Data Science Intern

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.