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Data Scientist Internship Jobs in Racine, WI (NOW HIRING)

Provides guidance and best practice advice to data science interns. * Bachelor's Degree required; Master's degree in Data Science, Computer Science, Software Engineering or similar related field of ...

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Provides guidance and best practice advice to data science interns. Qualifications * Bachelor's Degree required; Master's degree in Data Science, Computer Science, Software Engineering or similar ...

Provides guidance and best practice advice to data science interns. Qualifications * Bachelor's Degree required; Master's degree in Data Science, Computer Science, Software Engineering or similar ...

AI Internships

Wauwatosa, WI · On-site

$21 - $25/hr

We offer: Join the Future Talent Program Internship at Dematic and ignite your career with ... Contribute to ongoing projects and learn from real-world challenges * Assist with research, data ...

We offer: Join the Future Talent Program Internship at Dematic and ignite your career with ... Contribute to ongoing projects and learn from real-world challenges * Assist with research, data ...

AI Internships

Wauwatosa, WI · On-site

$21 - $25/hr

We offer: Join the Future Talent Program Internship at Dematic and ignite your career with ... Contribute to ongoing projects and learn from real-world challenges * Assist with research, data ...

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Showing results 1-20

Data Scientist Internship information

See Racine, WI salary details

$43.1K

$154.7K

$228.3K

How much do data scientist internship jobs pay per year?

As of Jul 1, 2026, the average yearly pay for data scientist internship in Racine, WI is $154,734.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $159,400.00 per year, depending on experience, location, and employer.

What would a data science intern do?

A data science intern assists with data collection, cleaning, and analysis using tools like Python or R. They support the development of models, generate reports, and learn industry-standard techniques under supervision to gain practical experience in data-driven decision making.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as consulting, audit, tax, and advisory, providing valuable experience for aspiring professionals, including data scientists interested in analytics and business intelligence roles within these organizations.

What is the difference between Data Scientist Internship vs Data Analyst Internship?

AspectData Scientist InternshipData Analyst Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Business, or related fields
Work EnvironmentCollaborates on advanced analytics, machine learning models, and predictive analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and industries emphasizing AI and machine learningCommon in marketing, retail, and business intelligence sectors

While both internships involve working with data, Data Scientist Internships focus on building models and advanced analytics, whereas Data Analyst Internships emphasize data reporting and descriptive analysis. The choice depends on your skills and career goals in data roles.

Is 30 an hour good for an internship?

For a Data Scientist Internship, earning $30 an hour is considered above average in many regions, as internships typically pay between minimum wage and $20 per hour. This rate may reflect strong skills in programming, data analysis, and familiarity with tools like Python or R. However, pay standards vary by location and company size, so it's important to compare with local market rates and internship expectations.

What kind of projects and tasks can I expect to work on during a Data Scientist Internship?

As a Data Scientist Intern, you'll typically work on real-world data problems, such as cleaning and analyzing large datasets, developing predictive models, and visualizing insights for stakeholders. You might collaborate closely with data engineers, software developers, and business analysts to support ongoing projects or conduct exploratory data analysis for new initiatives. Interns often have opportunities to present their findings and contribute to decision-making processes, gaining hands-on experience with industry-standard tools and methodologies. The work environment is usually dynamic and supportive, with mentorship from experienced data scientists to help you grow your technical and analytical skills.

What is a Data Scientist Internship?

A Data Scientist Internship is a temporary, entry-level position where students or recent graduates gain hands-on experience working with real-world data. Interns typically assist with data collection, cleaning, analysis, and visualization under the supervision of experienced data scientists. The role helps interns develop technical skills in programming, statistics, and machine learning while contributing to projects that solve business problems. Internships often serve as a stepping stone to a full-time data science career, providing valuable industry exposure and networking opportunities.

What Are the Qualifications to Get a Data Scientist Internship?

To get a data scientist internship, you must either be pursuing a degree in data science, applied math, or computer science or have recently completed a degree in a related area. To qualify for an intern position, you need to have a strong background in math, and you must understand programming languages like Python, Java, and C++. As an intern, you need to be able to follow directions and learn new concepts rapidly. Additional qualifications include excellent grades, strong communication skills, an understanding of algorithms, and extensive knowledge of statistical and predictive modeling concepts.

Which internship is best for data science students?

The best internship for data science students typically offers hands-on experience with data analysis, machine learning, and programming tools like Python or R. Look for programs that provide mentorship, real-world projects, and opportunities to develop skills in data visualization and statistical modeling.

What are the key skills and qualifications needed to thrive as a Data Scientist Intern, and why are they important?

To excel as a Data Scientist Intern, you need a solid grounding in statistics, programming (typically Python or R), and data analysis, often supported by coursework or a degree in a quantitative field. Familiarity with tools like Jupyter Notebooks, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly expected. Strong problem-solving skills, curiosity, and effective communication help interns interpret data and explain insights to diverse audiences. These skills enable interns to contribute meaningfully to projects, bridge technical and business goals, and accelerate their learning in a real-world data science environment.
What are the most commonly searched types of Data Scientist jobs in Racine, WI? The most popular types of Data Scientist jobs in Racine, WI are:
What job categories do people searching Data Scientist Internship jobs in Racine, WI look for? The top searched job categories for Data Scientist Internship jobs in Racine, WI are:
What cities near Racine, WI are hiring for Data Scientist Internship jobs? Cities near Racine, WI with the most Data Scientist Internship job openings:
Data Science Engineer

$77K - $108K/yr

Full-time

Posted 3 days ago


Job description

Foley & Lardner LLP is a great place to work because of what we do and how we do it. Here, your unique perspectives, experiences, and abilities will be embraced and developed, so you can excel. Being a part of Foley means having the opportunities and resources necessary to gain experience, advance professional goals, and forge meaningful connections. It’s a place where you can build your career and enjoy professionally satisfying work. We have over 2,300 people who are #HappyatFoley, and we think you will be too. 

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and Data Science team. The right candidate will be responsible for all aspects of selected data science (including Data Mining, AI, Machine Learning) related Technology initiatives for the firm, from proposal and requirements definition to project planning and implementation, working with both the requesting party and Technology team using a variety of tools. This position requires comprehensive knowledge of formal project skills and will provide a proactive interface between internal clients and the Technology team to ensure effective definition of a delivery of data science initiatives. 


  • Leads and drives the execution of data science projects including predictive modeling, natural language processing.
  • Applies mathematical, problem-solving, and coding skills to manage big data, extracting valuable insights.
  • Uses data mining or extracting tools to find usable data from valuable data sources.
  • Makes use of machine learning tools to select features, create and optimize data classifiers.
  • Performs preprocessing of structured and unstructured data.
  • Assists with Data taxonomy development and maintain our taxonomy for legal data (e.g., taxonomy clean up, SALI Taxonomy implementation). 
  • Collaborates with firm leadership to identify strategic goals related to data utilization and implement data strategy components in collaboration with Business Intelligence.
  • Collaborates with Knowledge Management, Business Intelligence and Competitive Intelligence to identify strategic goals related to legal team data utilization. 
  • Helps to develop strategies for best practices on data science projects.
  • Sets and manages project milestones and dates.
  • Performs other related duties as assigned.
  • Provides guidance and best practice advice to data science interns. 

  • Bachelor's Degree required; Master’s degree in Data Science, Computer Science, Software Engineering or similar related field of study desirable
  • Minimum of one (1) year of relevant technology experience required
  • Working knowledge of software development and scripting languages such as Python, C#, JavaScript, HTML
  • Ability to program un-assisted by LLMs if needed
  • Proficient with prompting and working with LLMs
  • Working knowledge with core Python packages used for machine learning such as Pandas, scikit-learn, PyTorch, MLflow, matplotlib, and numpy
  • Knowledge of developing applied AI applications with packages such as langchain or through custom LLM app pipelines
  • Basic understanding of developing within or integrating with cloud environments such as Azure or AWS
  • Office 365 application proficiency (Outlook, Word, Excel, PowerPoint and Teams) 
  • Experience with data analysis and reporting
  • Experience with Dev Ops
  • Knowledge of SQL and data mining tools 
  • Strong written and verbal communication and customer service skills, along with experience using advanced tools for effective communication 
  • Must be able to work independently and in a team environment to prioritize and perform multiple duties simultaneously while maintaining superior attention to detail, accuracy, and organization 

In support of transparency and equity in the workplace, Foley provides salary ranges for all positions. The figures below represent the full compensation range of this position. The actual offered amount will be between the range minimum and midpoint based on the following factors: education, experience, geographic market, and internal pay equity at Foley.
-Milwaukee - $77,500 to $108,500