Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Data Science Intern - Summer 2027
Hartford, CT
Live, first seen by us 47 days ago- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- New graduates
- For current students
Job title: Data Science Intern - Summer 2027
- Work authorization
- Must already have the right to work in the US
Must be authorized to work in the United States without sponsorship now, or in the futur
What you’ll work on
Full postingPrepare and deliver presentations of data-driven insights and recommendations
Assess new data sources and analytical techniques
Review work with business partners to match expectations
Document work clearly for team knowledge sharing
From the employer’s posting
Prepare and deliver presentations that translate data-driven insights, model results, and recommendations to varying business partners
Assist in identifying and assessing the value of new data sources and analytical techniques
Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations
Document work clearly to ensure effective knowledge sharing within the team
What you’ll bring
All qualificationsCore experience
- Experience in statistical modeling, inference, and building machine learning algorithms using Python
- Strong communication skills for explaining methodologies, visualizations, and recommendations to non-technical audiences and vice versa
Preferred experience
- Understanding of prompt engineering, retrieval-augmented generation (RAG), agent workflow, and LLM evaluation a plus
Qualification wording
Experience in statistical modeling, inference, and building machine learning algorithms using Python
Strong communication skills for explaining methodologies, visualizations, and recommendations to non-technical audiences and vice versa
Understanding of prompt engineering, retrieval-augmented generation (RAG), agent workflow, and LLM evaluation a plus
Education & alternatives
- Must be authorized to work in the United States without sponsorship now, or in the future - Must be working towards a Master’s or Ph.D. in Data Science, Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Computer Science, or a similar analytical field - Experience in statistical modeling, inference, and building machine learning algorithms using Python
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 17, 202647 days ago
- Recorded sightings
- 114
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 47
Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
The Hartford is hiring
23 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
- 9% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- GCP
- SageMaker
Where the posting names them
- Must be working towards a Master’s or Ph.D. in Data Science, Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Computer Science, or a similar analytical field - Experience in statistical modeling, inference, and building machine learning algorithms using Python - Strong communication skills for explaining methodologies, visualizations, and recommendations to non-technical audiences and vice versa
- Understanding of prompt engineering, retrieval-augmented generation (RAG), agent workflow, and LLM evaluation a plus - Exposure to SQL and navigating databases to extract relevant attributes a plus - Exposure to Unix and Git a plus
- Able to maintain organized project notes, version history, and technical documentation for team reference - Exposure to building modeling solutions in cloud-native environments, such as AWS Sagemaker or GCP Agent Platform, a plus - Understanding of prompt engineering, retrieval-augmented generation (RAG), agent workflow, and LLM evaluation a plus
Your next step
Complete your application on thehartford.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
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- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Student Intern - HHSIAN
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 is offering an 11-week Data Science Summer Internship Program beginning in May 2027 designed to prepare you for a challenging and rewarding Data Science career.
As a Data Scientist Intern, you will develop machine learning and artificial intelligence solutions across a range of strategic initiatives. Additionally, you will have opportunities to present to senior Data Science leaders, network across all levels of our Data Science & Analytics community, attend social events, and discussions with leaders via one-on-ones and panels. To accelerate your project work, we also provide on-the-job training in insurance, cloud development environments, and modeling/machine learning techniques as needed.
The Hartford is proud to offer a hybrid work location model that is designed to support flexibility and collaboration, where you will work in an office (CT- Hartford, NC- Charlotte or IL- Chicago) on Tuesday, Wednesday, and Thursday with remote flexibility on Monday and Friday.
Responsibilities:
Assist in creating statistical models, machine learning models, and AI workflows to solve business problems
Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations
Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage
Participate in the creation and deployment of long-term tools to continually evolve the business
Contribute to the successful implementation of strategies to achieve targeted business objectives
Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise
Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function
Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions
Prepare and deliver presentations that translate data-driven insights, model results, and recommendations to varying business partners
Document work clearly to ensure effective knowledge sharing within the team
Requirements:
Must be authorized to work in the United States without sponsorship now, or in the future
Must be working towards a Master’s or Ph.D. in Data Science, Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Computer Science, or a similar analytical field
Experience in statistical modeling, inference, and building machine learning algorithms using Python
Strong communication skills for explaining methodologies, visualizations, and recommendations to non-technical audiences and vice versa
Able to maintain organized project notes, version history, and technical documentation for team reference
Exposure to building modeling solutions in cloud-native environments, such as AWS Sagemaker or GCP Agent Platform, a plus
Understanding of prompt engineering, retrieval-augmented generation (RAG), agent workflow, and LLM evaluation a plus
Exposure to SQL and navigating databases to extract relevant attributes a plus
Exposure to Unix and Git a plus
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:
-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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hartford, CT
As a Data Scientist Intern, you will develop machine learning and artificial intelligence solutions across a range of strategic initiatives. Additionally, you will have opportunities to present to senior Data Science leaders, network across all levels of our Data Science & Analytics community, attend social events, and discussions with leaders via one-on-ones and panels. To accelerate your project work, we also provide on-the-job training in insurance, cloud development environments, and modeling/machine learning techniques as needed. The Hartford is proud to offer a hybrid work location model that is designed to support flexibility and collaboration, where you will work in an office (CT- Hartford, NC- Charlotte or IL- Chicago) on Tuesday, Wednesday, and Thursday with remote flexibility on Monday and Friday. Responsibilities:
- Work authorization
Requirements: - Must be authorized to work in the United States without sponsorship now, or in the future - Must be working towards a Master’s or Ph.D. in Data Science, Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Computer Science, or a similar analytical field