Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for The Hartford. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.
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 a 2025 Data Science Fall Internship Program designed to prepare you for a challenging and rewarding Data Science career.
The Hartford is proud to offer a hybrid work location model that is designed to support flexibility and collaboration. If you live 25 miles from an office location (NC- Charlotte, CT- Hartford, and IL- Chicago), you will work in an office at least 2 days a week (Tuesday/Wednesday, with remote flexibility Monday, Thursday and Friday). If beyond 25 miles from an office, this role can be 100% Remote, with the expectation of some in office presence as business needs dictate.
Responsibilities
- Build and enhance the predictive power of existing models.
- Develop state of the art predictive models that help achieve business targets. Partner with product, underwriting, claims, actuarial and other areas to implement predictive models.
- Evaluate new internal and external data elements and technologies to be included in predictive models.
- Develop and implement new multivariate methodologies to solve practical business problems.
- Build databases to facilitate robust analyses.
- Identify relationships within data sets that can produce meaningful differentiation amongst competitors.
- Provide insight in to leading analytic practices and produce new and creative analytic solutions.
- Find patterns and insights in unstructured data.
- Project management skills to set appropriate timelines.
- Acquire industry knowledge in order to solve business questions.
- Potential for machine learning, optimization analysis, simulations research, geospatial statistics and a growing number of advanced analytic topics.
Requirements
- Must be authorized to work in the United States without sponsorship now, or in the future.
- Must be working towards a master's degree or PhD in quantitative disciplines such as Data Science, Operations Research, Statistics, Business Analytics or other similar degrees.
- Experience with predictive modeling.
- Experience programming with Python or R.
- Experience with Github.
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 (https://www.thehartford.com/about-us) | Our Culture (https://www.thehartford.com/about-us/corporate-culture) | What It's Like to Work Here (https://www.thehartford.com/careers/our-employees) | Perks & Benefits (https://www.thehartford.com/careers/benefits)
Every day, a day to do right.
Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do.
Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?
That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.
And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.
About Us (https://www.thehartford.com/about-us)
Our Culture
What It's Like to Work Here (https://www.thehartford.com/careers/our-employees)
Perks & Benefits (https://www.thehartford.com/careers/benefits)
Legal Notice (https://www.thehartford.com/legal-notice)
Accessibility StatementProducer Compensation (https://www.thehartford.com/producer-compensation)
EEO
Privacy Policy (https://www.thehartford.com/online-privacy-policy)
California Privacy Policy
Your California Privacy Choices (https://www.thehartford.com/data-privacy-opt-out-form)
International Privacy Policy
Canadian Privacy Policy (https://www.thehartford.com/canadian-privacy-policy)
Unincorporated Areas of LA County, CA (Applicant Information)
MA Applicant Notice (https://www.thehartford.com/ma-lie-detector)
If you have questions about this posting, please contact support@lensa.com