data science intern

Inovio Pharmaceuticals

<div><p><b>About INOVIO</b></p><p>
INOVIO is a biotechnology company focused on developing and commercializing DNA medicines to help treat and protect people from HPV-related diseases, cancer, and infectious diseases. INOVIO&rsquo;s technology optimizes the design and delivery of innovative DNA medicines that teach the body to manufacture its own disease-fighting tools. For more information, visit www.inovio.com.</p><p><b>
Job summary</b></p><p>
The Quality Data Science Intern will support INOVIO&rsquo;s Quality Metrics, Manufacturing Metrics, and Management Review automation project by helping organize data sources, build Power BI dashboards, establish data relationships, and improve the structure of data collection for quality, manufacturing, and production-environment metrics.</p><p>
This role will work cross-functionally with Quality, Manufacturing, Engineering, and other data owners to transform manually collected Excel-based data and system exports into more reliable, scalable, and automated reporting tools. The intern will help connect and structure data from sources such as Excel spreadsheets, MasterControl reports/exports, Microsoft Dynamics AXP or other operational systems, and databases to support Power BI dashboards and trend analysis.</p><p>
The successful candidate should be technically capable, data-driven, detail-oriented, and comfortable working with incomplete or inconsistent data sets. This position is well suited for a student or early-career candidate with experience or coursework in data analytics, data science, information systems, industrial engineering, statistics, computer science, or a related technical field.</p><p><b>
Essential job functions and duties</b></p><ul><li>
Work with Quality, Manufacturing, and other data owners to understand current KPI and metric reporting needs, source data, data definitions, and reporting gaps.</li><li>
Support development of Power BI dashboards for quality, manufacturing, supplier, equipment, audit, training, complaint, and production-environment metrics.</li><li>
Establish and maintain data relationships between Excel files, MasterControl exports or reports, Microsoft Dynamics AXP or other operational system data, databases, and Power BI datasets.</li><li>
Assist with mapping data fields from source systems to dashboard requirements, including KPI name, definition, calculation logic, data source, owner, reporting cadence, filters, and visualization needs.</li><li>
Clean, organize, validate, and transform data to support accurate and reliable Power BI reporting.</li><li>
Create repeatable data import, transformation, and refresh processes to reduce manual Excel work and improve reporting consistency.</li><li>
Support baseline and threshold analysis by organizing historical data and preparing datasets for statistical evaluation.</li><li>
Help identify data integrity issues, missing fields, inconsistent naming conventions, duplicate records, and opportunities to improve data collection templates or database structure.</li><li>
Collaborate with Quality and Manufacturing team members to ensure dashboards are practical, understandable, and aligned with business and compliance needs.</li><li>
Support other quality metrics, data analytics, dashboarding, and process improvement activities as assigned.</li></ul><p><b>
Minimum requirements</b></p><ul><li>
Current enrollment in, or recent completion of, a bachelor&rsquo;s or master&rsquo;s degree program in Data Science, Computer Science, Information Systems, Statistics, Engineering, Industrial Engineering, Biomedical Engineering, Business Analytics, or a related technical discipline.</li><li>
Experience with Power BI, including creation of charts, dashboards, data models, relationships, slicers, and visual reports.</li><li>
Strong Microsoft Excel skills, including formulas, tables, pivot tables, data cleanup, and structured datasets.</li><li>
Basic understanding of relational data concepts, including tables, keys, relationships, joins, and data normalization.</li><li>
Ability to work with multiple data sources and organize inconsistent or incomplete data into usable reporting structures.</li><li>
Strong attention to detail and ability to identify data quality issues.</li><li>
Ability to communicate clearly with technical and non-technical data owners.</li><li>
Ability to work independently on assigned tasks while seeking guidance when source data, requirements, and/or assumptions are unclear.</li><li>
Strong written and verbal communication skills.</li></ul><p><b>
Preferred requirements</b></p><ul><li>
Experience with Power Query, DAX, SQL, Microsoft Access, SharePoint Lists, Dataverse, or other database/data transformation tools.</li><li>
Experience connecting Power BI to Excel, SharePoint, databases, exported system reports, or enterprise applications.</li><li>
Experience with Microsoft Dynamics AXP or similar ERP/manufacturing data systems is desired but not required.</li><li>
Familiarity with MasterControl, eQMS systems, manufacturing systems, environmental monitoring systems, or similar regulated-data platforms.</li><li>
Coursework or experience in statistics, SPC, process monitoring, control charts, Pareto analysis, regression, or data visualization.</li><li>
Experience building dashboards for manufacturing, quality, operations, laboratory, or regulated-industry data.</li><li>
Familiarity with medical device, biotechnology, pharmaceutical, or other regulated environments.</li></ul></div><p></p>

Data Scientist Intern

Universal Orlando Resort

<div><h3 class="jobSectionHeader"><b>Universal Destinations &amp; Experiences Internship Program:
</b></h3><ul><li><b>Applications Close: </b>June 26th, 2026, at 11:55PM ET. Submit your application as soon as possible &ndash; don&rsquo;t delay!</li>
<li><b>Spring 2027 Program Dates:</b> Approximately January 2027 &ndash; April 2027</li>
</ul>
<h3 class="jobSectionHeader"><br>
<b>JOB SUMMARY</b><b>:</b></h3>
<p>
The Data Scientist Intern will be part of UDX&rsquo;s Global Pricing Analytics team. The intern will train under the guidance of a data scientist in price optimization for admissions. The intern will learn end-to-end (systems, models, processes, and business) how admission prices are optimally generated and implemented.</p>
<h3 class="jobSectionHeader"><b>
MAJOR RESPONSIBILITIES:</b></h3>
<ul><li>Learns the process, systems, models, and business rules in the optimization of admissions pricing at Universal Destinations &amp; Experiences.</li>
<li>Prototypes models for forecasting demand and optimizing prices of admissions.</li>
<li>Creates forecasting models at the optimal level of disaggregation and fine-tunes regressors/parameters for optimal accuracy.</li>
<li>Creates optimization models in dynamic programming and fine-tunes parameters for generating actionable price recommendations.</li>
<li>Conducts data analysis and identifies pricing strategies to generate incremental revenue.</li>
<li>Constructs hypotheses to test pricing strategies and implements, measures, and reports on pricing tests.</li>
<li>Practices programming skills in Python, SQL; working with Tensorflow, Prophet, SciPy, NumPy libraries; working in AWS, Snowflake.</li>
<li>Understands and actively participates in Environmental, Health &amp; Safety responsibilities by following established UO policy, procedures, training, and Team Member involvement activities.</li>
<li>Performs other duties as assigned.</li>
</ul><h3 class="jobSectionHeader"><b>MINIMUM QUALIFICATIONS:</b></h3>
<ul><li>In pursuit of an Associate, Bachelor or Graduate degree at an Accredited Institution with current class standing of Senior or graduate student.</li>
<li>Minimum cumulative 2.8 GPA is required.</li>
<li>A transcript is required upon application.</li>
</ul><h3 class="jobSectionHeader"><b>PREFERRED SKILLS &amp; KNOWLEDGE:
</b></h3><ul><li>Preferred majors include: Operations Research, Statistics, Data Science, or similar.</li>
<li>Preferred coursework completed: Linear Programming, Mixed-Integer Programming, Probability, Statistics, Machine Learning, or similar.</li>
<li>Preferred modeling skills in forecasting and optimization.</li>
<li>Familiarity with Revenue Management, Dynamic Programming, Price Elasticity of Demand, Tensorflow, Prophet, SciPy, NumPy, AWS, Azure, Snowflake, PowerBI, and/or Excel</li>
</ul><h3 class="jobSectionHeader"><b>Please note the following:</b></h3>
<ul><li>This internship will be an in-person experience, based in our Orlando offices.</li>
<li>Interns must be currently pursuing a degree at an accredited university, and must have a graduation date later than April 2027.</li>
<li>Universal Orlando does not provide housing. Interns are responsible for their own housing and transportation.</li>
<li>All of our internships are paid, and you may also qualify for housing financial assistance if applicable. The Recruiter will provide specific eligibility details.</li></ul><br>
<p><br>
Universal is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Universal Orlando via-email, the Internet or in any form and/or method without a valid written Statement of Work in place for this position from Universal Orlando HR/Recruitment will be deemed the sole property of Universal Orlando. No fee will be paid in the event the candidate is hired by Universal Orlando as a result of the referral or through other means.</p>
<p>
Universal Orlando Resort. <b>.</b></p><br>
<p>
Universal Orlando is an equal opportunity employer. Universal elements and all related indicia TM &amp; &copy; 2026 Universal Studios.</p></div>

Internship – Data Scientist, Global Pricing Analytics (Spring 2027)

Arbor Research Collaborative for Health

<div><h2 class="jobSectionHeader"><b>About the Project</b></h2>
<p>
The CKD study uses 5 years of structured EHR data from a large private nephrology practice with over 50,000 patients. The study aims to:</p><br>
<p></p>
<ul>
<li>Build standardized, analysis-ready analytic files (SAFs) spanning 2021&ndash;2025</li>
<li>Assess feasibility of longitudinal data elements (labs, prescriptions, disease history)</li>
<li>Characterize CD patients using contemporary clinical and treatment data</li>
<li>Evaluate the availability of specific variables (imaging, genetics, family history) in unstructured clinical records</li></ul><br>
<p></p>
<p>
The intern will be embedded in an active project team that includes biostatisticians, epidemiologists, data scientists, and clinical nephrologists, and will contribute to analytic work from day one.</p><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2>
<ul><li>Contribute to construction and QC of longitudinal electronic health record (EHR) analytic files using structured data</li>
<li>Conduct descriptive analyses of patient demographics, lab values, medication use, and clinical characteristics</li>
<li>Summarize data availability, follow-up patterns, and measurement frequency across CKD subgroups</li>
<li>Support feasibility assessments by generating counts, proportions, and distributional summaries</li>
<li>Produce clean, well-documented analytic code and contribute to draft tables and figures</li>
<li>Participate in biweekly internal team meetings and client meetings, and contribute to written deliverables</li>
</ul><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
<p><b>
Required:</b></p>
<ul>
<li>Currently enrolled in a graduate program (MPH, MS, PhD, or equivalent) in biostatistics, epidemiology, data science, health informatics, or a related field</li>
<li>Proficiency in Python, R, or SAS for data manipulation and descriptive analysis</li>
<li>Comfort working with big data &ndash; large, messy, real-world datasets</li>
<li>Strong attention to detail and ability to write clean, reproducible, well-commented code</li>
<li>Ability to work independently with remote supervision</li>
<li>Comfort using AI-assisted coding tools (e.g., Claude, GitHub Copilot)</li></ul><br>
<p></p>
<p><b>
Preferred:</b></p>
<ul>
<li>Familiarity with EHR data or claims-based data</li>
<li>Experience with longitudinal data structures (e.g., repeated lab measurements, time-to-event)</li>
<li>Experience with version control (Git)</li>
</ul><h1 class="jobSectionHeader"><b>Position Details</b></h1>
<ul><li>Duration: approximately July 1 &ndash; August 29, 2026 (flexible start; contingent on contract execution)</li>
<li>Hours: full-time (~40 hrs/week) or near full-time</li>
<li>Location: fully remote; no travel required</li>
<li>Compensation: paid internship (rate commensurate with experience)</li>
<li>Supervisor: Brian Bieber, MS, Research Scientist, Data Science</li>
</ul><h3 class="jobSectionHeader"><b>How to Apply</b></h3>
<p>
Submit a CV and a brief cover letter (1 page max) describing your relevant experience and availability. Applications will be reviewed on a rolling basis &mdash; early submission is strongly encouraged given the July start date.</p><br>
<p></p>
<h3 class="jobSectionHeader"><b>
Pay</b></h3>
<p>
$27 USD per hour</p><p>
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities<br>
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</p></div>

Contingent Summer Research Analyst Intern

Lenovo

<div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div>Req #
</div><div>WD00100514
</div></div><div><div>Career area:
</div><div>Product Management
</div></div><div><div>Country/Region:
</div><div>United States of America
</div></div><div><div>State:
</div><div>North Carolina
</div></div><div><div>City:
</div><div>Morrisville
</div></div><div><div>Date:
</div><div>Friday, June 12, 2026
</div></div><div><div>Working time:
</div><div>Full-time
</div></div><div><div><b>Additional Locations</b>:
<ul><li>United States of America - North Carolina - Morrisville
</li></ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Why Work at Lenovo
</b></h3></div></div><div><div><div><div><div><div>We are Lenovo. We do what we say. We own what we do. We WOW our customers.</div><div></div><div><br>
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).</div></div><br>
<div></div><br>
<div>This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.</div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements
</b></h3></div></div><div><div><div><div><h2 class="jobSectionHeader"><b>AI Strategy &amp; Tools Summer Intern &ndash; Digital Workplace Solutions</b></h2><p><b>
Location:</b> Lenovo Morrisville, Corp HQ 3:2 Hybrid Policy 3 days in office, 2 days flex location<br>
<b>Duration:</b> Summer Internship (6-8 weeks)</p><h3 class="jobSectionHeader"><b>
About the Role</b></h3><p>
We&rsquo;re looking for a highly motivated intern to help shape the future of AI within Digital Workplace Solutions. In this role, you&rsquo;ll contribute to building scalable AI frameworks and developing innovative tools that enhance decision-making, market insights, and offering readiness across the business.</p><p>
This is a hands-on opportunity to work on high-impact, real-world AI applications while collaborating with cross-functional teams.</p><p></p><h3 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h3><ul><li>
Support the development of standardized AI frameworks to enable scalable solutions across Digital Workplace initiatives</li><li>
Contribute to the design and build of AI-powered tools across four key applications:
<ul><li>Executive Briefing Agent</li><li>
Offering Readiness Analyzer</li><li>
Competitive Warfare Engine</li><li>
Consolidated Market Insights Engine</li></ul></li><li>
Assist in shaping strategic plans for AI tool adoption and integration</li><li>
Analyze data and business needs to improve tool performance and usability</li><li>
Partner with stakeholders to gather requirements and translate them into AI-driven solutions</li><li>
Present findings, recommendations, and progress updates to team members and leadership</li></ul><p></p><h3 class="jobSectionHeader"><b>
Required Qualifications</b></h3><ul><li>
Currently pursuing a Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, Engineering, or a related field</li><li>
Strong interest in artificial intelligence, machine learning, and data analytics</li><li>
Experience with programming languages such as Python (preferred) or similar</li><li>
Analytical mindset with the ability to translate data into insights</li><li>
Strong communication and collaboration skills</li></ul><p></p><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
Exposure to AI/ML frameworks or tools (e.g., TensorFlow, PyTorch, or similar)</li><li>
Experience working on data-driven projects or academic research</li><li>
Familiarity with business strategy, market analysis, or product development concepts</li><li>
Interest in digital workplace technologies or enterprise solutions</li></ul><p></p><h3 class="jobSectionHeader"><b>
Why Join Us</b></h3><p></p><ul><li>
Work on meaningful AI projects with real business impact</li><li>
Gain exposure to enterprise-level strategy and innovation</li><li>
Collaborate with experienced professionals across technology and business teams</li><li>
Build skills that position you for future careers in AI, analytics, and strategy</li></ul>
</div></div><div><div><div><i>We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.</i></div>
</div></div></div></div></div><div></div><div><div><div><div><div><b>Additional Locations</b>:
<ul><li>United States of America - North Carolina - Morrisville
</li></ul></div></div><div><ul><li>United States of America
</li></ul></div><div><ul><li>United States of America - North Carolina
</li></ul></div><div><ul><li>United States of America - North Carolina - Morrisville</li></ul></div></div></div></div></div>

AI Strategy & Tools Summer Intern – 2026 (Digital Workplace Solutions)

UPSIDE Foods

<p></p><div><p><b>About us:</b></p>
<p>
Based in Berkeley, CA, UPSIDE Foods grows meat, poultry, and seafood directly from real animal cells. These products are not vegan or vegetarian&mdash;they are delicious meat, made without the need to raise and slaughter billions of animals. In doing so, the company aims to address some of the most pressing environmental, animal welfare, and public health challenges, while still giving people the meat they love.</p>
<p>
Founded as the world's first cultivated meat company in 2015, UPSIDE Foods (formerly Memphis Meats) has achieved numerous industry-defining milestones, including being the first company to produce multiple species of meat (beef, chicken, and duck) and to sell a cultivated meat product in the United States. The company believes that people shouldn't have to choose between the foods they love and a thriving planet, and is working to build a better food system with access to delicious, humane, and sustainable meat, poultry, and seafood.</p>
<p>
UPSIDE Foods has won various industry awards, including New York Times' Good Tech Awards, FastCo's Next Big Thing in Tech and World Changing Ideas Awards, and the Best and Brightest Companies to Work For in the Nation by the National Association for Business Resources. UPSIDE Foods has raised more than $600 million in funding from a diverse group of leading U.S. and global investors, including top-tier venture capital firms, sovereign investment funds, strategic food and agriculture partners, and prominent technology and sustainability investors.<br>
<br>
<b>About this internship:</b>
<br>
<br>
At UPSIDE Foods, we're turning the promise of cultivated meat into a delicious, nutritious reality, and we're using AI to do it, from faster R&amp;D to scaled manufacturing and commercial. As an AI Intern within the Enterprise Intelligence team, you'll join a tight‑knit group of data scientists and IT &amp; software developers who partner with our sci/tech teams to use advanced computing to make meat. Your work will advance our AI portfolio and become central to the worldwide scale of cultivated meat, contributing to a sustainable global food system.</p>
<p>
This AI Internship is a chance to deliver full life-cycle AI deployments, from stakeholder design to shipping new services. You'll start with data exploration and white‑boarding use‑cases with stakeholders. You might mine time-series data for hidden predictors, or engineer robust pipelines in Python and SQL, or develop AI agentic workflows to accelerate efficiencies. Expect to juggle API integrations, AWS micro‑services, and data‑engineering touchpoints as you weave LLM‑powered chat, search, and automation features directly into existing UPSIDE infrastructure. You'll partner with biologists to ensure your features honor metabolic reality, iterate with manufacturing engineers to translate raw sensor streams in algorithms and push models across scales, and ship crisp visualizations that make complex kinetics intuitive for non‑experts. You'll own meaningful projects from conception to continuous deployment and feedback loops that drive long term business value.</p>
<p>
This sixteen week internship will give you a front‑row seat to how AI integrates with mammalian and avian cell biology, and by the end, you'll have deployed three or more applications that drive meaningful value and enable the future of food.</p>
<p><b>
Responsibilities include:</b></p>
<ul>
<li>Collaborate with stakeholders to envision and design AI-first workflows and AI agents that are teammates for UPSIDErs.</li>
<li>Explore our R&amp;D and MFG data landscape in search of predictive data and insights, and develop custom data pipelines where needed.</li>
<li>Design and implement AI/ML workflows from data preprocessing to prediction, applicable across bioreactor scales and species.</li>
<li>Integrate AI solutions within organizational tools (e.g., Slack, Jupyter) and data sources, and leverage dashboards or lower-tech solutions when appropriate.</li>
<li>Work closely with IT and Data teammates to ensure infrastructure support.</li>
<li>This internship can be either 20 hrs/wk concurrent with school or 40 hrs/wk full time. Please indicate your preference in your cover letter accordingly.</li><br>
</ul>
<p><b>About you:</b></p>
<ul>
<li>Strong ownership instincts. You're able to drive projects forward and navigate messy cross-functional objectives.</li>
<li>Proficiency in Data Science, Machine Learning, and AI. You know how to validate models, analyze data, and assess AI tool performance.</li>
<li>Strong familiarity with modern AI-driven software dev: Python, SQL, git, Docker, DevOps principles, and frontier AI coding, e.g. Claude Code.</li>
<li>Start up mentality. You're able to gather stakeholder requirements and quickly translate them into MVPs and recur feedback-improvement loops.</li>
<li>Familiarity with bioprocessing and cell biology concepts.</li>
<li>Must be able to be on-site 3-days a week at our facility near Berkeley, CA, for full time internships.</li>
<li>Preference for experience in production environments. You can interface APIs&ndash;both your own and otherwise, build in AWS (or equivalent), and can troubleshoot when something goes wrong.</li>
<li>Preference for recent graduates or those doing a Master's program in AI, computer science, or data science.</li>
</ul>
<p><b>Who you'll work with:</b></p>
<ul>
<li>Our Enterprise Intelligence team, who has instrumented our manufacturing and R&amp;D data, steward our data lake, and design models.</li>
<li>Bioprocess and cellular‑biology engineers and manufacturing staff who will translate model outputs and visualizations into real‑world operations and interventions that boost cell growth, flavor, and yield.</li>
<li>Cross‑functional R&amp;D partners in analytics, product, and sensory science who rely on your insights to shape the next generation of cultivated meat.</li>
<li>Leaders across the whole organization who are eager for LLM‑driven data exploration, literature or document review, and workflow acceleration.</li>
</ul>
<p><b>Compensation: </b>$25/hr<br>
<br>
<b>Length of internship: </b>16 weeks<br>
<br>
<i>UPSIDE Foods is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Our company-wide mission is to create a product for everyone, so we are deeply committed to having teams and leaders that reflect this mission.</i></p></div>

AI Intern - Fall Start

Goodwill Industries

<p></p><div><p>June 2026</p><div></div><div><div><div><div>
TITLE:</div><div> Data Analytics Intern (Mission Data &amp; Grants)</div></div><br>
<div><div>
RESPONSIBLE TO:</div><div> Senior Manager, Mission and Sustainability Data</div></div><br>
<div><div>
DIVISION/DEPT:</div><div> Date Center of Excellence</div></div><br>
<div><div>
SUPERVISES:</div><div> N/A</div></div><br>
<div><div>
FLSA STATUS:</div><div> Non-Exempt</div></div></div></div><p></p><div><b><br>
SUMMARY: </b>Summer internship starting in June 2026, ending August 2026. The position can be worked full-time (40 hours per week) or part-time (20 hours per week). This internship is fully remote, though applicants from the Washington, DC area will have the opportunity to work from the Goodwill Industries International (GII) headquarters in Rockville, Maryland if desired. This internship pays $18.00 per hour.</div><div></div><div><br>
This role will support the Data Center of Excellence (Data COE) team across five key areas: documentation of data processes and reporting logic, exploratory data analysis beyond standard grant reporting, data pipeline and dashboard cleanup and maintenance, qualitative data capture from member research and surveys, and general research to support grant strategy and benchmarking. This intern will have the opportunity to work cross-functionally within GII and will gain experience in data documentation, analysis, dashboard development, and stakeholder engagement.</div><div></div><div><br>
Promising applicants will be able to demonstrate familiarity with data analysis and visualization by presenting a project that includes data cleaning, exploratory analysis, and visualization using tools such as Python, R, or Power BI from their academic or professional portfolio. Strong applicants will also demonstrate the ability to clearly document their analytical process, including how data is transformed, validated, and used to generate insights. Exceptional applicants will have experience working with both quantitative and qualitative data, such as survey results or interview feedback, and an ability to synthesize findings into clear, actionable insights for non-technical audiences.</div><p></p><p><b><br>
BASIC FUNCTION:</b></p><ul><li>
Create and maintain clear, standardized documentation of data processes, metric calculations, and reporting logic across multiple grant programs.</li><li>
Conduct exploratory data analysis to uncover insights beyond standard grant reporting, support data pipeline maintenance and Power BI dashboard updates, capture qualitative data from member organizations, and perform general research on industry benchmarks and peer organization practices.</li></ul><div><b>
SPECIFIC DUTIES</b><b>1</b><b>:</b></div><ul><li>
Draft and refine plain-language documentation of how metrics are calculated, data is cleaned, and reports are generated for grant programs.</li><li>
Develop step-by-step guides for updating and maintaining Power BI dashboards and grant reporting processes.</li><li>
Perform exploratory analysis on grant data (e.g., credential and placement outcomes, wage trends, training impact) and prepare summary findings for the team.</li><li>
Assist with data quality checks, including identifying duplicates, missing values, and inconsistencies across datasets.</li><li>
Support data pipeline tasks such as validating outputs, documenting code logic, and assisting with light cleanup of Python notebooks.</li><li>
Synthesize qualitative feedback and patterns from member meetings, surveys, and program interactions into structured summaries.</li><li>
Conduct landscape research on how peer organizations handle subgrantee data reporting, metric definitions, and data collection practices.</li><li>
Support preparation of materials for internal and external stakeholder meetings as needed.</li></ul><p></p><div><b><br>
RELATIONSHIPS:</b></div><p><b>
Internal:</b> Daily contact with GII team members to coordinate projects and support activities.</p><div><b>
Local </b><b>Goodwills</b><b>:</b> Some contact with representatives of Goodwill member organizations.</div><div></div><div><div><b><br>
SKILLS NEEDED</b><b>:</b></div><ul><li>
Strong oral and written communication skills required.</li><li>
Excellent time management and organization skills.</li><li>
Familiarity with Power BI or Tableau preferred.</li><li>
Demonstrated use of Python or R for data analysis and visualization projects.</li><li>
Strong writing skills with an ability to translate technical processes into clear, accessible documentation.</li><li>
Comfort working with both quantitative and qualitative data.</li><li>
Attention to detail and a commitment to data quality and accuracy.</li></ul><p></p><div><div><div><div><b><br>
EDUCATION:</b></div></div><div><div><br>
Graduate students studying data science, public policy, economics, social sciences, or other related fields are preferred, but undergraduate students in relevant fields with strong analytical skills are also considered.</div></div></div><div><div><div><b><br>
EXPERIENCE:</b></div></div><div><br>
<ul><li>
Academic or professional experience completing data projects involving data processing, analysis, and visualization.</li><li>
Experience presenting technical subjects to non-technical audiences.</li><li>
Some familiarity with tools and software commonly used for data analysis and visualization, such as Power BI, Tableau, Excel, R, or Python.</li><li>
Experience with technical or process documentation is a plus.</li><li>
Exposure to qualitative research methods (e.g., surveys, interviews, thematic analysis) is a plus.</li></ul></div></div><div><div><div><b><br>
DECISION MAKING:</b></div></div><div><p><br>
Decision and recommendation-making for developing systems, appropriate responses to identified needs, and consultative guidance to improve performance.</p></div></div><div><div><p><b><br>
SUPERVISION:</b></p></div><div><p><br>
Moderate with latitude given to the position in carrying out work assignments. Work is checked for accuracy and completeness.</p></div></div><div><div><p><b><br>
PHYSICAL EFFORT:</b></p></div><div><p><br>
Sedentary with lifting 10 pounds maximum and occasionally lifting and/or carrying such articles or files. Walking and standing are required occasionally; long hours sitting at a desk and using a computer.</p></div></div></div></div><p></p><p><b><br>
OUR VALUES</b></p><p>
We believe <i>everyone deserves an opportunity to thrive</i>. Goodwill&rsquo;s mission grounds us and happens through each one of us. This aspiration applies to each GII team member as much as to the people we serve. GII&rsquo;s organizational values guide all that we do; how we do our work and make decisions, and how we interact with each other, Goodwill members and all stakeholders.</p><p><b>
Our mission happens through me (Passion</b><b><i>)</i></b></p><p>
We have a fire for our mission. We bring our energy, creativity and passion to all that we do. By contributing the best of what is within each of us, we inspire the same in our peers, and multiply Goodwill&rsquo;s impact.</p><p><b>
Drive to make a difference (Impact)</b></p><p>
We believe that our work must lead to a measurable difference in the lives of the people Goodwill serves. We are committed to performance excellence in all that we do. Our strategy focuses our work to achieve that impact, and we say no to things that do not align.</p><p><b>
You before me (Respect)</b></p><p>
We treat all people with dignity, kindness, appreciation and respect. We are curious without judgment, and we actively listen to ensure mutual understanding. We give everyone a caring and safe place to share their opinions, their talents, and their questions. We build trust through direct, clear and transparent communication. We are open and humble.</p><p><b>
Thriving begins at home (Well-being)</b></p><p>
We respect the contributions and the needs of our individual team members equally, and we understand that each one of us needs different things at different times to thrive both in and out of the workplace. We strive to make genuine and continuous investments in one another and ourselves. As such, we adopt healthy, holistic approaches to our work. We proactively care for one another and ourselves by speaking up for what we need and supporting one another in achieving it.</p><p><b>
Out of many, One Goodwill </b><b><i>(Advancing our mission together)</i></b></p><p>
We embrace all people and perspectives as we advance Goodwill&rsquo;s mission to help people reach their full potential through the power of work. We acknowledge historical inequities still exist and are intentional in breaking barriers. We are committed to being part of the solutions, leaning into courageous conversations, and providing inclusive spaces and equal opportunities for real change in all of our endeavors. Our diversified reflection shall shine as <i>one</i> Goodwill.</p><p><b>
Be bold, learn and grow (Agility)</b></p><p>
We are open, creative, innovative, agile and willing to take risks. We operate with a sense of urgency, without rushing for the sake of speed. While we do our best to make good decisions, we embrace failure for the learning it affords and adapt quickly to move ahead. We are one unified team that succeeds and stumbles, and learns and grows together with humility and grace.</p></div>

Intern, Data Analytics-Mission Data & Grants

Sarmad

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 We are pleased to announce the opening of applications for our AI Summer Internship Program for undergraduate students interested in gaining practical experience in Artificial Intelligence and its real-world industry applications. Participants will have the opportunity to work with modern AI technologies and workflows while contributing to industry-oriented projects and solving practical business challenges.
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 Throughout the program, interns will gain hands-on experience in areas such as:
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   Agentic AI systems
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   Predictive modeling and machine learning
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   AI-driven solutions for practical business use cases
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   Emerging AI tools and industry trends
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  Internship Details
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   Duration: 1 month 2026 (July or August)
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   Program Timeline: The internship will run in two separate rounds during July and August 2026, where selected students will join one of the two batches
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   Compensation: This is an unpaid internship opportunity. This is an unpaid internship opportunity
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   Working Schedule: 5 days per week, 8 working hours per day
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   Days Off: Friday and Saturday
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   Work Format: Hybrid
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   Office Attendance: 2 working days per week from our office in Smart Village
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  Application Deadline: 18.06.2026
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  Requirements
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   Students majoring in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, or equivalent fields
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   Undergraduate students who have completed at least 6 semesters
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   Familiar with SQL and/or NoSQL databases
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   Have worked on at least one project related to Machine Learning or AI
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   Familiar with Python and common AI/ML libraries and tools (e.g., Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, or similar)
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   Exposure to Generative AI tools, APIs, or frameworks (e.g., OpenAI APIs, LangChain, LlamaIndex, Hugging Face, or similar) is a plus
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  Benefits
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 </strong>
 Why Join the Sarmad AI Summer Internship?
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   Work on real AI projects and gain hands-on experience with technologies such as Agentic AI, RAG systems, and machine learning
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   Research, design, and prototype AI solutions that address real-world business and fintech challenges, turning ideas into practical applications
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   Earn a Certificate of Completion upon successfully completing the internship and presenting your work to the evaluation committee
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</div>


AI Summer Internship Program - July or August 2026

Search 7374+ Data science intern jobs near you this June. New roles added regularly across leading industries. Apply today.