Data Science Intern

Posted 4 Days Ago
Be an Early Applicant
2 Locations
In-Office
Internship
Insurance
The Role
Intern will assist the Data Science team with data preparation, modeling, and development of predictive models with mentorship. Tasks include research, data analysis, and building visualizations.
Summary Generated by Built In

Overview: 

If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we’re hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking an Intern to join the Rising Pioneer Program as part of our Data Science team. This internship has a clear Machine Learning Engineering (MLE) emphasis: you’ll work across the ML lifecycle—from data preparation and modeling to packaging a small inference API in dev/staging and setting up basic monitoring—with mentorship from senior team members. 

Over the course of this 10-week program, interns will gain tangible, hands-on experience and insight into our business operations. After 3 days of orientation and training, you’ll join our Data Science team where you’ll be assigned projects, with unlimited opportunity for challenges and achievement. We have, very often, considered our interns for post-graduation roles within the company.  

What you’d be doing: 

  • Learn and network with employees, leaders, and other interns during an on-the-job experience. 
  • Potential to earn college credit. 
  • Research and analysis support on ad-hoc projects.   
  • Fulfill tasks set out by team leaders.   
  • Receive coaching, mentoring and feedback from knowledgeable SageSure professionals. 
  • Assist in data cleaning, transformation, and exploratory analysis to prepare datasets for modeling. 
  • Support the development of predictive models and statistical analyses under the guidance of senior team members. 
  • Conduct research and proof-of-concept projects on emerging methods, tools, or datasets. 
  • Build visualizations and dashboards to communicate findings to technical and non-technical audiences. 
  • Document code, workflows, and results to ensure reproducibility and knowledge sharing. 
  • Collaborate with cross-functional partners across Data & Analytics.  

We’re looking for someone who: 

  • Currently enrolled in a relevant degree program with a focus on Data Science, Statistics, Computer Science, Applied Math, or a related field with an anticipated graduation date in 2026 or 2027. 
  • Strong communication skills, problem solving, and reasoning skills  
  • Ability to multitask and hungry to learn  
  • Ability to work independently and as a team member  
  • Authorization to work in the United States  
  • Proficiency in Python and working knowledge of SQL (R optional). 
  • Exposure to machine learning concepts and libraries (scikit-learn, TensorFlow, PyTorch, etc.) 
  • Strong problem-solving and analytical skills. 
  • Ability to clearly communicate findings through presentations, dashboards, or written reports. 

Highly Preferred Candidates Also Have: 

  • Prior internship experience 
  • GPA of 3.0 or higher 
  • Git/GitHub experience and comfort writing docstrings and simple unit tests. 
  • AI experience or coursework (e.g., applied AI, machine learning, natural language processing, or workplace analytics tools). 
  • Basic cloud concepts (AWS/GCP) for data/ML workflows.

About SageSure:
 
Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020-2023), SageSure is one of the largest managing general underwriters (MGU) focused on catastrophe-exposed markets in the US. Since its founding in 2009, SageSure has experienced exceptional growth while generating underwriting profits for carrier partners through hurricanes, wildfires, and hail. Available in 16 states, SageSure offers more than 50 competitively priced home, flood, earthquake, and commercial products on behalf of its highly rated carrier partners. Today, SageSure manages more than $1.9 billion of inforce premium and helps protect 640,000 policyholders. 
 
SageSure has more than 1000 employees working remotely or in-office across nine offices: Cheshire, Connecticut; Chicago, Illinois; Cincinnati, Ohio; Houston, Texas; Jersey City, New Jersey; Mountain View, California; Marlton, New Jersey; Tallahassee, Florida; and Seattle, Washington.  
 
SageSure offers generous health benefits and perks, including tuition reimbursement, wellness allowance, paid volunteer time off, a matching 401K plan, and more.
 
SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work.
 
Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets. Come join our team! Visit sagesure.com/careers to find a position for you.

Top Skills

AWS
GCP
Git
Python
PyTorch
Scikit-Learn
SQL
TensorFlow
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The Company
HQ: Jersey City, NJ
268 Employees
Year Founded: 2006

What We Do

SageSure is an innovation-focused insurance and technology company specializing in underserved property markets. As the leading homeowners insurtech organization in the U.S. measured by premium and profitability, we offer more than 40 competitively priced insurance products on behalf of our carrier partners, serving 300,000+ policyholders. SageSure partners with a growing network of insurance agents and brokers in 14 coastal states.

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