Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 2 days ago

Associate Data Scientist, Personal Lines

The Hartford239 open roles

Pay
$81,040 – $121,560 a year
Where
Charlotte NC
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowAssociate Data Scientist, Personal LinesThe Hartford · Charlotte NC

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on The Hartford's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. The Hartford postings stay open a median of 16 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 2 days ago

The Hartford median: 16 days open

The posting

Assoc Data Scientist - GD08BE

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 an energetic and passionate Associate Data Scientist 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.

In this role, you will contribute across the full model lifecycle, from data exploration and feature engineering through model development, validation, implementation, and monitoring. Generalized linear models are a core component of our work, alongside machine learning techniques such as gradient boosted trees and modern MLOps practices. You will also help improve the tools, workflows, and standards that enable the team to support a broad and evolving portfolio of models.

Responsibilities:

  • Develop and evaluate predictive modeling solutions that support the personal auto class plan, unconstrained loss models, and customer demand models.
  • Evaluate 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 the broader data science community.
  • Ensure analytic reproducibility, conduct code reviews, and maintain git hygiene.
  • Share results with partners and make recommendations based on outcomes.

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).

Experiences & Skills:

  • Master's degree in Statistics, Data Science, Mathematics, Actuarial Science, Economics, Engineering, Physics, or similar analytical field.
  • Experience in the insurance industry, particularly in loss cost modeling or personal insurance products, is a plus but not required. Candidates with relevant modeling experience from other industries are encouraged to apply.
  • 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.
  • Strong interest in 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:

$81,040 - $121,560

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

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against The Hartford's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on The Hartford's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    The Hartford's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.