQL and navigating databases to extract relevant attributes

  • Expertisein Unix and Git

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

  • Experience building modeling solutions in cloud-native environments, such asSagemaker, 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:

$138,000 - $207,000

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

About Us|Our Culture|What It's Like to Work Here|Perks & Benefits


What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

Social media