data scientist intern

Provation

<div>
 
 Job Summary
 
 
 
 The Data Scientist Intern supports the use of data, analytics, and machine learning to improve healthcare outcomes and operational efficiency within a healthcare SaaS environment. Under the guidance of experienced data scientists and cross‑functional partners, the intern will assist with analyzing datasets, building models, and generating insights that inform product, engineering, and business decisions. The role provides hands‑on exposure to real‑world healthcare data and applied data science practices.
 
 
 
 Key Responsibilities
 
 
 
 
 Foundational Data Science &amp; Analytics Skills
 
 
 
 <ul>
 <li>
 Assist with data exploration, cleaning, and preparation for analysis and modeling.
 </li>
 <li>
 Support development and evaluation of basic statistical or machine learning models under supervision.
 </li>
 <li>
 Apply foundational concepts in probability, statistics, and data analysis to assigned problems.
 
 
 </li>
 </ul>
 
 Data Engineering &amp; Tooling Awareness
 
 
 
 <ul>
 <li>
 Support data workflows that may include structured and unstructured datasets.
 </li>
 <li>
 Gain exposure to ETL concepts, data pipelines, and cloud‑based data environments.
 </li>
 <li>
 Assist with querying datasets using SQL and/or Python‑based tools.
 
 
 </li>
 </ul>
 
 AI Readiness &amp; Model Awareness
 
 
 
 <ul>
 <li>
 Develop familiarity with supervised and unsupervised learning concepts and how models are used in production systems.
 </li>
 <li>
 Support model validation, basic experimentation, or feature analysis as appropriate for intern‑level work.
 </li>
 <li>
 Build awareness of ethical AI principles such as data privacy, bias, and responsible use.
 
 
 </li>
 </ul>
 
 Data Visualization &amp; Communication
 
 
 
 <ul>
 <li>
 Help create basic visualizations, summaries, or dashboards to communicate findings.
 </li>
 <li>
 Translate analytical results into clear insights for technical and non‑technical stakeholders with guidance.
 </li>
 <li>
 Contribute to documentation of analyses, assumptions, and learnings.
 
 
 </li>
 </ul>
 
 Healthcare Domain &amp; Compliance Awareness
 
 
 
 <ul>
 <li>
 Build foundational understanding of healthcare data concepts and workflows.
 </li>
 <li>
 Follow team standards related to data privacy, security, and compliance (e.g., HIPAA awareness).
 </li>
 <li>
 Learn how healthcare data standards (e.g., HL7, FHIR) influence analytics and modeling work
 
 
 </li>
 </ul>
 
 Collaboration &amp; Learning
 
 
 
 <ul>
 <li>
 Collaborate with data scientists, engineers, and product partners as part of an agile team.
 </li>
 <li>
 Participate in team meetings, standups, and reviews as a learning experience.
 </li>
 <li>
 Demonstrate curiosity, willingness to learn, and openness to feedback
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 
 Education &amp; Experience
 
 
 
 <ul>
 <li>
 Currently pursuing a Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Graduating December 2026 or later.
 </li>
 <li>
 Academic, research, or project experience involving data analysis, statistics, or machine learning (coursework, capstone, or personal projects).
 </li>
 <li>
 Interest in healthcare, SaaS, analytics, or applied data science.
 
 
 </li>
 </ul>
 
 Other Preferred Knowledge, Skills, Abilities Or Certifications
 
 
 
 <ul>
 <li>
 Programming &amp; Analysis Tools: Python and/or R; basic SQL knowledge.
 </li>
 <li>
 Data &amp; ML Libraries: Exposure to pandas, NumPy, scikit‑learn, TensorFlow, or PyTorch (coursework acceptable).
 </li>
 <li>
 Visualization Tools: Familiarity with Tableau, Power BI, or Python visualization libraries (e.g., matplotlib, seaborn).
 </li>
 <li>
 Cloud Exposure: Awareness of AWS, Azure, or GCP data services is a plus.
 </li>
 <li>
 AI &amp; Ethics Awareness: Interest in responsible AI, data privacy, and bias mitigation.
 </li>
 <li>
 Communication: Ability to explain analytical findings clearly and concisely.
 
 
 </li>
 </ul>
 
 Fortive Corporation Overview
 
 
 
 Fortive's essential technology makes the world safer and more productive. We accelerate transformation in high-impact fields like workplace safety, build environments, and healthcare.
 
 
 We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission-critical solutions. We're a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care.
 
 
 We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.
 
 
 At Fortive, we believe in you. We believe in your potential&mdash;your ability to learn, grow, and make a difference.
 
 
 At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.
 
 
 At Fortive, we believe in growth. We're honest about what's working and what isn't, and we never stop improving and innovating.
 
 
 Fortive: For you, for us, for growth.
 
 
 
 About Provation
 
 
 
 Provation is a leading provider of healthcare software and SaaS solutions for clinical productivity, care coordination, quality reporting, and billing. Our purpose is to empower providers to deliver quality healthcare for all. Provation&rsquo;s comprehensive portfolio spans the entire patient encounter, from pre-procedure through post-procedure, with solutions for physician and nursing documentation (Provation&reg; MD, Provation&reg; Apex, MD-Reports, Provation&reg; endoPRO&reg;, and Provation&reg; MultiCaregiver), anesthesia documentation (#1 Best in KLAS Provation&reg; iPro), patient engagement, surgical care coordination, quality reporting, and billing capture (Provation&reg; SurgicalValet&trade;), order set and care plan management (Provation&reg; Order Set Advisor&trade; and Provation&reg; Care Plans), and EHR embedded clinical documentation (Provation&reg; Clinic Note). Provation has a loyal customer base, serving more than 5,000 hospitals, surgery centers, and medical offices, and 700 physician groups globally, including 19 of the top 20 U.S. hospitals. In 2021, Provation was acquired by Fortive Corporation, a Fortune 1000 company that builds essential technology and accelerates transformation in high-impact fields like workplace safety, engineering, and healthcare. For more information about our solutions, visit provationmedical.com and follow us on Twitter, Facebook, and LinkedIn. Our purpose at Provation is to empower providers to deliver quality healthcare for all. To deliver on this commitment, we&rsquo;re guided by our core values &ndash; Provation has a culture of CARES:Community - We have a shared sense of improving healthcare, enriching the broader world we live in and serve. Accountability - We own it and get it done with integrity. Respect - We build diverse teams that collaborate and communicate with positive intent and trust. Excellence - We welcome new ideas as we innovate quality solutions. Service - We are passionate about putting customers first.
 
 
 We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@fortive.com.
 
 
 
 Pay Range
 
 
 
 The hourly range for this position (in local currency) is $20-$40/hour.
 
 
 Provation is a leading provider of healthcare software and SaaS solutions for clinical productivity, care coordination, quality reporting, and billing. Our purpose is to empower providers to deliver quality healthcare for all. Provation&rsquo;s comprehensive portfolio spans the entire patient encounter, from pre-procedure through post-procedure, with solutions for physician and nursing documentation (Provation&reg; MD, Provation&reg; Apex, MD-Reports, Provation&reg; endoPRO&reg;, and Provation&reg; MultiCaregiver), anesthesia documentation (#1 Best in KLAS Provation&reg; iPro), patient engagement, surgical care coordination, quality reporting, and billing capture (Provation&reg; SurgicalValet&trade;), order set and care plan management (Provation&reg; Order Set Advisor&trade; and Provation&reg; Care Plans), and EHR embedded clinical documentation (Provation&reg; Clinic Note). Provation has a loyal customer base, serving more than 5,000 hospitals, surgery centers, and medical offices, and 700 physician groups globally, including 19 of the top 20 U.S. hospitals. In 2021, Provation was acquired by Fortive Corporation, a Fortune 1000 company that builds essential technology and accelerates transformation in high-impact fields like workplace safety, engineering, and healthcare. For more information about our solutions, visit provationmedical.com and follow us on Twitter, Facebook, and LinkedIn. Our purpose at Provation is to empower providers to deliver quality healthcare for all. To deliver on this commitment, we&rsquo;re guided by our core values &ndash; Provation has a culture of CARES:Community - We have a shared sense of improving healthcare, enriching the broader world we live in and serve. Accountability - We own it and get it done with integrity. Respect - We build diverse teams that collaborate and communicate with positive intent and trust. Excellence - We welcome new ideas as we innovate quality solutions. Service - We are passionate about putting customers first.
 
 
 We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@fortive.com.
 
 
 The hourly range for this position (in local currency) is $20-$40/hour.
</div>

Data Scientist Intern

Tinder

<div>
 
 
 Our Mission
 
 
 
 
 
 
 
 As humans, there are few things more exciting than meeting someone new. At Tinder, we&rsquo;re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive&mdash;and rapidly growing.
 
 
 
 
 
 
 
 We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.
 
 
 
 
 
 
 
 Program Duration
 
 
 
 
 The internship program will run from June 1 through August 28, 2026.
 
 
 
 
 
 
 
 Where you&rsquo;ll work
 
 
 
 
 This is a hybrid role that requires in-office collaboration three days per week in Los Angeles.
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 As a Data Scientist Intern at Tinder, you&rsquo;ll help us uncover insights from one of the world&rsquo;s largest datasets to enhance user experience, strengthen safety, and drive innovation across our platform. You&rsquo;ll work alongside talented engineers, data scientists, and product teams to solve real-world problems using data-driven approaches that shape the future of how people connect.
 
 
 
 
 
 
 
 What you'll do:
 
 <li>
 Explore and analyze large-scale datasets to identify patterns, trends, and opportunities
 </li>
 <li>
 Develop and evaluate machine learning models and/or LLMs that improve user experience and engagement
 </li>
 <li>
 Design and execute A/B experiments to measure the impact of product features and algorithmic changes
 </li>
 <li>
 Collaborate with cross-functional partners in Data Science, Product, and Engineering to translate insights into actionable strategies
 </li>
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 Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos
 </li>
 <li>
 Translate data insights into clear narratives and recommendations that inform product roadmaps and user experience improvements
 </li>
 <li>
 Participate in improving the team&rsquo;s tools and techniques for experiment reads, focusing on standardization, automation, and clear documentation
 </li>
 
 
 
 
 What we're looking for:
 
 <li>
 Passion for using data and experimentation to solve complex problems
 </li>
 <li>
 Intermediate to advanced SQL skills for data querying and analysis
 </li>
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 Familiarity with / building to proficiency in Python
 </li>
 <li>
 Strong foundation in statistics, probability, and machine learning fundamentals
 </li>
 <li>
 Understanding of data structures and algorithms
 </li>
 <li>
 Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field
 </li>
 
 
 
 
 
 
 
 Commitment to Inclusion
 
 
 
 
 
 
 
 At Tinder, we don&rsquo;t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don&rsquo;t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here:&nbsp;
 
 
 https://www.lifeattinder.com/dei
 
 
 
 
 
 
 
 If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
 
 
 
 
 
 
 
 #Tinder
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 
 The compensation range listed above is representative of the hourly rate offered.
 
 
 
 Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Los Angeles, California. This hourly rate will be subject to a geographic adjustment (according to a specific city, state, and country), if an authorization is granted to work outside of the location listed in this posting.
 
</div>

Plymouth Rock Assurance

<div>As a Data Scientist Intern/Data Science Engineer, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims.

This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience.

RESPONSIBILITIES
<ul>
<li>Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling.</li>
<li>Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks.</li>
<li>Help implement data quality checks, validation routines, and monitoring for automated data workflows.</li>
<li>Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices.</li>
<li>Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development.</li>
<li>Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake.</li>
<li>Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL.</li>
<li>Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets.</li>
<li>Participate in model development, including data profiling, model training, validation, and interpretation.</li>
<li>Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk.</li>
<li>Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value.</li>
<li>Collaborate with business leaders to translate insights into operational improvements and cost efficiencies.</li>
</ul>
QUALIFICATIONS
<ul>
<li>Currently pursuing or recently completed a Master's in Data Science, Computer Science, Statistics, Economics, or related field.</li>
<li>Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL.</li>
<li>Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment.</li>
<li>Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development.</li>
<li>Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred.</li>
<li>Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus.</li>
<li>Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects.</li>
<li>Strong analytical, communication, and problem-solving skills.</li>
<li>A self-starter mindset, with attention to detail and enthusiasm for learning new technologies.</li>
</ul>
SALARY RANGE

The pay range for this position is $35 hourly.

ABOUT THE COMPANY

The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of &ldquo;A-/Excellent&rdquo;.

#LI-DNI</div>

Data Scientist Intern/Data Science Engineer

GoodRx

<div>
 GoodRx is America&rsquo;s healthcare marketplace. Each month, millions of people visit goodrx.com to find reliable health information and discounts for their healthcare &mdash; and we&rsquo;ve helped people save $60 billion since 2011. We provide prescription discounts that are accepted at more than 70,000 pharmacies in the U.S., as well as telehealth services including doctor visits and lab tests. Our services have been positively reviewed by Good Morning America, The New York Times, NBC News, AARP, and many others.
 
 
 Our goal is to help Americans find convenient and affordable healthcare. We offer solutions for consumers, employers, health plans, and anyone else who shares our desire to provide affordable prescriptions to all Americans.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work with business owners and stakeholders to formulate hypotheses and help drive smarter decisions to deliver even better products and experiences.
 </li>
 <li>
 Design models, metrics, reports, and dashboards that help stakeholders better understand the user journey, monitor business health, and access data.
 </li>
 <li>
 Collaborate across multiple teams to understand business needs, analyze complex data, and clearly communicate recommendations
 </li>
 <li>
 Develop requirements, processes, and documentation for reporting on data-related projects
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Currently pursuing an undergraduate or graduate degree with technical exposure to data analysis with plans to return after completing this program.
 </li>
 <li>
 Working knowledge of SQL and Python
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Related coursework in healthcare and/or prior internship experience
 </li>
 <li>
 Working knowledge of common analytics tasks like cohort analysis, churn/lifetime value, and A/B testing
 </li>
 <li>
 Prior experience building data science/machine learning models in AWS Sagemaker, Databricks, or equivalent platform
 </li>
 <li>
 Prior experience using a business intelligence tool like Tableau or Looker and database technologies like Redshift and/or Athena/S3
 
 
 </li>
 </ul>
 We&rsquo;re committed to growing and empowering a more inclusive community within our company and industry. That&rsquo;s why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has a seat at the table and the tools, resources, and opportunities to excel.
 
 
 With that said, research shows that women and other underrepresented groups apply only if they meet 100% of the criteria. GoodRx is committed to leveling the playing field, and we encourage women, people of color, those in the LGBTQ+ communities, and Veterans to apply for positions even if they don&rsquo;t necessarily check every box outlined in the job description. Please still get in touch - we&rsquo;d love to connect and see if you could be good for the role!
 
 
 GoodRx is America's healthcare marketplace. The company offers the most comprehensive and accurate resource for affordable prescription medications in the U.S., gathering pricing information from thousands of pharmacies coast to coast, as well as a telehealth marketplace for online doctor visits and lab tests. Since 2011, Americans with and without health insurance have saved $60 billion using GoodRx and million consumers visit goodrx.com each month to find discounts and information related to their healthcare. GoodRx is the #1 most downloaded medical app on the iOS and Android app stores. For more information, visit www.goodrx.com.
 
 
 We prioritize candidate safety. Please be aware that all official communication will only be sent from
 
 @
 
 
 goodrx.com
 
 or
 
 goodrx@myworkday.com
 
 addresses.
</div>

Ascendis Pharma

<div>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.
Here at Ascendis, we pride ourselves on exceptional science, visionary leadership, and skilled and passionate colleagues.
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.
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.
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.
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.
Key Responsibilities<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>
Learning and Development Opportunities<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> 

Requirements 
<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>
Preferred Qualifications<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>
Work Environment<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>
This internship will pay $30-38/hr. depending on your years of education completed. 
Benefits 
<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>

Data Science Summer Intern - DSSI

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models and speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you! 
 
We are looking for students interested in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems. 
 
You can find more information about the Amazon Science community as well as our interview process via the links below; 
 
https://www.amazon.science/ 
 
https://amazon.jobs/content/en/career-programs/university/science 
 
https://amazon.jobs/content/en/how-we-hire/university-roles/applied-science 
 
Key job responsibilities 
As an Applied Science Intern, you will own the design and development of end-to-end systems. You&rsquo;ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science. 
 
You will work closely with Amazon scientists and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon&rsquo;s customer focused culture. 
 
The ideal intern must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
 
 
A day in the life 
At Amazon, you will grow into the high impact person you know you&rsquo;re ready to be. Every day will be filled with developing new skills and achieving personal growth. 
 
How often can you say that your work changes the world? At Amazon, you&rsquo;ll say it often. Join us and define tomorrow. 
 
Some more benefits of an Amazon Science internship include; 
 
<ul><li>All of our internships offer a competitive stipend/salary</li><li>Interns are paired with an experienced manager and mentor(s)</li><li>Interns receive invitations to different events such as intern program initiatives or site events</li><li>Interns can build their professional and personal network with other Amazon Scientists</li><li>Interns can potentially publish work at top tier conferences each year</li></ul> 
About the team 
Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews. 
 
Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships. 
 
This role may available across multiple locations in the EMEA region (Austria, Estonia, France, Germany, Ireland, Israel, Italy, Jordan, Luxembourg, Netherlands, Poland, Romania, Spain, South Africa, UAE, and UK). 
 
Please note these are not remote internships.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience programming in Java, C++, Python or related language</li><li>Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Have publications at top-tier peer-reviewed conferences or journals</li><li>Experience implementing algorithms using toolkits and self-developed code</li><li>Experience in solving business problems through machine learning, data mining and statistical algorithms</li></ul> 
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.</div>

2026 Applied Scientist Intern, Amazon University Talent Acquisition

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2026 Applied Scientist Intern, Amazon University Talent Acquisition

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