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2025 Data Science Intern Jobs (NOW HIRING)

Role Overview The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and ...

Role Overview The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and ...

As a Data Science Intern in our New York-based Data Lab, you will work at the forefront of the digital transformation of education data, supporting the development of innovative, data-driven ...

What You'll Be Part Of An iSpot Research Data Science Intern is a great opportunity to help iSpot push the boundaries on what is measurable in the TV viewing and advertising space. The Research Data ...

As a Data Scientist Intern, you'll dig into the data to uncover insights, identify opportunities for product improvements and new product development, define product metrics with goals, design ...

Data Science Intern

Chicago, IL · On-site

$1.2K/wk

What you'll do as a Data Science Intern at Rundoo * Analyze data on product, sales and GTM hypotheses. * Translate product, sales and GTM requests into data problems & execute on them. * Build ...

What You'll Be Part Of An iSpot Research Data Science Intern is a great opportunity to help iSpot push the boundaries on what is measurable in the TV viewing and advertising space. The Research Data ...

What You'll Be Part Of An iSpot Research Data Science Intern is a great opportunity to help iSpot push the boundaries on what is measurable in the TV viewing and advertising space. The Research Data ...

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

A passion for applying mathematical models and computer science technology to data-driven decision-making, along with profound insights into the gaming industry. * Expertise in mathematical modeling ...

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

A passion for applying mathematical models and computer science technology to data-driven decision-making, along with profound insights into the gaming industry. * Expertise in mathematical modeling ...

We are looking for a motivated Data Science Intern to join our team. This role offers hands-on experience working with real-world data, building models, and supporting data-driven decision-making.

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2025 Data Science Intern information

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How much do 2025 data science intern jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for 2025 data science intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What types of projects or tasks can a 2025 Data Science Intern expect to work on during their internship?

As a 2025 Data Science Intern, you can expect to work on a variety of projects that may include data cleaning, exploratory data analysis, building predictive models, and helping visualize insights for business stakeholders. Interns often collaborate with experienced data scientists and cross-functional teams such as engineering, product, and business analytics. You may also have opportunities to present your findings and contribute to ongoing research or product development. The exact tasks may vary depending on the team's focus, but you'll gain hands-on experience with real-world datasets and industry-standard tools.

What does a 2025 Data Science Intern do?

A 2025 Data Science Intern assists data science teams by analyzing large datasets, building statistical models, and helping to extract insights that inform business decisions. Interns often work with programming languages like Python or R and use tools such as SQL and data visualization software. They may also help prepare reports, clean data, and contribute to ongoing projects under the supervision of experienced data scientists. The internship provides valuable hands-on experience and helps interns develop technical and analytical skills relevant to a career in data science.

What is the difference between 2025 Data Science Intern vs Data Analyst Intern?

Aspect2025 Data Science InternData Analyst Intern
Required SkillsBasic programming, statistics, data manipulation, machine learning fundamentalsData visualization, SQL, Excel, basic statistics
Work EnvironmentCollaborative teams, research projects, experimental data analysisBusiness-focused, reporting, dashboard creation
Typical EmployersTech companies, startups, research institutionsFinance, marketing, consulting firms

The 2025 Data Science Intern role focuses on developing machine learning models and advanced data analysis skills, often in research or tech environments. In contrast, a Data Analyst Intern primarily handles data visualization, reporting, and business insights. Both roles require foundational data skills, but the Data Science Intern position emphasizes programming and statistical modeling, making it more technical and research-oriented.

What are the key skills and qualifications needed to thrive as a 2025 Data Science Intern, and why are they important?

To thrive as a 2025 Data Science Intern, you need a solid foundation in statistics, data analysis, and programming languages such as Python or R, typically gained through coursework or relevant projects. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn), and version control systems (like Git) is often expected. Strong problem-solving skills, curiosity, and effective communication help interns interpret data and collaborate within multidisciplinary teams. These skills ensure interns can contribute meaningful insights, adapt to evolving project needs, and support data-driven decision-making.
More about 2025 Data Science Intern jobs
What cities are hiring for 2025 Data Science Intern jobs? Cities with the most 2025 Data Science Intern job openings:
What are the most commonly searched types of 2025 Data Science jobs? The most popular types of 2025 Data Science jobs are:
What states have the most 2025 Data Science Intern jobs? States with the most job openings for 2025 Data Science Intern jobs include:
Infographic showing various 2025 Data Science Intern job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Job description

ROLE OVERVIEW
As a Data Science Intern with MSF-USA's Workforce Intelligence & Strategy Unit, you'll play an active role in transforming complex workforce data into clear, actionable insights that support evidence-based decision-making across the organization. You'll work closely with analysts and data scientists to strengthen our reporting and visualization capabilities in Power BI, helping us better understand and plan for our workforce needs.

DEPARTMENT ACCOUNTABILITIES 
Organizational Culture & Create a Safe Space 
Set and drive transparent goals, targets and ADEI&B initiatives that yield the most significant, scalable, quantifiable, and sustained impact for a more human-centered, engaged, and productive workplace.; building a culture that fosters trust, collaboration high performance, respect, and belonging  among diverse  teams and peoples. 
Performance Management & Talent Development-  
Develop and implement policies and processes that provide an integrated, structured approach to individual development planning, performance goal setting, performance feedback, and formal appraisal to meet business needs and to support individuals in realizing their potential. The review is done one time per year after which decisions are taken on whether the employee's pay should be changed or increased. 
Employee Engagement  
Create a workplace culture that is engaging and motivating for employees. This involves creating opportunities for employees to connect with each other, providing professional development opportunities, and creating a positive work environment. 
Compliance and HR Operations 
Execute and manage P&C operations using predetermined protocols and procedures to achieve specified operational performance standards. 
Compensation & Benefits Review 
Designed and administered compensation and benefits packages for staff. This includes setting salaries, providing health insurance and other benefits and managing payroll..  
Talent Acquisitions  
Fill permanent or temporary positions within an organization by attracting, shortlisting, selecting, hiring, appointing, and integrating the best-qualified candidates in a timely and cost-effective manner. 
Payroll Administration 
Carry out the payroll administration processes required to ensure that employees are paid correctly at the right time. 

ROLES SPECIFIC OUTCOMES

By the end of the internship, the Data Science Intern will have:

  • Designed and delivered at least one interactive Power BI dashboard that visualizes key workforce metrics and trends.
  • Improved data reliability and consistency by identifying and resolving data quality issues across multiple sources (e.g., HRIS, recruitment, and survey data).
  • Developed and documented data models and DAX measures to support automated reporting and self-service analytics.
  • Produced clear visual and written summaries that connect data findings to actionable recommendations for People & Culture leadership.
  • Streamlined or documented data transformation and refresh processes for recurring Power BI reports.
  • Gained hands-on experience with data governance, visualization design, and applied workforce analytics in a complex, mission-driven environment.

COMPLEXITY AND PROBLEM-SOLVING SKILLS

The intern will work with complex, multi-source workforce datasets that require a strong analytical mindset and attention to detail. The role involves identifying and resolving data quality issues, designing data models that balance accuracy with usability, and translating technical findings into clear, actionable insights. The intern must be able to troubleshoot data and visualization challenges independently, think critically about underlying data structures and business questions, and propose creative solutions to improve reporting efficiency and impact.

BEHAVIORAL COMPETENCIES 
THOUGHT: How MSF USA staff understand the organization, manage complexity, and contribute by creating the new and different.

People Focus
Builds strong relationships and delivers solutions geared to aiding others. Solicits feedback and data; conveys a clear understanding of the level of service the team is providing; takes action when standards are not met by team; aligns processes with organizational needs.

Manages Complexity
Makes sense of complex, high quantity, and sometimes contradictory information to effectively solve problems. Consistently looks at complex issues from many angles; obtains a rich and deep understanding; swiftly cuts to the core issue; skillfully separates root causes from symptoms.

Global Perspective
Takes a broad view when approaching issues, using a global lens. Shows global thinking at work; adjusts organizational practices to meet the unique needs of different regions or countries. Uses a broad perspective when addressing issues and challenges.

Cultivates Innovation
Creates new and better ways for the organization to be successful. Approaches professional work in unique or innovative ways. Offers original ideas. Appreciates others' creative ideas and solutions and provides helpful input to enhance them.

Strategic Mindset
Sees ahead to future possibilities and translates them into breakthrough strategies.

RESULTS: MSF USA staff achieve results by cultivating a forward-thinking environment that produces solutions for changing stakeholder needs.

Drives Results
Consistently achieves results, even under tough circumstances. Regularly pushes self to achieve outstanding outcomes; consistently establishes bold goals for own performance; is passionate about excellent results and significant contributions. Shows great tenacity to complete goals/initiatives in a timely way.

Ensures Accountability
Holds self and others accountable to meet commitments.

PEOPLE: MSF USA staff understand their impact on others through collaboration and inclusion of different perspectives to achieve common goals.

Collaborates
Builds partnerships and works collaboratively with others to meet shared objectives. Readily involves others to accomplish goals; stays in touch and shares information; discourages "us versus them" thinking; shows appreciation for others' ideas and input.

Communicates Effectively
Develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences. Listens attentively and takes an interest. Keeps others well informed; conveys information clearly, concisely, and professionally when speaking or writing.

Values Differences
Recognizes the value that different perspectives and cultures bring to an organization. Confronts stereotyping and offensive comments promptly. Consistently behaves with great sensitivity toward differences in cultural norms, expectations, and ways of communicating.

Builds Effective Teams
Builds strong-identity teams that apply their diverse skills and perspectives to achieve common goals.

Manages Conflict
Handles conflict situations effectively, with a minimum of noise.

Builds Networks
Effectively builds formal and informal relationship networks inside and outside the organization.

Drives Vision and Purpose
Paints a compelling picture of the vision and strategy that motivates others to action.

SELF: MSF USA staff demonstrate self-awareness by having an open mindset and by continuously seeking opportunities to learn, grow, and improve. 

Instills Trust
Gains the confidence and trust of others through honesty, integrity, and authenticity. Models honesty and authenticity and encourages others to be up front with one another. Demonstrates reliability and places a strong emphasis on the team meeting its commitments. Fairly represents others' positions.

Manages Ambiguity
Operates effectively, even when things are not certain or the way forward is not clear. Responds effectively to unclear situations, seeks to resolve ambiguity and make progress. Seeks guidance on how to adapt to changes, responds with appropriate composure and effectiveness.

Situational Adaptability
Adapts approach and demeanor in real time to match the shifting demands of different situations. Serves as an example of adaptability and provides guidance and support to help others adapt to new situations. Considers the needs of clients, constituents, and the organization; shifts priorities appropriately.

Being Resilient
Rebounds from setbacks and adversity when facing difficult situations.

TECHNICAL COMPETENCIES

Plans and Aligns
Planning and prioritizing work to meet commitments aligned with MSF-USA goals.

Financial Acumen
Interprets and applies understanding of key financial indicators to make better business decisions.

Tech Savvy
Anticipating and adopting innovations in organizational digital and technology applications.

Data Collection and Analysis
The ability and skill to determine and analyze trends from data that is collected to assist in compiling reports that will help in decision-making. 

Project Management Skills
The ability and skill to plan and manage small project work assignments within desired cost, time and quality parameters.

Presentation and Written Communication Skills
Adapts approach and demeanor in real time to match the shifting demands of different situations. Serves as an example of adaptability and provides guidance and support to help others adapt to new situations. Considers the needs of clients, constituents, and the organization; shifts priorities appropriately.

Organizational Insight
Applying knowledge of MSF-USA and the industry to advance the organization's goals.

SUPERVISORY RESPONSIBILITY

None.

DESIRED QUALIFICATIONS & EXPERIENCE

  • Genuine commitment to the principles and work of Medecins Sans Frontieres (MSF).
  • Currently pursuing or recently completed a Master's degree in Data Science, Statistics, Analytics, or a related quantitative field.
  • Demonstrated experience building and managing Power BI dashboards (data modeling, Power Query, DAX).
  • Strong analytical and statistical foundation (e.g., regression, hypothesis testing, distributions).
  • A passion for data visualization design and communicating insights effectively.
  • Hands-on experience with Python and/or R for data wrangling and analysis.
  • Excellent attention to detail and data integrity.
  • Ability to work with complex, distributed, and sometimes unstructured data.
  • Curiosity, enthusiasm for learning, and a passion for turning data into meaningful insights.
  • Interest in HR analytics, workforce planning, or people analytics is a plus.

TRAVEL REQUIREMENTS

None

COMPENSATION

$20 per hour

ESTIMATED START DATE

Anticipated for December 2025/January 2026

DURATION

6 months

HOURS

20 per week

OFFICE LOCATION

New York, NY (Hybrid)
This role is based in our New York office, where most of the team and operational infrastructure are located. Due to current staffing and budget constraints, we're unable to support this position in our DC or California offices.