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Data Science Apprentice Jobs in Minnesota (NOW HIRING)

This position is identified as an apprenticeship for individuals who will provide various support ... in criminal justice, police science, or related subjects. Should the Cadet complete their ...

Provide data-driven and evidence-based feedback and coaching to assemblers on scrap. * Perform ... Trade school certification, specialized training/apprenticeship and/or equivalent in Electronics ...

Cadet

Bloomington, MN · On-site

$26.30/hr

This position is identified as an apprenticeship for individuals who will provide various support ... Provide limited amount of filing, data entry, and general clerical support KNOWLEDGE, SKILLS ...

Provide data-driven and evidence-based feedback and coaching to assemblers on scrap. * Perform ... Trade school certification, specialized training/apprenticeship and/or equivalent in Electronics ...

Mold Maker

Chaska, MN · On-site

$101.72/hr

Here at Entegris, we use advanced science to enable technologies that transform the world, and we ... What We Seek:*** 2-year degree in mold making or completion of qualified apprenticeship program*

Mold Maker

Chaska, MN · On-site

$35.50 - $45/hr

Mold Maker Here at Entegris, we use advanced science to enable technologies that transform the ... What We Seek: * 2-year degree in mold making or completion of qualified apprenticeship program

Mold Maker

Chaska, MN · On-site

$35.50 - $45/hr

Mold Maker Here at Entegris, we use advanced science to enable technologies that transform the ... What We Seek: * 2-year degree in mold making or completion of qualified apprenticeship program

Showing results 21-34

Data Science Apprentice information

See Minnesota salary details

$11

$22

$35

How much do data science apprentice jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data science apprentice in Minnesota is $22.34, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $24.71 per hour, depending on experience, location, and employer.

What is a data science apprentice?

A Data Science Apprentice is an entry-level professional who is learning the skills required to become a data scientist, often through a structured apprenticeship program. They work under the guidance of experienced data scientists to gain hands-on experience in analyzing data, building models, and using data science tools and techniques. Apprenticeships typically combine on-the-job training with classroom instruction, allowing apprentices to develop both practical and theoretical knowledge. The goal is to prepare apprentices for a full-time role in data science by the end of the program.

What are the key skills and qualifications needed to thrive as a data science apprentice, and why are they important?

To thrive as a Data Science Apprentice, you need a solid understanding of statistics, programming (often Python or R), and foundational knowledge in data analysis, usually supported by relevant coursework or a degree in a related field. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and machine learning libraries is commonly expected. Curiosity, problem-solving ability, and effective communication help apprentices stand out by enabling them to learn quickly and convey complex findings clearly. Mastering these skills ensures you can contribute to data-driven projects and grow into more advanced roles in the field.

How do data science apprentices typically collaborate with senior data scientists and other departments?

As a Data Science Apprentice, you'll often work closely with senior data scientists through mentorship and project-based tasks. Collaboration usually involves assisting with data cleaning, exploratory analysis, and supporting model development under supervision. You'll also interact with team members from engineering, product, or business departments to understand project goals and present findings. This cross-functional teamwork helps you build both technical and communication skills, preparing you for more independent roles in the future.

What are the most commonly searched types of Data Science jobs in Minnesota?

The most popular types of Data Science jobs in Minnesota are:

What are popular job titles related to Data Science Apprentice jobs in Minnesota?

For Data Science Apprentice jobs in Minnesota, the most frequently searched job titles are:

Infographic showing various Data Science Apprentice job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $46,472 per year, or $22.3 per hour.

Junior Backend Java Developer- Enterprise Payments and Credit Card

Huntington

Minnetonka, MN • On-site

$52K - $101K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 22 days ago


Huntington National Bank rating

8.1

Company rating: 8.1 out of 10

Based on 174 frontline employees who took The Breakroom Quiz

66th of 175 rated banks


Job description

Description

Job Summary:

We are looking for high-capacity individuals that will work under the guidance of our Architect in order to assist us in creating best in class Enterprise APIs and the necessary Production Infrastructure to successfully provide performance, scale and reliability. These individuals might find themselves assisting in the following activities on a daily basis:

  • Developing modern RESTful API’s using Java and Spring Boot, full stack developer, DevOps, CICD, Cloud enabled services (Container, both on prem and in the cloud)
  • Assist with system design / Business Analysis (server layout, availability, disaster recovery planning, production deployments etc.)
  • Assist with software / Data design (Database Schema, Storage considerations, Data Mapping, Data Storage Efficiency, NOSQL Data Considerations, RDMS to NOSQL considerations, Flat file to NOSQL considerations and design related matters, API design including call signature, schema, business logic, data access, resilience, logging, supportability etc.)
  • Assist with software delivery (Hands on – typically, but also in an advisory or architectural role in order to create server architecture, create table layouts, create highly available data resources, create highly recoverable data resources, configure highly performant data sources)
  • Assist with a transition to Kafka – specifically with analyzing proper use cases, detailed Kafka environment setup considerations, enrichment and transformations.
  • Assist with transitioning from a Physical / Virtual Machine environment to one based on cloud run environments and containers.
  • We are looking for innovative, hands-on engineers who are excited about the newest technologies and are committed to embracing the future of software engineering. Responsibilities include implementing API layers and integrating that work into our continuous delivery, continuous integration pipeline.

Responsibilities include:

  • Collaborate with other engineers and architects to create a common API layer between a variety of different data sources and applications via an agile product model working in 2 week sprints.
  • Develop software in an agile environment leveraging DevOps for environment setup, automated builds, continuous deployment, continuous integration and automated testing.
  • Play a key role implementing enterprise services and APIs under the guidance of the architectural team and engineering leadership.
  • Deliver rapid, scalable, and quality solutions that meet business needs. Develop and implement unit test code and automated test scripts as a routine part of development activities.
  • Work closely with other engineers, vendor partners and business owners to ensure that the finished solution meets the needs of the business and our customers.
  • Follow industry standard agile software design methodologies. Embrace new technologies and methods Introduce.
  • Maintain and evolve existing integration assets and systems.
  • Introduce and evolve existing processes and methods required for maturing Huntington’s integration development, implementation and operation of our key platforms.

Basic Qualifications:

  • Bachelor's Degree in Computer Science, MIS, or a related Field
  • 1-3+ year of related experience in software development including creating and maintaining application interfaces between various data sources and applications. Or qualified candidates who successfully complete Huntington’s Technical Youth training or a part of the apprenticeship training program, in lieu of related experience
  • 1+ years of experience with DevOps.
  • 1-3+ years Strong Java development experience including experience with the Spring Framework, Eclipse, Maven and Gradle.
  • 1-3+ years of experience developing application interfaces (API) with Java or similar object-oriented languages.

Preferred Qualifications:

  • Strong experience with the SDLC process.
  • Adept in building team relationships and partnering across organizational lines.
  • Excellent collaboration skills, a positive attitude, high energy, strong interpersonal skills, and highly motivated.
  • Expert in conceptual and analytical skills, demonstrating out-of-the-box problem solving skills.
  • Able to see and articulate patterns and relationships between technologies, processes, business models and people.
  • Self-starter with the ability to appropriately prioritize and plan complex tasks in rapidly changing environment.
  • Thrives in a dynamic work environment, does whatever it takes to deliver successfully, exhibits flexibility, and is recognized as being a strong team player
  • Experience with REST, JSON, or SOAP web interfaces.
  • Experience with Continuous Integration, Continuous Deployment (CICD) methodologies.
  • Experience with Chef, Puppet or other similar deployment automation products.
  • Experience with Git source control management and web interfaces such as GitHub.
  • Experience with Jenkins build management systems and automated testing frameworks such as Junit.


Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds:  in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington will not sponsor applicants for this position for immigration benefits, including but not limited to assisting with obtaining work permission for F-1 students, H-1B professionals, O-1 workers, TN workers, E-3 workers, among other immigration statuses. Applicants must be currently authorized to work in the United States on a full-time basis.

Compensation Range:

$52,000-$101,000 Annual Salary

The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education.  Colleagues in this position are also eligible to participate in an applicable incentive compensation plan.  In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). 


Huntington is an Equal Opportunity Employer.


Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.


Note to Agency Recruiters:  Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume.  All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.



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