Data Science & Analytics Intern - Kalderos
View Company Profile- Job Title
- Data Science & Analytics Intern
- Job Location
- Boston, MA
- Job Description
About Us
At Kalderos, we are building unifying technologies that bring transparency, trust, and equity to the entire healthcare community with a focus on pharmaceutical pricing. Our success is measured when we can empower all of healthcare to focus more on improving the health of people.
That success is driven by Kalderos’ greatest asset, our people. Our team thrives on the problems that we solve, is driven to innovate, and thrives on the feedback of their peers. Our team is passionate about what they do and we are looking for people to join our company and our mission.
That’s where you come in! We’re looking for a Data Science & Analytics Intern to support the Technology Team in Data Science, Analytics, Machine Learning, Artificial Intelligence, and Generative AI. The ideal candidate is eager to learn and naturally curious about technology, data, and healthcare with a desire to gain experience at a high-growth technology company.*This is a paid internship based at the Kalderos office in Boston, MA from June 9th - August 8th, 2025. You will be expected to work 40 hours/week at $25 per hour.
What You'll Do:
- Assist with data exploration, cleaning, and quality checks
- Understand business needs to identify appropriate features
- Build statistical and machine learning models to provide insights
- Share insights via a visualization platform
- Collaborate with other business leaders to incorporate machine learning models into business operations
- Monitor metrics postproduction through data / model drift
- Collaborate with cross-functional teams
- Participate in creative ideation and brainstorming sessions
- Work alongside a talented group of interns across departments with an opportunity for social and volunteer events with the cohort
- Upon completion of your internship, present your project to your fellow intern cohort and leaders across the organization
What You’ll Bring:
- You're a rising junior, senior or recently graduated with a degree in computer science or a related field.
- Programming languages: Python, SQL (required skills)
- Hyperscaler: At least one of AWS, GCP, Azure, Databricks
- Visualization: At least one of PowerBI, Tableau, Looker
- Classical Machine Learning models
- Generative AI: Copilot; Familiarity with at least one of the foundational LLM models
- Experience after building several data science, machine learning, and AI projects and familiarity with various project phases.
What You’ll Get:
- The opportunity to work with industry professionals who are eager to collaborate and share insights
- Project ownership that will have a lasting impact on an organization providing meaningful change in healthcare
- The ability to bring your whole self to work, solving problems together and ensuring all voices are heard
- Opportunity to work on new technologies and learn new skills
- Valuable feedback for your professional growth and development
- Community volunteer opportunities
- WeWork events in Boston to network with our team as well as other companies in the community
To learn more: https://www.kalderos.com/company/culture
We know that job postings can be intimidating, and research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. We encourage you to apply if you think you may be a fit and give us both a chance to find out!
Kalderos is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.
Privacy notice for California job applicants.
Kalderos participates in E-Verify.
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Kalderos Company Size
Between 50 - 200 employees
Kalderos Founded Year
2016
Kalderos Total Amount Raised
$49,929,980
Kalderos Funding Rounds
View funding detailsSeries Unknown
$14,929,980 USD
Series B
$28,000,000 USD
Series A
$7,000,000 USD