Job description

Turn your classroom learning into real-world impact with H&R Block’s Embark 2027 Summer Internship Program, open to students studying Computer/Data Science, Machine Learning, or Applied/Computational Mathematics . This 11-week paid internship offers meaningful, real-world experience that aligns with your field of study while making a valuable impact on our organization. The Embark 2027 Summer Internship runs from May 17, 2027 – July 30, 2027. You’ll work at our corporate headquarters in the heart of downtown Kansas City’s Power & Light District, where you’re just steps, or a streetcar ride, away from incredible restaurants, entertainment, and city energy. Inside our building, you’ll have access to amenities that make work-life balance easy, including an onsite Starbucks, a company dining hall with plenty of options, a free fitness center, and free parking! Program Highlights: • $25/hour compensation • Paid PTO during H&R Block’s annual Reboot Week (June 28 – July 2) • Housing stipend provided for students whose permanent address is more than 50 miles from the KC metro Throughout the 11-week internship, under the guidance of a leader, some of the internship responsibilities will include: • Design, build, and deploy machine learning models, including generative AI models, to address complex business problems. • Clean, prepare, and analyze data for machine learning projects • Tune and optimize models for accuracy, efficiency, and scalability in production environments. • Collaborate with AI/ML and engineering teams to support model integration, deployment, and monitoring • Explore emerging machine learning, deep learning, and Generative AI technologies • Participate in code reviews, technical discussions, and collaborative problem-solving • Document findings, share learnings, and present project outcomes and recommendations Throughout the 11-week internship, as a part of the Embark program, interns will also participate in workshops and events that align with the program's four pillars: Professional Development : includes the basics for a professional role, everything from using Microsoft Office to setting up a Teams meeting and giving a presentation. Giveback : involves participating in Make Every Block Better community service events. The goal is to teach the importance of community, make an impact, and provide bonding time for teams. Networking : entails meeting various executives with offices at H&R Block’s headquarters, having lunch with directors and vice presidents, spending time with a mentor and getting to know people beyond their assigned department. Connected Culture : is meant to be fun and teach the importance of working hard and playing hard. H&R Block might take the interns to a Kansas City Royals game or facilitate other competitions meant to be fun or instill teamwork. Education: • High school diploma or equivalent • Seeking to obtain a degree in Information Computer/Data Science, Machine Learning, Applied/Computational Mathematics , or some similar discipline with a GPA of 3.0 or above • Ability to work as part of a diverse team and independently • Highly motivated, organized, reliable, and detail-oriented • Strong written and verbal communication skills • Quick learner and not afraid to work with new computer-based programs and databases • Ability to be effective and contribute in a fast-paced corporate environment Work Experience: • No previous work experience necessary • Understanding of machine learning fundamentals, including model training, testing, evaluation, and optimization • Exposure to ML frameworks or libraries such as PyTorch, TensorFlow, scikit-learn, or similar tools • Familiarity with Python and machine learning fundamentals • Exposure to PyTorch, TensorFlow, scikit-learn, or similar ML frameworks • Familiarity with SQL, data analysis, and data preparation • Exposure to Microsoft Azure, Azure Machine Learning, or other cloud-based AI/ML technologies • Interest in Generative AI, LLMs, embeddings, vector search, and AI agents • Coursework or project experience involving AI, machine learning, data science, or Generative AI is a plus At H&R Block, our purpose is simple: to provide help and inspire confidence in our clients and communities everywhere. For more than 70 years, we’ve led the tax industry and we continue to evolve through our Block Next strategy, blending human expertise with digital innovation. That same commitment to care extends to our associates. When you join us, you become part of a High Performing, Connected Culture built on strong relationships, continuous learning, and a shared commitment to making a meaningful impact. We invest in your well-being through competitive pay, comprehensive benefits, and support for life both in and outside of work.

Requirements

Must-haves

The Embark 2027 Summer Internship runs from May 17, 2027 – July 30, 2027.
$25/hour compensation
Paid PTO during H&R Block’s annual Reboot Week (June 28 – July 2)
Housing stipend provided for students whose permanent address is more than 50 miles from the KC metro
Throughout the 11-week internship, under the guidance of a leader, some of the internship responsibilities will include:
Design, build, and deploy machine learning models, including generative AI models, to address complex business problems.
Clean, prepare, and analyze data for machine learning projects
Tune and optimize models for accuracy, efficiency, and scalability in production environments.
Collaborate with AI/ML and engineering teams to support model integration, deployment, and monitoring
Explore emerging machine learning, deep learning, and Generative AI technologies
Participate in code reviews, technical discussions, and collaborative problem-solving
Document findings, share learnings, and present project outcomes and recommendations
Throughout the 11-week internship, as a part of the Embark program, interns will also participate in workshops and events that align with the program's four pillars:
Professional Development : includes the basics for a professional role, everything from using Microsoft Office to setting up a Teams meeting and giving a presentation.
Giveback : involves participating in Make Every Block Better community service events. The goal is to teach the importance of community, make an impact, and provide bonding time for teams.
High school diploma or equivalent
Seeking to obtain a degree in Information Computer/Data Science, Machine Learning, Applied/Computational Mathematics , or some similar discipline with a GPA of 3.0 or above
Ability to work as part of a diverse team and independently
Highly motivated, organized, reliable, and detail-oriented
Strong written and verbal communication skills
Quick learner and not afraid to work with new computer-based programs and databases
Ability to be effective and contribute in a fast-paced corporate environment
No previous work experience necessary

Nice-to-haves

Coursework or project experience involving AI, machine learning, data science, or Generative AI is a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaimlpythonsqlazure

Platform: icims
Effort: medium

Benefits

Benefits detected in the listing.

Pto

Professional Development