Data Science Intern - Summer 2027

Posted 4 Hours Ago
Be an Early Applicant
3 Locations
In-Office
Internship
Fintech • Payments • Financial Services
The Role
An 11-week hybrid summer internship developing statistical, machine learning, and AI solutions for insurance business problems. The intern will assess data sources, build and deploy analytical tools, support business strategies, present insights to technical and non-technical stakeholders, document work, and gain experience with cloud environments, modeling techniques, and emerging AI workflows.
Summary Generated by Built In
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:

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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

Skills Required

  • Must be authorized to work in the United States without sponsorship now or in the future.
  • Must be pursuing a Master's or Ph.D. in Data Science, Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Computer Science, or a similar analytical field.
  • Experience with statistical modeling and inference.
  • Experience building machine learning algorithms using Python.
  • Strong communication skills for explaining methodologies, visualizations, and recommendations to non-technical audiences and vice versa.
  • Ability to maintain organized project notes, version history, and technical documentation.
  • Exposure to building modeling solutions in cloud-native environments such as AWS SageMaker or GCP Agent Platform.
  • Understanding of prompt engineering, retrieval-augmented generation, agent workflows, and LLM evaluation.
  • Exposure to SQL and navigating databases to extract relevant attributes.
  • Exposure to Unix and Git.

The Hartford Financial Services Group, Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Hartford Financial Services Group, Inc. and has not been reviewed or approved by The Hartford Financial Services Group, Inc..

  • Retirement Support A 401(k) with matching plus an additional company contribution, alongside an employee stock purchase plan and no‑cost financial planning, signals robust long‑term savings support. HSAs/FSAs and related financial tools further strengthen overall financial well‑being.
  • Leave & Time Off Breadth At least 25 days of PTO to start, options to buy or roll over time, and paid parental leave indicate broad time‑off support. Paid leave for organ and bone marrow donation and generous disability coverage extend protection for significant life events.
  • Healthcare Strength Multiple medical, dental, and vision options with the company covering most medical and dental premiums reflect strong core health coverage. Wellness programs, fitness reimbursements, well‑being credits, and accessible behavioral health services expand depth and accessibility.

The Hartford Financial Services Group, Inc. Insights

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The Company
HQ: Hartford, Connecticut
20,002 Employees
Year Founded: 1810

What We Do

Human achievement is at the heart of what we do. We put our belief into action by not only ensuring individuals and businesses are well protected, but by going even further – making an impact in ways that go beyond an insurance policy

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