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Internship Recommender Systems Jobs in Minnesota

RN- ACUTE CARE COORDINATOR

Duluth, MN · On-site

$37.64 - $54.56/hr

Acute care hospital internship recommended * Possesses current RN licensure, in the state of ... As part of the broader Aspirus system, St. Luke's is also known for its excellence in orthopedics ...

Applying systems knowledge and skills to recommend process improvements. * Assisting with light CRM ... Have previous related internship experience * Are currently enrolled as an undergraduate junior

IT Intern - Summer 2027

Minneapolis, MN · On-site

$15.75 - $21/hr

Identify and recommend new ways to save money and time by streamlining business processes ... system programs. * Applicants for Medtronic's Summer Internship Program must be currently ...

IT Intern - Summer 2027

Minneapolis, MN

$15.75 - $21/hr

Identify and recommend new ways to save money and time by streamlining business processes ... system programs. * Applicants for Medtronic's Summer Internship Program must be currently ...

IT Intern - Summer 2027

Minneapolis, MN

$15.75 - $21/hr

Identify and recommend new ways to save money and time by streamlining business processes ... system programs. * Applicants for Medtronic's Summer Internship Program must be currently ...

Data Scientist

Saint Paul, MN · On-site

$106 - $127/hr

... internship experience, or equivalent hands-on industry experience may be considered in lieu of ... detection, and recommendation systems * Familiarity with stream processing of real-time data

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

... internship experience, or equivalent hands-on industry experience may be considered in lieu of ... detection, and recommendation systems * Familiarity with stream processing of real-time data

... systems * Analyze and interpret experimental data to identify technical trends and recommend next ... Prior internship or co-op experience with Boston Scientific * Must be eligible to work in the U.S ...

Industrial Engineer

Shakopee, MN · On-site

$82K - $95K/yr

This role will research, recommend, and implement changes to production processes, methods, and ... Internship, co-op, or project experience in manufacturing, distribution, logistics, healthcare, ...

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Internship Recommender Systems information

What is an internship recommender systems?

Internship recommender systems are digital tools or algorithms designed to help students and job seekers find internship opportunities that best match their skills, interests, and qualifications. By analyzing user profiles, preferences, and sometimes even past experiences, these systems suggest internships that are likely to be a good fit. They often use machine learning or artificial intelligence techniques to personalize recommendations and improve the matching process over time. Such systems are widely used by universities, career platforms, and large organizations to streamline the internship search and application process.

What types of projects can I expect to work on during an internship focused on recommender systems?

As an intern working on recommender systems, you’ll typically contribute to projects such as improving recommendation algorithms, analyzing user interaction data, and testing new personalization features. You might also collaborate with data scientists and engineers to prototype and evaluate models, conduct A/B tests to measure recommendation performance, and help refine data pipelines. The work often involves both independent research and teamwork, giving you exposure to a blend of technical implementation and real-world problem-solving in a collaborative environment.

What are the key skills and qualifications needed to thrive as an internship recommender systems engineer, and why are they important?

To excel as an Internship Recommender Systems Engineer, a strong background in computer science, statistics, and machine learning, often supported by relevant coursework or experience, is essential. Familiarity with programming languages like Python, data analysis libraries, machine learning frameworks (such as TensorFlow or PyTorch), and recommendation system algorithms is typically required. Analytical thinking, problem-solving skills, and the ability to collaborate effectively with teams help candidates stand out. These skills are crucial for designing, implementing, and optimizing recommendation systems that deliver accurate and personalized suggestions to users.

What is the difference between Internship Recommender Systems vs Data Analyst?

AspectInternship Recommender SystemsData Analyst
Required CredentialsTypically a background in computer science, data science, or related fields; familiarity with machine learning and recommender algorithmsDegree in statistics, mathematics, or related fields; proficiency in data analysis tools and programming languages
Work EnvironmentTech companies, startups, or online platforms focusing on personalized recommendationsBusiness, finance, healthcare, or marketing sectors analyzing data to inform decisions
Employer & Industry UsageUsed by companies developing recommendation engines for internships or job matching platformsEmployed across various industries to interpret data, generate reports, and support strategic decisions

Internship Recommender Systems focus on developing algorithms to match candidates with internships, requiring technical skills in machine learning. Data Analysts interpret and analyze data to support business decisions, often using statistical tools. While both roles involve working with data, their applications and skill sets differ significantly.

What job categories do people searching Internship Recommender Systems jobs in Minnesota look for?

The top searched job categories for Internship Recommender Systems jobs in Minnesota are:

Infographic showing various Internship Recommender Systems job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Data & Analytics Consulting Internship- Summer 2027

Wipfli Advisory LLC

Minneapolis, MN • Hybrid

Full-time, Temporary, Internship

Re-posted 11 days ago


Job description

Referral Details

We greatly appreciate your referral, and we look forward to reviewing the qualifications of the candidate you've recommended. Here's a brief overview of the process: 

After you've completed this referral form, your recommended candidate will be directed to apply for the specific role through our website. This step is crucial for Wipfli to remain compliant with federal laws and to ensure a fair and transparent selection process. Once their application is received, our Talent Acquisition team will evaluate their qualifications, including how well they align with the requirements of the role and the broader needs of our organization. 

Your referred candidate will remain in our candidate database for future opportunities, offering them additional chances to become part of our team. As the referrer, your role in the recruitment process is to bring potential talent to our attention. We ask that you refrain from discussing updates on the candidate's status, out of respect for their personal consideration. Our Talent Acquisition team will provide you with a final update once the candidate has been informed of their application status. Throughout this process, we may reach out to you with any questions or additional information to ensure a seamless and effective referral experience. 

Thank you for your invaluable contribution to our recruitment efforts, and we sincerely appreciate your understanding and support throughout this process.  Ifyou would like to read more about referral bonus eligibility, please visit InSite: Referral Bonus Program Eligibility 

ResponsibilitiesResponsibilities:  Are you interested in helping companies thrive through innovative thinking, structured problem solving and the implementation of information technology systems?  Consider learning more about the Consulting Practice at Wipfli.  Our consultants work closely with our clients to help them optimize their value streams - the way they deliver value via products and services to their customers.      More specifically consulting interns get involved with our clients in the following project experiences:     - Analysis, design and implementation of Business Intelligence systems, enabling our clients to turn data into meaningful information to better serve critical business decisions - Create compelling dashboards to communicate insights effectively - Utilize tools such as Tableau, Power BI, Qlik and other for data visualization projects - Assist in the collection and organization of datasets from various sources  - Alongside senior mentors assist with client data management needs - Business analysis and project management associated with industry software solutions in Insurance, Health Care, Construction and Manufacturing organizations - Proactively engage in training and learning opportunities to enhance your related skillsKnowledge, Skills and AbilitiesQualifications: - Pursuing an undergraduate degree in Information Systems, Business Administration, Data Science, Business Analytics, or other related field of study - Above average class performance as demonstrated by college GPA; Preferred 3.0 GPA or higher - Strong analytical and problem-solving skills. - Proficiency in data manipulation and analysis using tools like Python, R, or SQL preferred. - Basic knowledge of data visualization tools (e.g., Tableau, Power BI, Qlik) preferred. - Excellent communication and teamwork skills. - Ability to build and foster professional business relationships - Desire to help companies maximize value by leveraging technology and process improvement  - Must be legally authorized to work in the United States on a full-time basis upon hire. Wipfli will not consider candidates for this position who require sponsorship for employment visa status now or in the future (e.g., H-1B status) Damian Kauffman, from our recruiting team, will be guiding you through this process. Visit his LinkedIn page to connect!   #LI-Hybrid #LI-DK1 Hybrid #LI-D  Additional DetailsAdditional Details:    This role requires a hybrid work arrangement.  At Wipfli, hyrbid work is defined as associates regularly working 2-3 days a week in a Wipfli office or at client sites.  The client sites can vary locally, regionally, or nationally depending on the industry alignment. Scheduled meetings at the client and in the office require in-person attendance.   Not fully prepared to apply for an internship or not sure where to start? Please join our Talent Community to explore how you can stay connected to Wipfli.    Wipfli is an equal opportunity/affirmative action employer. All candidates will receive consideration for employment without regards to race, creed, color, religion, national origin, sex, age, marital status, sexual orientation, gender identify, veteran status, disability, or any other characteristics protected by federal, state, or local laws.    Wipfli is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or participate in our recruiting process, please send us an email at hr@wipfli.com     Wipfli values fair, transparent, and competitive compensation, considering each candidate's unique skills and experiences. The estimated base pay rate for this role is $32.00/hour. The actual hourly at the time of offer depends on business related factors like location, skills, experience, training/education, licensure, certifications, business needs, current associate pay, and relevant employment laws.    Wipfli cares about our associates and offers a variety of benefits to support their well-being. Benefit offerings include paid sick leave; access to free, confidential counseling through our Employee Assistance Program.    "Wipfli" is the brand name under which Wipfli LLP and Wipfli Advisory LLC and its respective subsidiary entities provide professional services. Wipfli LLP and Wipfli Advisory LLC (and its respective subsidiary entities) practice in an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable law, regulations, and professional standards. Wipfli LLP is a licensed independent CPA firm that provides attest services to its clients, and Wipfli Advisory LLC provides tax and business consulting services to its clients. Wipfli Advisory LLC and its subsidiary entities are not licensed CPA firms.Employment Type: OTHER