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Graduate Data Science Intern Jobs in Manhattan, NY

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 will do Join us as Data Scientist Intern to bring order to the chaos of culture. You'll extract insights from hard-to-reach data sources to tackle the big questions: What cultural trends are ...

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Position: Data Science and Analytics Intern Duration: 9 Weeks (15th June'26 - 14th Aug'26) Salary: $15.92 hourly (Minimum 20 hours per week) Location & Job Type: United States, Remote/Hybrid ...

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as ...

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as ...

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

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Graduate Data Science Intern information

See Manhattan, NY salary details

$13

$24

$46

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

As of May 28, 2026, the average hourly pay for graduate data science intern in Manhattan, NY is $24.84, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 and $27.07 per hour, depending on experience, location, and employer.

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

To thrive as a Graduate Data Science Intern, you need foundational knowledge in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data visualization tools, and understanding of databases are often required. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to extract actionable information from data and contribute value to team projects.

What types of projects do Graduate Data Science Interns typically work on, and how do these projects support their professional development?

Graduate Data Science Interns often work on real-world data analysis projects such as building predictive models, cleaning and visualizing data, or assisting with machine learning algorithm implementation. These projects are usually part of larger team initiatives and provide interns with hands-on experience using industry-standard tools and methodologies. Collaborating closely with data scientists, engineers, and business stakeholders, interns gain exposure to the end-to-end data science workflow and receive mentorship to support their growth. This experience not only enhances their technical skills but also helps them develop problem-solving and communication abilities crucial for future career advancement.

What does a Graduate Data Science Intern do?

A Graduate Data Science Intern assists data science teams by analyzing large datasets, developing predictive models, and supporting data-driven decision-making. They often work with programming languages like Python or R, and use tools such as SQL, Excel, and machine learning libraries. Interns contribute to real-world projects, gain hands-on experience in data analysis, and help communicate findings to stakeholders. This role serves as a bridge between academic learning and practical application in the workplace.

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

AspectGraduate Data Science InternData Analyst Intern
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Statistics, or related fieldOften pursuing or recently completed a degree in Data Analysis, Business, or related field
Work EnvironmentResearch-focused, data modeling, machine learning projects, collaborative teamsData collection, cleaning, reporting, visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, consulting, finance

The Graduate Data Science Intern role typically involves working on machine learning models and advanced analytics, requiring a background in data science or related fields. In contrast, Data Analyst Interns focus more on data cleaning, visualization, and reporting. Both roles are entry-level, often in similar industries, but differ in technical depth and project scope.

What are popular job titles related to Graduate Data Science Intern jobs in Manhattan, NY? For Graduate Data Science Intern jobs in Manhattan, NY, the most frequently searched job titles are:
What cities near Manhattan, NY are hiring for Graduate Data Science Intern jobs? Cities near Manhattan, NY with the most Graduate Data Science Intern job openings:

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.