Data Scientist Work/Study Apprentice Program

Sorry, this job was removed at 02:20 p.m. (CST) on Thursday, Jan 22, 2026
Hiring Remotely in United States
Remote
Edtech • Software • Design
The Role

About Flatiron School

As a leader in the tech industry, Flatiron School believes that education is the best investment you can make in your future. We’re committed to helping change lives and the world for the better. Our courses provide an immersive, outcomes-driven curriculum for students looking to launch a career in Software Engineering, Cybersecurity, Data Science, Artificial Intelligence and Game Design. In addition to student programs, we also offer targeted education solutions for organizations.


About the Opportunity

Flatiron School is offering an apprenticeship opportunity for early-career data analysts to earn income while learning. Apprentices will enroll in the Data Science & AI part-time bootcamp and be matched with one of our employer partners for a paid apprenticeship throughout the duration of your course. We are accepting applications on an ongoing basis, as we plan to launch a new cohort of 16 apprentices at the start of each month.


This is a unique opportunity to develop skills in data science while gaining hands-on industry experience. As an apprentice, you’ll contribute to software products, collaborate with experienced data scientists, and build your portfolio. At the same time, you’ll deepen your understanding of data and machine learning to become a more versatile Data Scientist.


This is a full-time opportunity, 40 hours/week (20 hours course work and 20 hours apprentice work), for a 14-month program. The apprenticeship earnings will cover the tuition cost of the bootcamp.


What You'll Do

  • Attend and complete the part-time Flatiron School Data Science Bootcamp 
  • Work as an apprentice Data Scientist for your host company
  • Focus on systems that incorporate data, ML, and AI-driven workflows
  • Apply data and machine learning concepts within real product constraints
  • Build a portfolio of work
  • Receive ongoing mentorship from experienced data scientists 


What You'll Learn

  • How data science, machine learning, and engineering intersect
  • How AI-enabled products are designed, built, and shipped in real organizations
  • Practical Agile workflows in a collaborative environment
  • How to apply data thinking to real-world problems
  • How to build, manipulate, and query large data sets


What We're Looking For

Requirements:

  • Must be currently living in the U.S. 
  • Must be authorized to work in the U.S. We do not offer any kind of visa sponsorship or transfers at this time - including H-1B, STEM OPT, and F-1.
  • Must be available to commit 40 hours/week for 14 months to complete a part-time bootcamp and for apprenticeship work 
  • Have a degree in Data Analytics, Mathematics, or Economics (or similar) and/or have completed a data analytics or data science bootcamp
  • Successfully complete the Flatiron School Aptitude Assessment


Preferred Skills:

  • Basic proficiency in Python
  • Working knowledge of databases (SQL or NoSQL) and how to query or integrate them
  • Curiosity about AI processes and systems, such an NLP and LLMs
  • Strong communication and collaboration skills
  • Accountability in managing time and meeting small milestones
  • Curiosity, initiative, and a strong desire to grow into a multidisciplinary data scientist


Compensation & Commitments

  • Hourly Pay: $20/hour for 20 hours/week, paid through an employer partner
  • Education: $11,900 tuition paid via a monthly payment plan
  • Time Commitment: 40 hours/week total (work and education combined)
  • Duration: 14 months

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The Company
HQ: New York, NY
717 Employees
Year Founded: 2012

What We Do

Flatiron School trains passionate, creative people so they can launch a new career in code, data science, or cybersecurity. It’s our goal to show students that programming is more than the mechanics of writing code or a route to a fulfilling career. It’s a collaborative endeavor that can help them find work they love.

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