abc news special projects production intern, summer/fall 2026

2026 phd scientist intern (delivery logistics)

abc news studios production intern, summer/fall 2026

abc news special projects production intern, summer/fall 2026 Jobs in New York

2026 phd scientist intern (delivery logistics) Jobs in New York

2026 summer internship

abc news studios production intern, summer/fall 2026 Jobs in New York

applied scientist

2026 phd scientist intern delivery logistics

Uber

<div>We're looking for candidates to intern on the Delivery Logistics team as a PhD Scientist intern during summer 2026 (12 weeks). As an intern, you will be embedded in a product team working on solving real-world Uber problems under the supervision of a scientist on that team, and will have the opportunity to partner closely with Software Engineers, Product Managers, and other cross functional partners.
<br>
<br>
<b>About the Role
</b><br>
<br>
Have you ever ordered a car service on Uber, and when the ride arrives, wondered how it got to you so fast? Ever ordered food on UberEats and wondered where the driver was before receiving your order and how long it took to get to the restaurant or if your order was ready when the courier arrived? Ever wondered why your grocery delivery from Uber always has the best apple picked? If so, Uber is for you. In our Sciences division, we strive to make magic within Uber's marketplace. This requires judgment to make difficult trade-offs, blending algorithms with human resourcefulness, and the ability to build simplicity from complexity. When we get the balance right for everyone, Uber magic happens. We build systems to peer into the future to craft the most cost-efficient marketplace for matching supply and demand. We are passionate about using innovative economics, machine learning, and scalable distributed software that automates and optimizes every aspect of this intricate dance between participants of the marketplace.
<br>
<br>
We are involved in every stage of the product development cycle and use data to inform product decisions, build models to power our solutions, and also develop platform tools that are used across teams with a primary focus on Mobility and Delivery. We work with millions of earners across the globe to make this magic happen and want you to join us!
<br>
<br>
<b>About the Team
</b><br>
<br>
The Delivery Logistics team builds real-world technology that powers our global marketplace. Our team of scientists works on diverse problems, including building real-time backend matching systems, creating new delightful user experiences, and serving predictions used for decision making across the marketplace.
<br>
<br>
In this role, you will use your quantitative skills to generate insights, develop new models, design metrics and run experiments. Uber operates in a constantly-evolving and competitive environment, and our success requires a deep understanding of our marketplace and the ability to build products that scale on a global footprint. You will work on high visibility, high impact projects which have significant impact on Uber's P+L.
<br>
<br>
<b>What You'll Do
</b><ul><li>Work with a mentor closely to define a business problem, scope a project, develop, and prototype the solution using data-driven approaches
</li><li>Work with a cross-functional team to build cutting-edge marketplace products
</li><li>Deploy analysis techniques such as causal inference and funnel analysis to identify our largest business opportunities
</li><li>Work alongside engineers to design and implement production solutions
</li><li>Design and analyze product experiments, and communicate findings and conclusions with stakeholders
</li></ul><b>Basic Qualifications
</b><ul><li>Pursuing a PhD specializing in Operations Research, Statistics, Economics, Machine Learning, or other quantitative fields
</li><li>Must have at least one semester/quarter remaining after completion of the internship
</li><li>Experience with exploratory data analysis, statistical analysis and testing, and model development
</li><li>Ability to use Python to work efficiently at scale with large data sets
</li><li>Strong problem solving and analytical abilities
</li></ul><b>Preferred Qualifications
</b><ul><li>0-2 years of prior work experience in an analytical setting
</li><li>Organized, detail oriented and able to work independently on multiple projects at once
</li><li>Ability to communicate effectively with both technical and business partners
</li><li>Proficiency with office efficiency tools including email, web browser, web apps, database search, spreadsheets/word processors (Google Apps)
</li><li>Self starter, taking initiative keeping relevant partners in the loop
</li><li>Open to feedback, excellent at implementing newly learned ideas and concepts
</li>Background in data visualization via open-source libraries/packages or third-party tools (i.e. Tableau, Mixpanel, Looker, or similar)<br>
<li>
</li></ul><br>
<br>
For New York, NY-based roles: The base hourly rate amount for this role is USD$67.00 per hour. You will also be eligible for various benefits.</div>

2026 PhD Scientist Intern (Delivery Logistics)

police department

<p></p><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Senior Data Scientist
</b></h1></div><div><div><div><div><ul><li>POLICE DEPARTMENT
</li></ul></div></div><div><div>Posted On: 03/03/2026
</div></div><div><div><ul><li>Full-Time
</li></ul></div></div><div><div><div>Location
</div><div>NYC-ALL BOROS</div>
</div></div></div><div><div><div><ul><li>No Exam Required
</li></ul></div></div><div><div><div><div>Department
</div><div>Office Mgmt Analysis &amp; Plan/CV</div>
</div></div></div><p></p><div><div><div>Salary Range:</div>
<div>$75,000.00 &ndash; $160,000.00</div>
</div></div></div></div><div><div><p><b>Save</b></p>
</div></div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2></div>
<div><div><p>The mission of the New York City Police Department is to enhance the quality of life in New York City by working in partnership with the community to enforce the law, preserve peace, protect the people, reduce fear, and maintain order. The New York City Police Department strives to foster a safe and fair City through the strategic deployment of resources, focusing on both crime prevention and addressing quality-of-life concerns while building lasting community relationships.<br>
<br>
The Office of Management Analysis and Planning (OMAP) analyze and evaluate Departmental policies, programs, and resources to make recommendations to the Police Commissioner in order to ensure maximum organizational efficiency and effectiveness of the Department. OMAP is the research and assessment arm of the Department. comprised of both uniformed and civilian members of the service with a wide variety of academic and professional experiences. OMAP conducts analyses aimed at improving the effectiveness and efficiency of the Department (e.g., personnel deployments, resource allocation), develops complex pilot projects, formulates policy recommendations and prepares briefing materials for the Police Commissioner on a wide range of legislative and procedural issues.<br>
<br>
The Office of Management Analysis and Planning (OMAP) is seeking a skilled and highly motivated Senior Data Scientist to join the New York City Police Department (NYPD) Data Science team. OMAP serves as the primary evaluation and assessment arm of the NYPD. Acting as a &quot;think tank,' OMAP focuses on exploring and implementing innovative strategies and efficiencies aimed at enhancing policy development, evaluating programs, and optimizing organizational structures and staffing.<br>
<br>
A successful candidate will contribute to the section mission by providing technical leadership and designing data science services that solve Department challenges. They will harmonize software across data science projects and deliver advanced machine leaming solutions. Key responsibilities expert-level development work in Python, wrangling both structured and unstructured datasets (e.g. text, geospatial, network data), and designing effective software architecture. Strong project management and team building skills are required.<br>
<br>
WORK LOCATION:
<br>
1 Police Plaza, New York, N.Y. 10038<br>
<br>
WORK SCHEDULE:<br>
Monday to Friday 8 x 4 or 10 x 6<br>
<br>
TO APPLY:<br>
Please visit: https://cityjobs.nyc.gov and search for Job ID #771153<br>
<br>
ADDITIONAL INFORMATION:<br>
In compliance with Federal Law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.<br>
<br>
The City of New York offers a comprehensive benefits package including health insurance for the employee and his or her spouse or domestic partner and unemancipated children under age 26, union benefits such as dental and vision coverage, paid annual leave and sick leave, paid holidays, a pension, and optional savings and pre-tax programs such as Deferred Compensation, IRA, and a flexible spending account.<br>
<br>
IT PROJECT SPECIALIST - 95710</p><p><b><br>
Minimum Qualifications</b></p><p><br>
1. A baccalaureate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and four years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or<br>
<br>
2. An associate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and six years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or<br>
<br>
3. A baccalaureate degree from an accredited college, and eight years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or<br>
<br>
4. Education and/or experience which is equivalent to &quot;1&quot;, &quot;2&quot;, or &quot;3&quot; above.</p><p><b><br>
Preferred Skills</b></p><br>
- Ability to lead code reviews for data science and maintain core software packages. - Experience designing full-stack software products using Python, SQL, and/or R. - Experience designing statistical and machine leaming models (e.g. scikit-learn, statsmodels. PyTorch, HuggingFace). - Experience performing a wide range of data science tasks, including but not limited to data visualization, natural language processing, geospatial analytics, and nework analysis (e.g. Pandas, NumPy. Matplotlib, NLTK, GeoPandas, Flask). - Excellent oral. written, analytic, organizational, and interpersonal skills and attention to detail are required. - Ability to manage technical debt and use design patterns to design effective software architecture. - Ability to manage multiple projects simultaneously and meet tight deadlines. - Ability to train junior team members and work cross-functionally to strengthen relationships across the department. - Knowledge and understanding of criminal justice policy and research literature is preferred.<br>
<p><b>
Public Service Loan Forgiveness</b></p><br>
As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education&rsquo;s website at https://studentaid.gov/pslf/.<br>
<p><b>
Residency Requirement</b></p><br>
New York City Residency is not required for this position<br>
<p><b>
Additional Information</b></p><div></div><p><br>
The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.</p></div>
</div><div><div><p><b>
</b></p><p><b>Save</b></p>
</div></div></div></div><div><div><div><div><div><div><div>Job ID
</div><div>771153</div>
</div></div><div><div><div><div>Posted until
</div><div>04/01/2026</div>
</div></div></div><div><div><div><div>Title code
</div><div>95710</div>
</div></div></div><div><div><div><div>Civil service title
</div><div>IT PROJECT SPECIALIST</div>
</div></div></div><div><div><div><div>Title classification
</div><div>Non-Competitive-5</div>
</div></div></div><div><div><div><div>Business title
</div><div>Senior Data Scientist</div>
</div></div></div></div><div><div><div><ul><li><div>Experience Level: </div>Experienced (Non-Manager)
</li></ul></div></div><div><div><div><div>Job level
</div><div>00</div>
</div></div></div><div><div><div><div>Number of positions
</div><div>1</div>
</div></div></div><div><div><div><div>Work location
</div><div>1 Police Plaza, N.Y.</div>
</div></div></div><div><div><ul><li><div>Category: </div>Technology, Data &amp; Innovation
</li></ul></div></div></div></div></div></div><div><div><div><div><div>Senior Data Scientist</div></div></div></div></div></div><p></p>

Senior Data Scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
In this role, you will build scalable solutions and sophisticated models that identify and drive growth opportunities for Amazon Ads teams, specifically within Amazon's Demand Side Platform (ADSP). You will leverage machine learning, simulation, and advanced statistical techniques to explain complex patterns, quantify business impact, predict future trends, and prescribe actionable strategies that inform critical business decisions at the highest levels of the organization. You will work with various stakeholders to align on priorities, with the understanding that scope and direction may evolve based on organizational needs. You will translate business goals into agile, insightful analytics that create tangible value for both stakeholders and customers, and communicate your findings clearly and actionably to managers and senior leaders so they can quickly understand insights and take decisive action.<br>
<br>
You will set the strategy for ads delivery and quality and establish the measurement and decision frameworks. A core mandate for this role is to identify, instrument, and operationalize the input metrics that most directly drive ads delivery, quality, and performance, ensuring we optimize the levers that move outcomes rather than simply reporting on lagging KPIs.<br>
<br>
Key job responsibilities<br>
<ul><li>You will define and execute in-depth data analysis that drives data-informed decision making for product, sales, and finance teams who speak on behalf of advertisers.</li></ul><br>
<ul><li>You will establish and drive data hygiene best practices to ensure coherence and integrity of data feeding into production ML/AI solutions.</li></ul><br>
<ul><li>You will identify, instrument, and operationalize the input metrics that most directly drive ads delivery, quality, and performance, creating robust measurement frameworks.</li></ul><br>
<ul><li>You will collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale.</li></ul><br>
<ul><li>You will partner with product managers and stakeholders to define forward-looking product visions and prospective business use cases.</li></ul><br>
<ul><li>You will set the strategy for ads delivery and quality, establishing decision frameworks that enable teams to move from reactive reporting to proactive optimization.</li></ul><br>
<ul><li>You will drive and lead a culture of data-driven innovations within the Amazon AdTech org.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>2+ years of data scientist experience</li><li>Bachelor's degree</li><li>Experience applying theoretical models in an applied environment</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in Python, Perl, or another scripting language</li><li>Experience in a ML or data scientist role with a large technology company</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 153,400.00 - 207,500.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist II, ADSP Product Operations & Analytics

The Morgan Library & Museum

<div><p>The Morgan Library &amp; Museum welcomes applications for its 2026 paid summer internship program.</p><p>
The program will provide an introduction to the variety of career opportunities available in museums</p><p>
and special collection libraries. Each intern will be assigned to a department relevant to their interest</p><p>
and work with departmental staff on timely topics in that area. Interns will also have the opportunity to</p><p>
learn about the Morgan, and the museum and special collection fields more generally, through</p><p>
professional development opportunities such as facility tours and meetings with museum leadership.</p><p>
The Morgan especially seeks to provide opportunities to candidates with experiences and perspectives</p><p>
that have not been adequately reflected in the museum and special collection libraries fields.</p><p>
Internships are available in several areas. Please note that this application pertains only to the internship</p><p>
described below, not to the program overall. Detailed application instructions are provided below.</p><p><b>
Position Description:</b></p><p>
This internship offers a unique opportunity to gain experience in Imaging and Rights. The department</p><p>
provides access to the Morgan&rsquo;s rare collections via digital surrogates and clears rights and permissions</p><p>
for various uses. The successful candidate will assist with an inventory of analogue image assets and</p><p>
paper files, in addition to assisting with preparing images for use in Morgan publications and exhibition-</p><p>
related projects such as press and publicity, audio guides, and Morgan Shop uses, organizing images and</p><p>
tracking spreadsheets, assisting with print color proofing, and maintaining image and copyright credits.</p><p>
The intern will also update descriptive metadata in image files and will ingest these prepared image files</p><p>
into the Morgan digital asset management system (DAM). This requires accessing databases,</p><p>
embedding metadata into image files, and, after DAM ingest, reviewing, revising, and correcting data</p><p>
when necessary.</p><p><b>
Eligibility:</b></p><ul><li>
 Current enrollment as an undergraduate or graduate student</li><li>
 Strong interest in a career in the museum or library field</li><li>
 Eligibility to work in the United States; international candidates must be eligible to participate in a paid internship program in the United States</li><li>
 Strong verbal and written communication skills</li></ul><p><b>
Compensation: </b>$19 per hour.</p><p>
Summer internships are onsite at the Morgan, with interns generally working up to 28 hours per week</p><p>
for up to 12 weeks, beginning at the end of May and running through mid to late August.</p><p><b>
To Apply:</b></p><p>
Interns will be selected on a competitive basis via an application process. The deadline to apply for an</p><p>
internship is April 12, 2026.</p><ul><li>
A cover letter describing your interest in the Imaging and Rights Internship. The cover letter should also include a statement about your interest in the museum or library field, and your</li><li>
future aspirations</li><li>
 Any other information that you would like to provide regarding your candidacy for a Morgan</li><li>
summer internship</li><li>
Your resume</li><li>
The names and contact information of two references (please include the person&rsquo;s name, title,</li><li>
organization, telephone number, and email address)</li></ul><p>
Please note that applications received without all the requested information, including a cover letter,</p><p>
will not be considered. Candidates selected for interviews will be contacted before April 30, 2026, with</p><p>
notification of the decision following soon thereafter. No phone calls, please.</p></div>

The Morgan Library & Museum 2026 - Imaging and Rights Summer Internship

Eataly

<div><b>Company Description</b><p><br>
Eataly is the world&rsquo;s largest artisanal Italian food and beverage marketplace! Eataly is not a chain; each Eataly is different, with its own character and own theme &ndash; but all with the same aim... for our guests to:</p><ul><li>
EAT authentic Italian food at our restaurants, caf&eacute;s and to-go counters</li><li>
SHOP a selection of high-quality Italian, local and homemade products</li><li>
LEARN through our classes and our team&rsquo;s product knowledge</li></ul><br>
<b>
Job Description</b><p><br>
Eataly is hiring a Marketing Systems Intern for Summer 2026 to work with and learn from Eataly&rsquo;s Marketing Team. This internship is a unique opportunity for hands-on, professional experience with a fun and dynamic team. Get a taste of what life is like as an Eatalian!</p><p>
With the guidance of the Project Manager, Creative Services, the intern will:</p><ul><li>
Develop a strong understanding of Eataly&rsquo;s Digital Asset Management (DAM) system, including its structure, functionalities, metadata, and cross-team usage.</li><li>
Evaluate the current file organization and propose a more intuitive, user-friendly mapping structure to improve accessibility and workflow efficiency for both corporate and in-store teams.</li><li>
Design and implement a standardized folder hierarchy and naming convention to ensure consistency, scalability, and ease of search across all digital assets.</li><li>
Lead the renaming and reorganization of existing assets in alignment with the new structure, applying strong organizational, project management, and design principles to maintain brand consistency.</li><li>
Collaborate with the Marketing and Product Teams to support strategic content planning for campaigns and catalogs, while ensuring assets are properly categorized and aligned with newly implemented SOPs for in-store asset management efficiency.</li><li>
Performs other duties as required or assigned</li></ul><p>
This internship runs from June - August. The internship is onsite at Eataly&rsquo;s corporate offices in Manhattan, NY. The intern will be scheduled per week, Monday &ndash; Thursday from approximately 9 am &ndash; 6 pm. Internships at Eataly are paid an hourly rate. Housing and transportation costs are the responsibility of the intern.</p><p><b>
The compensation for this role is $17.00 per hour</b></p><p><b>
If you are not a current undergrad, consider applying for many of our open roles!</b></p><b><br>
Qualifications</b><br>
<ul><li>
Actively pursuing an undergraduate degree, preferably in Communication and/or Journalism</li><li>
Exceptional writing, communication, organizational and project management skills</li><li>
Knowledge of copywriting and systems</li><li>
Attention to detail including creative and design skills</li><li>
Ability to take direction and work independently</li></ul><br>
<b>
Additional Information</b><p><br>
BENEFITS AND PERKS</p><ul><li>
Learn about food, beverage, and Italian culture through classes and events</li><li>
Connect directly with company leaders through chats with leadership</li><li>
Complete and present a meaningful project over the course of the internship</li><li>
Free staff lunch daily and discount at Eataly marketplaces and restaurants</li><li>
Have 3-day weekends all summer long (our program is Monday &ndash; Thursday)</li></ul><div></div><p>
Eataly is an equal employment opportunity employer. It is the Company&rsquo;s policy to not unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, religion, national origin, age, disability or any other characteristic made unlawful to consider by applicable federal, state, or local laws. Eataly also prohibits harassment of applicants and employees based on any of these protected categories. It is also Eataly&rsquo;s policy to comply with all applicable federal, state and local laws regarding consideration of unemployment status, salary history, credit/bankruptcy history and criminal background/conviction history in making hiring decisions. If contacted for an employment opportunity, please advise Human Resources if you require accommodation.</p></div>

Marketing Systems Intern - Eataly Corporate

American Civil Liberties Union

<div><p>The ACLU seeks an <b>Undergraduate Creative Engagement intern in the Development Department </b>of the ACLU&rsquo;s National office in New York City. This internship is hybrid.</p>
<p><b>
Qualifying applicants must currently be matriculated undergraduate students or an equivalent combination of education and/or experience and must be based in the U.S. for the entire duration of the internship.</b></p>
<p><b>
The Team:</b></p>
<p>
The ACLU&rsquo;s passionate community of donors and activists is stronger than ever. The mission of the ACLU&rsquo;s Development Department is to unlock the full potential of donors and the ACLU as partners in the creation of a more perfect union. We pursue our mission by building long-term donor relationships and organizational partnerships, by demonstrating impact in response to threats, by engaging donors how they wish to engage, by taking interest in our donors and facilitating personal action, by being accountable stewards of their funds, and by asking donors to consider giving the ACLU their full support.</p>
<p><b>
What You&rsquo;ll Do:</b></p>
<p>
The Creative Engagement Intern will gain nonprofit marketing experience by working with the Donor &amp; Brand Activation team within the ACLU&rsquo;s Development Department. The intern will provide graphic design and project management support for editorial and print projects, including publications, decks, and reports, to increase fundraising opportunities and promote awareness of the ACLU&rsquo;s work nationwide.</p>
<p><b>
Your Day to Day</b></p>
<ul>
<li>Provide graphic design support for updating donor communications templates and visual content</li>
<li>Coordinate with teams across departments to implement brand elements across donor materials</li>
<li>Collaborate with editors on visual strategy for donor publications and messaging</li>
<li>Work with external designers and creatives on special projects and events for brand awareness</li>
<li>Assist with maintenance and development of departmental story bank</li>
<li>Support digital asset management for fundraising teams</li>
</ul>
<p><b>What You&rsquo;ll Bring:</b></p>
<ul>
<li>Graphic design experience in digital and print</li>
<li>Knowledge of marketing, publishing, branding, and/or fundraising</li>
<li>Familiarity with project management processes and tools</li>
<li>Excellent writing, communication, and time management skills</li>
<li>Ability to work independently as well as in a team</li>
<li>Strong computer skills, including proficiency with Microsoft Office Suite and Adobe InDesign, Photoshop and Illustrator</li>
</ul>
<p><b>Future ACLU-ers Will:</b></p>
<ul>
<li>Be committed to advancing the mission of the ACLU</li>
<li>Center and embed the principles of equity, inclusion and belonging in their work by demonstrating commitment to diversity with an approach that respects and values multiple perspectives</li>
<li>Be committed to work collaboratively and respectfully toward resolving obstacles and conflict</li>
</ul>
<p><b>Internship Logistics:</b></p>
<ul>
<li><b>Location:</b> Our internship program offers a limited number of remote or hybrid intern positions. This internship is full-time and hybrid from our New York City office.</li>
<li><b>Time Commitment:</b> Full-time (35 hours/week)</li>
<li><b>Internship Duration:</b> Full-time internships span 10 consecutive weeks. This internship has a start date of: <b>May 26th or June 8th</b></li>
<li><b>Stipend:</b> A stipend is available for students who are lawfully authorized to work. Arrangements can be made with educational institutions for work/study or course credit.
<ul><li>Below is the stipend rate:
<ul><li>$20/hr for undergraduate students or equivalent experience</li>
</ul>
</li></ul></li></ul><p><b>Why the ACLU:</b></p>
<p>
For over 100 years, the ACLU has worked to defend and preserve the individual rights and liberties guaranteed by the Constitution and laws of the United States. Whether it&rsquo;s ending mass incarceration, achieving full equality for the LGBTQ+ community, establishing new privacy protections for our digital age, or preserving the right to vote or the right to have an abortion, the ACLU takes up the toughest civil liberties cases and issues to defend all people.</p>
<p><b>
Our Commitment to Accessibility, Equity, Diversity and Inclusion</b></p>
<p>
Accessibility, equity, diversity, and inclusion are core values of the ACLU and central to our work to advance liberty, equality, and justice for all. For us diversity, equity and inclusion are not just check-the-box activities, but a chance for us to make long-term meaningful change. We are a community committed to learning and growth, humility and grace, transparency and accountability. We believe in a collective responsibility to create a culture of belonging for all people within our organization &ndash; one that respects and embraces difference; treats everyone equitably; and empowers our colleagues to do the best work possible. We are as committed to anti-oppression and anti-racism internally as we are externally. Because whether we&rsquo;re in the courts or in the office, we believe &lsquo;We the People&rsquo; means all of us.</p>
<p>
With this commitment in mind, we strongly encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, veteran status and record of arrest or conviction, or any other characteristic protected by applicable law.</p>
<p><i>
The ACLU is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and need assistance applying online, please email </i><i>benefits.hrdept@aclu.org</i><i>. If you are selected for an interview, you will receive additional information regarding how to request accommodations for the interview process.</i></p>
<p><b><i>
In order to be considered for this position, all candidates must formally submit an application. The ACLU does not accept unsolicited calls or emails from candidates regarding their application status.</i></b></p></div><p></p>

Summer 2026 Undergraduate Intern, Development Department - Creative Engagement

MedReview Inc.

<div>
 <span>
  <strong>
   Position Summary:&nbsp;
   <br/>
  </strong>
 </span>
 <span>
  <span>
   <span>
    <span>
     <span>
      <span>
       MedReview is looking for a talented and experienced
       <strong>
        Data Scientist
       </strong>
       to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models.
       <br/>
       <br/>
      </span>
     </span>
    </span>
   </span>
  </span>
 </span>
 <span>
  <span>
   <span>
    <span>
     <strong>
      <span>
       <span>
        Responsibilities:
       </span>
      </span>
     </strong>
    </span>
   </span>
  </span>
 </span>
 <ul>
  <li>
   <span>
    <span>
     <span>
      <span>
       <strong>
        <span>
         <span>
          Problem Identification:
         </span>
        </span>
       </strong>
       <span>
        <span>
         &nbsp;Collaborate with stakeholders to identify business challenges that can be solved through data analysis.
        </span>
       </span>
      </span>
     </span>
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     <span>
      <span>
       <strong>
        <span>
         <span>
          Data Collection &amp; Preparation:
         </span>
        </span>
       </strong>
       <span>
        <span>
         &nbsp;Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling.
        </span>
       </span>
      </span>
     </span>
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     <span>
      <span>
       <strong>
        <span>
         <span>
          Model Development:
         </span>
        </span>
       </strong>
       <span>
        <span>
         &nbsp;Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.
        </span>
       </span>
      </span>
     </span>
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     <span>
      <span>
       <strong>
        <span>
         <span>
          Exploratory Data Analysis (EDA):
         </span>
        </span>
       </strong>
       <span>
        <span>
         &nbsp;Analyze datasets to uncover hidden patterns, trends, and anomalies.
        </span>
       </span>
      </span>
     </span>
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     <span>
      <span>
       <strong>
        <span>
         <span>
          Communication &amp; Visualization:
         </span>
        </span>
       </strong>
       <span>
        <span>
         &nbsp;Translate technical findings into "data stories" using tools like&nbsp;Tableau&nbsp;or&nbsp;Power BI&nbsp;to influence executive decisions.&nbsp;
        </span>
       </span>
      </span>
     </span>
    </span>
   </span>
  </li>
 </ul>
 <span>
  <strong>
   Qualifications:&nbsp;
  </strong>
 </span>
 <ul>
  <li>
   <span>
    <span>
     <span>
      <span>
       <span>
        Master&rsquo;s degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)
       </span>
      </span>
     </span>
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     <span>
      <span>
       <strong>
        <span>
         <span>
          Programming:
         </span>
        </span>
       </strong>
       <span>
        <span>
         &nbsp;Proficiency in&nbsp;Python&nbsp;or&nbsp;R&nbsp; along with&nbsp;SQL&nbsp;for database querying.
        </span>
       </span>
      </span>
     </span>
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     <span>
      <span>
       <strong>
        <span>
         <span>
          Mathematics &amp; Statistics:
         </span>
        </span>
       </strong>
       <span>
        <span>
         &nbsp;Strong foundation in linear algebra, calculus, and statistical modeling.
        </span>
       </span>
      </span>
     </span>
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     <span>
      <span>
       <strong>
        <span>
         <span>
          Machine Learning:
         </span>
        </span>
       </strong>
       <span>
        <span>
         &nbsp;Experience with frameworks like&nbsp;TensorFlow,&nbsp;PyTorch, or&nbsp;scikit-learn.
        </span>
       </span>
      </span>
     </span>
    </span>
   </span>
  </li>
 </ul>
 <span>
  <span>
   <span>
    <span>
     <strong>
      <span>
       <span>
        Soft Skills:
       </span>
      </span>
     </strong>
     <span>
      <span>
       &nbsp;Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences.&nbsp;Experience working with global and remote teams
      </span>
     </span>
    </span>
   </span>
  </span>
 </span>
</div>


Data Scientist

Explore 282+ 2026 phd scientist intern delivery logistics in New York this March. Find roles across top companies and apply now to boost your career.