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Internship Data Science R Jobs in Sturtevant, WI

JobRx, Inc.

Medical Science Liaison

Milwaukee, WI · On-site

$175 - $188/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You'll contribute cutting-edge clinical and scientific data to help move healthcare forward and ... W o r k H e r e M a t t e r s E v e r y w h e r e | How are you inspired to change lives? Syneos ...

New

Syneos Health, Inc.

Medical Science Liaison

Milwaukee, WI · On-site

$175 - $188/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You'll contribute cutting-edge clinical and scientific data to help move healthcare forward and ... W o r k H e r e M a t t e r s E v e r y w h e r e | How are you inspired to change lives? Syneos ...

Pwc

CTIO - AI Engineer- Senior Manager

Milwaukee, WI · On-site

$91K - $321K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics ...

New

Directsupply

Senior Supply Chain Analyst

Milwaukee, WI · On-site

$77K - $95K/yr

Advanced degree or professional certification in analytics, data science, supply chain, or a related field. * Experience with Python, R, or other statistical programming languages. * Experience ...

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Internship Data Science R information

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How much do internship data science r jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for internship data science r in Sturtevant, WI is $21.77, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $23.70 per hour, depending on experience, location, and employer.

What is an internship data science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

What types of projects can I expect to work on during an internship data science R?

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

What are the key skills and qualifications needed to thrive as an internship data science R, and why are they important?

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.

What is the difference between Internship Data Science R vs Data Analyst Intern?

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

Internship Data Science R jobs near you

Public Investments Quantitative Analyst Intern, Summer 2027

Northwestern Mutual Life Insurance Company

Milwaukee, WI • On-site

$30/hr

Full-time

Posted 8 days ago

Northwestern Mutual rating

8.0

Company rating: 8.0 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

166th of 310 rated insurance

Job description

Public Investments - Quantitative Analyst Internship (undergraduate-level)
Job Description
Northwestern Mutual's Public Investment Department seeks a Quantitative Analyst Intern to join us for the summer of 2027 and play a pivotal role in building out tools and conducting analyses that help shape our investment processes. We manage over $130 billion in fixed income assets, and you will collaborate directly with Portfolio Managers, Traders, and Credit Analysts to develop cutting-edge solutions.
Principal Responsibilities:
You'll have the opportunity to leverage your unique strengths and interests within a flexible role that spans data, modeling, visualization, and applications. Your activities will center around driving investment performance through innovative improvements to our investment processes, such as relative value analysis, portfolio construction, trading tools, risk measurement, and more.
  • Build & maintain data models: Collaborate with data engineers to onboard new data sources, design and implement dbt SQL models for data cleaning and integration, and write robust data quality tests to ensure data integrity.
  • Develop interactive data visualizations: Create insightful dashboards and applications using Tableau and Streamlit to effectively communicate data and model outputs to the department's investment professionals.
  • Design and implement machine learning models: Utilize machine learning and AI techniques to develop predictive models, optimize model parameters, research new signals, and deploy models into the Snowflake production environment.
  • Apply quantitative methods: Leverage quantitative methods such as portfolio optimization, Monte Carlo simulation, risk measurement, and backtesting to enhance various aspects of the investment process.
  • Collaborate effectively: Work closely with Portfolio Managers, Traders, and Credit Analysts to better identify attractive investment opportunities through efficient data delivery, advanced models, and intuitive dashboards.

Job Requirements:
  • Progress towards a Bachelor's degree in a quantitative field (e.g., Quantitative Finance, Computer/Data Science, Finance, Mathematics).
  • Strong development skills in languages such as SQL, Python, Streamlit, dbt, etc.
  • Excellent data manipulation and data visualization skills.
  • Experience with software development practices such as version control and CI/CD pipelines is preferred.
  • Experience using Bloomberg and BlackRock Aladdin is a plus.

Interpersonal Skills
  • Passion for the art and science of investing.
  • Effective oral and written communication skills.
  • Demonstrated analytical and problem-solving ability.
  • High degree of self-motivation, passion, and a drive to learn.

About the Internship Program
Internship candidates can expect a fulltime onsite internship program, running from June 2027 to August 2027. Carefully selected from universities across the country, our interns bring distinctive ideas and perspectives to our organization. Our employees are passionate about building our emerging talent and future leaders. In addition to their day-to-day tasks, interns participate in professional development workshops, senior leadership Q&A's, volunteer initiatives, networking/social events, and more!
About the Public Investment Department
Northwestern Mutual's Public Investments Department manages over $130 billion in investment grade and high yield fixed income assets backing NM's General Account insurance products and retirement plan assets, and oversees about half of the company's total General Account assets. The team actively manages these assets with a goal of generating long-run total returns in excess of benchmarks to drive policyholder value. This role will be within the Quantitative Research & Analytics team.
Compensation Range:
Pay Range - Start:
$16.50
Pay Range - End:
$30.00
We believe in fairness and transparency. It's why we share the salary range for most of our roles. Internship salaries are determined based on academic tenure and major. The standard pay structure is listed.
Build a strong career foundation with a best-in-class company that puts our clients' interests at the center of all we do. Get started now!
Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.

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About Northwestern Mutual

Sourced by ZipRecruiter

Northwestern Mutual has been helping families and businesses achieve financial security for over 160 years through a distinctive planning approach that integrates risk management with wealth accumulation, preservation, and distribution. With more than $290 billion in assets, $30 billion in revenues and more than $1.9 trillion worth of life insurance protection in force, Northwestern Mutual delivers financial security to more than 4.6 million clients. People are the power behind Northwestern Mutual, and diversity makes us better. We are committed to reflecting and serving the marketplace. We do so by attracting and improving the engagement of those who bring their outstanding perspectives, ideas, and beliefs.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US

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