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Internship Data Science Ngo Jobs in Indiana (NOW HIRING)

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Health Data Science/AI Associate

Indianapolis, IN · On-site

$56K - $56K/yr

Coursework, academic research, internships, or project experience involving programming, data analysis, AI, or data science. * Basic proficiency with SQL, Python, or another programming language.

New

Michelin

Data Engineer

Woodburn, IN

$102K - $123K/yr

This can include internship, Co-op, apprentices, military service, or similar programs. * BS in Computer Engineering, Computer Science, Data Engineering, Data Scientist, or a technical degree, or ...

Michelin

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

This can include internship, Co-op, apprentices, military service, or similar programs. * BS in Computer Engineering, Computer Science, Data Engineering, Data Scientist, or a technical degree, or ...

Freddie Mac

$14.25 - $19.25/hr

Freddie Mac's University program offers summer internships and full-time opportunities in Accounting, Business, Communications, Investments & Capital Markets, Computer Science, Data/Quant Analytics ...

Freddie Mac

$14.75 - $19.75/hr

Freddie Mac's University program offers summer internships and full-time opportunities in Accounting, Business, Communications, Investments & Capital Markets, Computer Science, Data/Quant Analytics ...

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Internship Data Science Ngo information

What does an internship data science position at an NGO involve?

An Internship Data Science position at an NGO typically involves supporting data-driven projects that help advance the organization's mission. Interns may collect, clean, and analyze data, create visualizations, and assist in preparing reports that inform decision-making and measure program impact. This role often requires working with real-world social, environmental, or humanitarian datasets and collaborating with other team members. It's a valuable opportunity to gain practical experience in applying data science skills to address social issues.

What are the key skills and qualifications needed to thrive as an internship data science professional at an NGO?

To thrive as a Data Science intern at an NGO, a solid foundation in statistics, data analysis, and programming (usually Python or R) is essential, along with ongoing or completed coursework in a related field. Familiarity with data visualization tools (such as Tableau or Power BI), spreadsheet software, and basic knowledge of databases are typically expected. Strong communication, teamwork, and adaptability help interns effectively translate data insights for non-technical stakeholders and collaborate within mission-driven teams. These skills are crucial for generating actionable insights that support the NGO's objectives and maximize its social impact.

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

As a Data Science intern at an NGO, you'll typically work on projects that involve analyzing and interpreting data to support the organization's mission, such as evaluating program effectiveness, donor engagement, or community impact. You might clean and visualize data, build predictive models, or develop dashboards for stakeholders. These projects often require collaboration with program managers, communications teams, and sometimes external partners to ensure insights are actionable and impactful. The work environment is usually collaborative and mission-driven, offering opportunities to learn from experienced professionals while contributing to meaningful causes.
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Internship Data Science Ngo jobs near you

Health Data Science/AI Associate

Regenstrief Institute

Indianapolis, IN

$56K - $56K/yr

Full-time

Life, Retirement, PTO

Posted 2 days ago

New

Job description

POSITION PURPOSEWorking alongside experienced data engineers, analysts, investigators, and scientists, associates contribute directly to meaningful research projects while developing technical expertise, professional skills, and an understanding of modern health data science.Projects are selected to align with each extern's strengths, interests, and career goals while providing opportunities to expand knowledge across cloud computing, AI, data engineering, clinical data analysis, and health informatics.

New graduates and early-career professionals are strongly encouraged to apply. Prior professional experience is welcomed but not required. This is a six-month role, with the possibility to extend to a second six-month period.

This position is a hybrid position with at least one (1) to two (2) days of onsite activity based on business needs. This position is located in downtown Indianapolis IN.   ESSENTIAL DUTIES AND RESPONSIBILITIESUnder the guidance of supervisors and scientific mentors, the extern may:
  • Participate as an active member of multidisciplinary project teams supporting health research initiatives.
  • Assist with the engineering, preparation, transformation, and analysis of large clinical and administrative datasets.
  • Develop and maintain SQL and Python code to support data extraction, integration, quality improvement, and analytics.
  • Contribute to cloud-based data engineering initiatives supporting AI-ready infrastructure.
  • Assist in implementing and improving data pipelines, workflows, and automated processes.
  • Support the development, evaluation, and responsible use of AI-enabled tools that improve research and operational efficiency.
  • Work with health data standards and common data models, including concepts such as OMOP and HL7/FHIR.
  • Participate in data validation, quality assurance, and documentation activities to ensure reproducibility and integrity.
  • Prepare technical documentation, process documentation, and project summaries.
  • Present project updates and findings to mentors, supervisors, and project teams.
  • Participate in team meetings, knowledge-sharing activities, and professional development opportunities.
  • Demonstrate appropriate stewardship of sensitive health information while adhering to security, privacy, and compliance requirements.
  • Perform other related duties as assigned.
QUALIFICATIONSRequired EducationRequires at least a Bachelor's degree in one of the following (or a closely related field):
  • Data Science
  • Health or Biomedical Informatics
  • Computer Science
  • Data Engineering
  • Statistics
  • Information Science
  • Applied Mathematics
  • Related quantitative discipline
Required Qualifications
  • Coursework, academic research, internships, or project experience involving programming, data analysis, AI, or data science.
  • Basic proficiency with SQL, Python, or another programming language.
  • Demonstrated analytical thinking and problem-solving skills.
  • Strong written and verbal communication skills.
  • Ability to collaborate effectively with mentors, scientists, engineers, analysts, and project teams.
  • Ability to prepare technical documentation and communicate technical concepts clearly.
  • Intellectual curiosity, initiative, and willingness to learn new technologies.
  • Commitment to protecting confidential and sensitive health information.
PREFERRED QUALIFICATIONSPreference may be given to candidates with exposure to one or more of the following:
  • Cloud computing platforms
  • Machine learning or artificial intelligence
  • Clinical or healthcare data
  • Data visualization tools
  • Git or source code management
  • Health data standards such as OMOP, HL7, or FHIR
CORE COMPETENCIESSuccessful externs demonstrate:
  • Learning Agility
  • Analytical Thinking
  • Collaboration
  • Communication
  • Accountability
  • Curiosity and Innovation
  • Professionalism
  • Adaptability
  • Continuous Improvement
PHYSICAL DEMANDSThe physical demands described here are representative of those an individual can expect while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.
  • Ability to sit and/or stand for extended periods.
  • Manual dexterity sufficient to operate a computer, keyboard, and related office equipment.
  • Occasional lifting or carrying of materials weighing up to 20 pounds.
 WORK ENVIRONMENTThis position operates in a hybrid work environment, combining remote work with on-site work at Regenstrief Institute facilities. Externs collaborate regularly with supervisors, mentors, researchers, and technical staff using both in-person and virtual collaboration tools.BENEFITS OF WORKING HERE 
  • Work with a variety of diverse professionals in the healthcare industry
  • Free parking
  • Paid holidays, vacation, and sick time
  • Group Life and Voluntary Term Life insurance
  • Long-term and Short-term Disability plans
  • Employee Assistance Program (EAP)
  • Flexible Spending Account (FSA)
  • 403b Retirement Plan with gracious employer contributions
  • Fitness program
  • Pet insurance
  • Qualified employer for loan forgiveness
Please note sponsorship and/or relocation are not available for this position. REGENSTRIEF INSTITUTE REQUIRES ALL EMPLOYEES TO RECEIVE THE INFLUENZA VACCINATION ANNUALLY UNLESS APPROVED FOR EXEMPTION. 

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