data science intern

Donor Alliance, Inc.

<p></p><div><div><div><div><div><b>We want you to </b><b>help our team save more lives!</b></div>
</div>
<div><p>Named a Top Workplace for over 10+ years, Donor Alliance is driven by our core values, grounded in <i>People First</i>. Celebrating a commitment to the ideas, growth, and development of all team members in support of our mission to advance donation and transplantation efforts. With a team of bright minds united in saving and healing lives, we look forward to learning more about your unique skills and talents.</p>
</div>
<div><p><b>Data Science Intern</b></p>
</div>
<div><p>The data science intern will support a focused, project-based initiative. This internship offers a unique opportunity to apply data science and analytics in support of a nonprofit organization dedicated to saving and enhancing lives through organ and tissue donation. This position will lead or significantly contribute to a defined data science project from problem framing through solution delivery.</p></div><div><br>
<div>
</div></div><div><ul><li><div>Acquire, clean, and prepare structured and/or unstructured data from multiple sources.</div>
</li></ul>
</div><div><ul><li><div>Design, build, and evaluate machine learning or statistical models to address challenges</div>
</li></ul>
</div><div><ul><li><div>Write efficient queries and code to support data extraction and analysis</div>
</li></ul>
</div><div><ul><li><div>Deliver a final project summary, including methodology, results, and recommended next steps</div></li></ul></div><br>
<div>
</div><p></p><div><p>Here at Donor Alliance, we&rsquo;re committed to cultivating a workforce as dynamic and diverse as the community we serve. We understand that talent comes in many forms, and we look to hire individuals who bring a willingness to learn and a commitment to excellence. If this describes you, we encourage you to apply regardless of your qualifications.</p></div><div><br>
<p>
</p><p><b>Qualifications </b><b>&amp; </b><b>Ski</b><b>l</b><b>ls</b></p>
</div>
<div><ul><li><div>Current collgiate student or recent graduate within the last 2 years. Study focus within Data Science, Computer Science, Statistics, Applied Mathematics, or a related field</div>
</li></ul>
</div><div><ul><li><div>Experience with SQL for data querying and manipulation, required.</div>
</li></ul>
</div><div><ul><li><div>Foundational knowledge of machine learning and statistical modeling techniques</div>
</li></ul>
</div><div><ul><li><div>Experience with Python or similar programming languages, preferred.</div></li></ul></div><br>
<div>
<p></p><p><b>Compensation</b><b> &amp; Benefits</b></p>
</div>
<div><p>Donor Alliance has designed a robust benefits package. To learn more about these offerings, please visit https://www.donoralliance.org/who-we-are/careers/</p>
</div>
<div><ul><li><div>$24.50/hour</div>
</li></ul>
</div><div><ul><li><div>Non-exempt (eligible for overtime)</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>What </b><b>You&rsquo;ll</b><b> Gain</b></p>
</div>
<div><ul><li><div>The opportunity to contribute to a mission that saves and improves lives in your local community</div>
</li></ul>
</div><div><ul><li><div>Hands-on experience solving a real-world problem with direct organizational and human impact</div>
</li></ul>
</div><div><ul><li><div>Ownership of a project with tangible, meaningful outcomes</div>
</li></ul>
</div><div><ul><li><div>Mentorship from experienced data and analytics professionals</div>
</li></ul>
</div><div><ul><li><div>Exposure to cross-functional collaboration in a healthcare and nonprofit environment</div>
</li></ul>
</div><div><ul><li><div>A completed project that can be showcased in your professional portfolio</div></li></ul></div><p></p><div><br>
</div>
</div></div><p></p><div><div><p><i>Equal Opportunity Employer</i></p>
</div>
<div><p><b>www.donoralliance.org</b></p>
</div>
<div><p>Donor Alliance is the federally-designated, Association of Organ Procurement Organizations (AOPO) and American Association of Tissue Banks (AATB) accredited, non-profit organ procurement organization serving Colorado and most of Wyoming. As a recognized leader in facilitating the donation and recovery of transplantable organs and tissues, Donor Alliance&rsquo;s mission is to save lives through organ and tissue donation and transplantation. To achieve this mission, Donor Alliance employs effective family approach and recovery programs in more than 100 hospitals. Donor Alliance also inspires the public to register as organ and tissue donors through community partnerships, public outreach and education campaigns throughout its donation service area.</p></div></div></div><p></p>

Data Science Intern

Ascendis Pharma

<div><p>Ascendis Pharma is a dynamic, fast-growing global biopharmaceutical company with locations in Denmark, Europe, and the United States. Today, we're advancing programs in Endocrinology Rare Disease and Oncology.</p><p>
Here at Ascendis, we pride ourselves on exceptional science, visionary leadership, and skilled and passionate colleagues.</p><p>
Guided by our core values of Patients, Science, and Passion, we use our TransCon&reg; drug development platform to fulfill our mission of developing new and potentially best-in-class therapies to address unmet medical needs.</p><p>
Our culture fosters a place where skilled, adaptable, and highly resourceful professionals can truly make their mark. We offer a dynamic workplace for employees to grow and develop their skills.</p><p>
The Data Science Summer Intern will support the Global Biometrics department by contributing to R-based data analysis and reporting solutions used by clinical development teams. This role provides hands-on experience with exploratory analyses, surveillance-style reporting, and reproducible analytics in a collaborative and regulated research environment.</p><p>
This internship is structured as a learning and development opportunity. The intern will receive mentorship from experienced data scientists and gain exposure to real-world clinical data science workflows, tools, and best practices.</p><p><b>
Key Responsibilities</b></p><ul><li>
Support the maintenance and enhancement of R Markdown reports and Shiny apps</li><li>
Contribute to clear and well-documented analytical deliverables (code comments, README files, and basic user documentation)</li><li>
Collaborate with cross-functional team members to understand analytical requirements and incorporate feedback</li><li>
Apply standard practices for reproducible research, version control, and organized project structure</li></ul><p><b>
Learning and Development Opportunities</b></p><ul><li>
Practical experience using R and RStudio in an enterprise data science setting</li><li>
Exposure to reproducible reporting, structured analytical workflows, and version control practices</li><li>
Introduction to enterprise analytics, development, and AI-enabled productivity tools (e.g., Posit environment, Azure DevOps, Microsoft CoPilot)</li><li>
Insight into how data science supports clinical development and evidence-based decision-making</li><li>
Ongoing mentorship and guidance from senior data scientists within Global Biometrics</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Currently enrolled in, or recently completed, a Master&rsquo;s or PhD program (preferably in the second year or beyond) in Data Science, Statistics, Biostatistics, Computer Science, or a related quantitative field</li><li>
Foundational R programming skills, demonstrated through coursework or academic projects</li><li>
Familiarity with RStudio and R Markdown through academic or project experience</li><li>
Strong attention to detail and a willingness to learn in a regulated environment</li><li>
Effective written and verbal communication skills</li></ul><p><b>
Preferred Qualifications</b></p><ul><li>
Prior experience with R Markdown or similar reporting frameworks</li><li>
Exposure to R packages such as dplyr, ggplot2, renv, flexdashboard, and Shiny</li><li>
Familiarity with Git or other version control systems</li><li>
Coursework, projects, or interest in healthcare, life sciences, or clinical research</li><li>
Previous internship, academic project, or applied coursework involving data analysis</li></ul><p><b>
Work Environment</b></p><ul><li>
Remote (U.S.); candidates located in the SF Bay Area or Metropolitan Atlanta are preferred</li><li>
Collaborative team environment with regular feedback, coaching, and support</li><li>
Internship duration aligned with standard summer internship program timelines (8-12 weeks)</li></ul><p></p><p>
This internship will pay $30-38/hr. depending on your years of education completed.</p><b><br>
Benefits</b><br>
<p></p><ul><li>
This is a summer internship position with a duration of 8-12 weeks.</li><li>
You will be an external W2 contractor reporting to an Ascendis manager, no Ascendis benefits will be provided for this limited duration contract.</li><li>
Opportunity for mentorship and professional development.</li></ul></div><p></p>

Data Science Summer Intern - DSSI

City of Baltimore

<div><p><b>THIS IS A NON-CIVIL SERVICE POSITION</b></p><p></p><p><b>
Hiring Salary:</b></p><p><b>
$15.00 Hourly</b></p><p></p><p><b>
Job Summary</b></p><p>
The Data Analytics &amp; Data Science Intern will support the BCIT Enterprise Applications team by assisting with data analysis, reporting, and monitoring activities related to the City's enterprise systems, including Workday. The intern will work with team members to review system data, identify trends, and help develop reporting and visualization tools that support operational decision making. This position provides hands-on experience with enterprise technology, data analytics, and government IT operations.</p><p></p><p><b>
Essential Functions:</b></p><ul><li><p>
Assist with analyzing system and integration data to identify trends, patterns, and potential issues.</p></li><li><p>
Support development of reports and dashboards used by BCIT teams to monitor system performance.</p></li><li><p>
Review system logs and data files to help identify data quality issues or processing errors.</p></li><li><p>
Assist with data visualization using tools such as Power BI, Excel, or similar reporting platforms.</p></li><li><p>
Work with team members to document data processes and reporting workflows.</p></li><li><p>
Support research and testing of tools that can improve analytics and reporting capabilities.</p></li><li><p>
Participate in team meetings and present findings from data analysis activities.</p></li></ul><p></p><p><b>
Minimum Qualifications:</b></p><ul><li><p>
Currently pursuing or recently completed a degree in Computer Science, Data Science, Information Technology, Mathematics, Statistics, or a related field.</p></li><li><p>
Basic experience with programming languages such as Python or SQL.</p></li><li><p>
Familiarity with data analysis tools such as Excel, Power BI, Tableau, or similar tools.</p></li><li><p>
Interest in data analytics, enterprise systems, and technology operations.</p></li><li><p>
Strong attention to detail and organizational skills.</p></li></ul><p></p><p><b>
Eligibility Requirements:</b></p><ul><li><p>
Currently attend a Maryland high school as a junior/senior
</p></li><li><p>Currently attend a Maryland higher education institution
</p></li><li><p>Graduated from a Maryland high school, but currently attend a <b>non</b>-Maryland higher education institution
</p></li><li><p>Graduated from a Maryland high school, and is currently enrolled or graduated from a career technical training program</p></li></ul><p></p><p><b>
Knowledge, Skills, and Abilities:
</b></p><ul><li><p>Basic knowledge of data analysis concepts and methods.</p></li><li><p>
Familiarity with programming or scripting languages such as Python, SQL, or R.</p></li><li><p>
Ability to work with large datasets and identify patterns or trends.</p></li><li><p>
Strong analytical and problem-solving skills.</p></li><li><p>
Ability to communicate technical information clearly in written and verbal form.</p></li><li><p>
Experience with Microsoft Excel or data visualization tools is preferred.</p></li><li><p>
Ability to work both independently and collaboratively in a team environment.</p></li></ul><p></p><p><b>
Additional Information</b></p><p></p><p><b>
Background Check</b>
</p><p>Eligible candidates under final consideration for appointment to positions identified as positions of trust will be required to complete authorization for a Criminal Background Check and/or Fingerprint must be successfully completed.</p><p></p><p><b>
Probation</b></p><p>
All persons, including current City employees, selected for this position must complete a mandatory six-month probation.</p><p></p><p>
Baltimore City Government is an Equal Employment Opportunity Employer, and we are committed to a workplace that values diversity, equity, and inclusion. The City of Baltimore prohibits discrimination on the basis of race, color, religion, age, sex, ancestry, creed, national origin, disability status, genetics, marital status, military service, sexual orientation, gender identity/expression or any other characteristic protected by federal, state or local laws. Applicants requiring accommodations during the hiring process should contact the Department of Human Resources directly. Do not attach your request for accommodation to the application.</p><p></p><p><b>
BALTIMORE CITY IS AN EQUAL OPPORTUNITY EMPLOYER</b></p></div>

Data Science & Analytics Intern (NCS) - BCIT

AuraNex Solutions

<p><b>Company Description</b></p><p>AuraNex Solutions is a technology-driven company specializing in AI-powered systems, SaaS platforms, and automation solutions designed to solve real-world business challenges. Focused on innovation and efficiency, AuraNex combines modern software engineering and advanced technologies to develop scalable solutions that enhance productivity and support data-driven decision-making. The company works closely with startups and businesses to transform ideas into functional digital products, including custom software, web applications, and intelligent automation systems. With a commitment to quality and long-term collaboration, AuraNex Solutions empowers organizations to thrive in today&rsquo;s evolving digital environment.</p><p><b>Role Description</b></p><p>This is a full-time, on-site role based in Abbottabad District for an Artificial Intelligence Intern. The intern will support the design, development, and implementation of machine learning models, assist in analyzing large datasets to derive actionable insights, and collaborate with the team to create AI-driven solutions. Additional responsibilities include testing and debugging code, preparing progress reports, and contributing to innovative AI research and applications.</p><p><b>Qualifications</b></p><ul><li>Strong foundation in Computer Science and Analytical Skills</li><li>Proficiency in Data Science and familiarity with Machine Learning frameworks</li><li>Experience or coursework in Programming, with knowledge of languages such as Python, R, or Java</li><li>Ability to conduct research, experiment, and apply new AI methods</li><li>Strong problem-solving skills and attention to detail</li><li>Team-oriented mindset with effective communication and collaboration capabilities</li><li>Enthusiasm for AI technologies and innovation</li><li>Pursuing or recently completed a degree in Computer Science, Data Science, or a related field</li></ul><p>Job Types: Full-time, Internship, Fresher<br/>Contract length: 3-6 months</p><p>Work Location: Remote</p>

AI Intern

FENSTERMAKER

<div>Job Description:<p><br>
The Informatics Student Intern will work under the mentorship of our Remote Sensing Scientist to support geospatial application development, data workflows, and emerging technology initiatives. This internship is focused on software development and applied data science, delivering practical solutions for multidisciplinary teams. The Informatics Student Intern will actively contribute to the development of machine learning and AI-driven solutions, including computer vision models, geospatial analytics, and data infrastructure. The Informatics Student Intern will be a champion and leader of our company's core values while maintaining internal and external customer engagement and satisfaction.</p>
<p>Some responsibilities include:</p>
<ul><li>Developing tools, scripts, and workflows using open-source technologies and multi-source platforms to support internal teams</li>
<li>Assisting in building and deploying applications and informatics solutions</li>
<li>Contributing to computer vision, machine learning, and AI model development (e.g. feature extraction, classification, automation)</li>
<li>Supporting database design, data pipelines, and system integrations across diverse datasets</li>
<li>Performing vision modeling, automation, and applied analytics on spatial data</li>
<li>Researching, evaluating, and prototyping emerging technologies in AI and informatics</li>
<li>Collaborating across multiple disciplines to deliver scalable, real-world solutions</li></ul><br>
<br>
<br>
<b>Job Requirements:</b><br>
<ul>
<li>Currently pursuing a degree in Informatics, Computer Science, Data Science, or a related field</li>
<li>Strong problem-solving and analytical thinking skills</li>
<li>High attention to detail and strong organizational abilities</li>
<li>Interest in geospatial technologies, machine learning, or AI</li>
<li>Ability to work both independently and collaboratively in a team environment</li>
<li>Authorized to work in the United States</li>
</ul>
<p><b>Preferred Qualifications</b></p>
<ul><li>Experience with Python, JavaScript, or similar programming languages</li>
<li>Exposure to machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)</li>
<li>Understanding of databases (SQL, PostGIS, or similar)</li>
<li>Experience with APIs, automation, or cloud platforms</li></ul></div>

Student Intern, Informatics (Summer 2026)

Moog, Inc

<div><p>Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work.</p><p></p><p><b>
Job Title</b>:</p>
Intern, IT Computer Science - Data Analytics<p></p><p><b>
Reporting To:</b></p>
Negotiator, Group<p></p><p><b>
Work Schedule:</b></p>
Onsite &ndash; Buffalo, NY<div><p>
The Cost &amp; Pricing team within our Space &amp; Defense Group is seeking a summer 2026 block intern. The intern will have an onsite work schedule in East Aurora, NY.</p></div><p></p><div><p><b>
To be considered for this role,</b><b> </b><b>here&rsquo;s</b><b> </b><b>what</b><b> </b><b>you&rsquo;ll</b><b> </b><b>need to bring with you:</b></p></div><div><ul><li><p>
Enrolled in a Data Analytics, Data Science, Computer Science, Management Information Systems (MIS), Finance, Statistics, and/or Applied Mathematics Bachelor's or Master's Degree program, at an accredited university.</p></li></ul></div><div><ul><li><p>
GPA of at least 3.0; exact GPA requirement will be specified by department.</p></li></ul></div><div><ul><li><p>
This position requires access to U.S. export-controlled information.</p></li></ul></div><div><ul><li><p>
Ability to relocate for the duration of the internship.</p></li></ul></div><p></p><div><p><br>
Students within the Moog U.S. Internship Program are expected to have a professional disposition, effective communication skills, a strong desire to learn, a positive attitude, and the ability to work in a team environment.</p></div><p></p><div><p><b>
In this role you will:</b></p></div><div><ul><li><p>
Contribute to the preparation and execution of key information technology tasks at Moog.</p></li></ul></div><div><ul><li><p>
Provide technical support to the cost and pricing team, as needed.</p></li></ul></div><div><ul><li><p>
Work experience may include data extraction and validation, dashboard creation, developing and maintaining SharePoint databases and reporting tools, and/or data analytics projects based on the student's educational discipline.</p></li></ul></div><div><ul><li><p>
Provide input on project processes, strategies, and execution.</p></li></ul></div><div><ul><li><p>
Operate as a multidisciplinary member of a team of creative, independent individuals.</p></li></ul></div><div><ul><li><p>
Represent Moog in a manner consistent with its technical and professional reputation.</p></li></ul></div><p></p><div><p><b><br>
How we care for you:</b></p></div><div><ul><li><p>
Work/Life Balance: Flexible paid time off, holidays, and relocation assistance</p></li></ul></div><div><ul><li><p>
Collaborative and Welcoming Workplace: Inclusive culture rooted in our values, enhanced by Employee Resource Groups, and team-building activities.</p></li></ul></div><div><ul><li><p>
Additional site-specific benefits may be offered</p></li></ul></div><p></p><p><b>
Salary Range Transparency:</b></p>
Buffalo, NY $23.50&ndash;$31.00 Hourly<p></p><p><b>
Salary Range Disclaimer</b></p><p>
The base salary range represents the low and high end of the Moog salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Moog's total compensation package for employees. Other rewards may include annual bonuses, employee stock purchase plan, an open paid time off policy, and many region-specific benefits.</p><p></p><p>
This position requires access to U.S. export-controlled information.<br>
<br>
EOE/AA Minority/Female/Sexual Orientation/Gender Identity/Disability/Veteran</p><p></p><p><i>
Moog is an Equal Opportunity Employer, and as such affirms the right of every person to participate in all aspects of employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. If you are interested in applying for employment and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department via phone at 844-367-5787.</i></p><p></p><p>
No unsolicited agency submittals please. Agency partners must be invited to participate in a search by our Talent Acquisition Team and have signed terms in place prior to any submittal. Absent compliance with these pre-conditions resumes submitted directly to any Moog Inc. employee or affiliate will not qualify for fee payment, and therefore become the property of Moog Inc.</p></div>

Intern, IT Computer Science - Data Analytics

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Student Intern, Informatics (Summer 2026)

Intern, IT Computer Science - Data Analytics