data science intern

Johnson & Johnson Innovative Medicine

<div>
 At Johnson &amp; Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com
 
 
 As guided by Our Credo, Johnson &amp; Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson &amp; Johnson, we respect the diversity and dignity of our employees and recognize their merit.
 
 
 
 Job Function
 
 
 
 Career Programs
 
 
 
 Job Sub Function
 
 
 
 Non-LDP Intern/Co-Op
 
 
 
 Job Category
 
 
 
 Career Program
 
 
 
 All Job Posting Locations:
 
 
 
 Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America
 
 
 
 Job Description
 
 
 
 
 About Innovative Medicine
 
 
 
 Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
 
 
 Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine
 
 
 <ul>
 <li>
 The Data Science Intern term is from May to August, 2026.
 </li>
 <li>
 Full time requirement (40 hours per week).
 
 
 </li>
 </ul>
 
 Purpose
 
 
 
 We are seeking a
 
 highly motivated and innovative Data Science Intern
 
 to support research and development initiatives focused on
 
 foundation models for biologics manufacturing
 
 . This internship offers a unique opportunity to work closely with our
 
 AI/ML and DPDS teams
 
 to develop novel modeling approaches, evaluate benchmarks, and translate advanced analytics into real world impact.
 
 
 By contributing to next generation AI/ML methodologies, this role will help improve
 
 drug manufacturing robustness, process understanding, and supply chain decision making
 
 .
 
 
 
 You will be responsible
 
 
 
 <ul>
 <li>
 Collaborate with AI/ML scientists and domain experts to develop and evaluate foundation models for biologics manufacturing data.
 </li>
 <li>
 Translate manufacturing and supply chain use cases into modeling objectives, benchmarks, and evaluation strategies.
 </li>
 <li>
 Analyze large scale, high dimensional process and analytical datasets to uncover patterns and insights.
 </li>
 <li>
 Present analytical findings and model outcomes to cross functional stakeholders, clearly connecting results to project goals.
 </li>
 <li>
 Contribute to technical reports, white papers, and publications targeting high impact conferences and/or journals.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Completion of Undergraduate Freshman year at an accredited University is required.
 </li>
 <li>
 Currently pursuing a Ph.D. in Computer Science, Statistics, Applied Mathematics, Computational Biology, Chemical Engineering, or a related field.
 </li>
 <li>
 Have a cumulative GPA of 2.8 or higher, which is reflective of all college coursework.
 </li>
 <li>
 Strong hands on experience in AI/ML research, including representation learning, deep learning, or foundation models.
 </li>
 <li>
 Proficiency in Python and common AI/ML libraries (e.g., PyTorch, TensorFlow, JAX, scikit learn).
 </li>
 <li>
 Familiarity with large scale, noisy, or time series data; experience with manufacturing, biological, or multimodal data is a plus.
 </li>
 <li>
 Strong written and verbal communication skills, with the ability to collaborate effectively in cross functional research teams
 
 
 </li>
 </ul>
 Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.
 
 
 The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company&rsquo;s consolidated retirement plan (pension).
 
 
 For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits. This job posting is anticipated to close on [03/25/2026]. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.
 
 
 Ineligibility for severance.
 
 
 Johnson &amp; Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
 
 
 Johnson &amp; Johnson is committed to providing an interview process that is inclusive of our applicants&rsquo; needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.
 
 
 
 Required Skills
 
 
 
 
 Preferred Skills:
 
 
 
 
 The anticipated base pay range for this position is :
 
 
 
 $23.00/hr to $51.50/hr
 
 
 
 Additional Description For Pay Transparency
 
 
 
 The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company&rsquo;s consolidated retirement plan (pension). For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits This job posting is anticipated to close on [7/31/2026]. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.
 
 
</div>

Data Science Intern

Johnson & Johnson

<div>At Johnson &amp; Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com
As guided by Our Credo, Johnson &amp; Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson &amp; Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function:
Career Programs
Job Sub Function:
Non-LDP Intern/Co-Op
Job Category:
Career Program
All Job Posting Locations:
Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America
Job Description:<h3 class="jobSectionHeader">
About Innovative Medicine
</h3>Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine
<ul><li>The Data Science Intern term is from May to August, 2026.</li><li>
Full time requirement (40 hours per week).</li></ul><h3 class="jobSectionHeader">
Purpose:</h3>
We are seeking a highly motivated and innovative Data Science Intern to support research and development initiatives focused on foundation models for biologics manufacturing. This internship offers a unique opportunity to work closely with our AI/ML and DPDS teams to develop novel modeling approaches, evaluate benchmarks, and translate advanced analytics into real world impact.
By contributing to next generation AI/ML methodologies, this role will help improve drug manufacturing robustness, process understanding, and supply chain decision making.<h3 class="jobSectionHeader">
You will be responsible</h3><ul><li>
Collaborate with AI/ML scientists and domain experts to develop and evaluate foundation models for biologics manufacturing data.</li><li>
Translate manufacturing and supply chain use cases into modeling objectives, benchmarks, and evaluation strategies.</li><li>
Analyze large scale, high dimensional process and analytical datasets to uncover patterns and insights.</li><li>
Present analytical findings and model outcomes to cross functional stakeholders, clearly connecting results to project goals.</li><li>
Contribute to technical reports, white papers, and publications targeting high impact conferences and/or journals.</li></ul><h3 class="jobSectionHeader">
Requirements:</h3><ul><li>
Completion of Undergraduate Freshman year at an accredited University is required.</li><li>
Currently pursuing a Ph.D. in Computer Science, Statistics, Applied Mathematics, Computational Biology, Chemical Engineering, or a related field.</li><li>
Have a cumulative GPA of 2.8 or higher, which is reflective of all college coursework.</li><li>
Strong hands on experience in AI/ML research, including representation learning, deep learning, or foundation models.</li><li>
Proficiency in Python and common AI/ML libraries (e.g., PyTorch, TensorFlow, JAX, scikit learn).</li><li>
Familiarity with large scale, noisy, or time series data; experience with manufacturing, biological, or multimodal data is a plus.</li><li>
Strong written and verbal communication skills, with the ability to collaborate effectively in cross functional research teams</li></ul>
Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.
The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company&rsquo;s consolidated retirement plan (pension).
For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits. This job posting is anticipated to close on [03/25/2026]. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.
Ineligibility for severance.
Johnson &amp; Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson &amp; Johnson is committed to providing an interview process that is inclusive of our applicants&rsquo; needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.<h3 class="jobSectionHeader">
#LI-Hybrid</h3>
Required Skills:
Preferred Skills:
The anticipated base pay range for this position is :
$23.00/hr to $51.50/hr
Additional Description for Pay Transparency:
The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company&rsquo;s consolidated retirement plan (pension). For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits This job posting is anticipated to close on [7/31/2026]. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.</div>

Accuray

<div>
 
 Give hope. Give health. Make your mark in the fight against cancer.
 
 
 
 At Accuray, we make a direct and powerful impact on the lives of cancer patients every day &mdash; helping them live longer, better lives. But our commitment to innovation offers a truly unique opportunity: the chance to change the fight against cancer &mdash; helping to develop, introduce and support new treatment delivery systems and software that will give new hope and new health to cancer patients and cancer survivors around the world.
 
 
 Accuray develops, manufactures and sells radiotherapy systems for alternative cancer treatments. Our radiation therapy for cancer makes treatment shorter, safer, personalized and more effective, ultimately enabling patients to live longer, better lives.
 
 
 
 Job Description
 
 
 
 As a Data Science Intern, you will develop applied statistical modeling and predictive analytics tools that support decision-making across Accuray&rsquo;s Global Service organization. This will include problem definition, exploratory data analysis, feature engineering, and model evaluation, with the goal of delivering a proof-of-concept model and operational framework by the end of the summer. This position will be based onsite at our headquarters in Madison, WI. The target start date for this role is Summer 2026 and has potential to be extended part-time into the 2026-2027 academic year.
 
 
 
 Essential Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Define, research, and document business problems from the current development portfolio, performing exploratory data analysis as needed.
 </li>
 <li>
 Perform feature engineering.
 </li>
 <li>
 Select, develop, and prepare to operationalize predictive modeling tools.
 </li>
 <li>
 Evaluate, recommend, and validate proposed models.
 </li>
 <li>
 Document developed solutions and prepare communication appropriate to diverse stakeholder groups.
 </li>
 <li>
 Support ad-hoc data analysis requests from across the company.
 
 
 
 </li>
 </ul>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 Personal Excellence
 </li>
 <li>
 Proactively conveys appropriate information in a timely manner and useful format.
 </li>
 <li>
 Communicates effectively using verbal discussion, short-form writing, long-form technical documentation, and visual design.
 </li>
 <li>
 Actively listens.
 </li>
 <li>
 Acts with integrity and considers the ethical implications of proposed solutions.
 </li>
 <li>
 Conducts themself with a professional bearing, investing time to show care and respect to peers.
 </li>
 <li>
 Positive attitude and willingness to expand skillset and scope of work.
 </li>
 <li>
 Teamwork
 </li>
 <li>
 Meets or exceeds individual goals and commitments.
 </li>
 <li>
 Collaboratives to solve problems.
 </li>
 <li>
 Balances grit and determination in independent problem-solving with a sense of when to proactively escalate for additional support.
 </li>
 <li>
 Is responsive and acts with speed, conviction and a sense of urgency when required.
 </li>
 <li>
 Demonstrates enthusiasm and a willingness to take on new challenges, responsibilities, and assignments.
 </li>
 <li>
 Drive for Results
 </li>
 <li>
 Understands how own role contributes to the overall success of the organization.
 </li>
 <li>
 Effectively prioritizes effort on the highest priority goals and objectives.
 </li>
 <li>
 Demonstrates problem-solving ability with an emphasis on identifying root causes.
 </li>
 <li>
 Advocates for innovative ideas by continuously challenging the status quo and suggesting process improvements.
 </li>
 <li>
 Leverages defined processes and seeks appropriate guidance to reach good decisions.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required
 
 :
 
 
 <ul>
 <li>
 Pursuing a bachelor's or advanced degree in Data Science, Statistics, Applied Mathematics, Computer Science, or similar from an accredited college or university
 </li>
 <li>
 Sophomore, Junior, Senior, or graduate-level student in good academic standing
 </li>
 <li>
 Demonstrated ability to manage time and priorities over projects that span multiple months
 </li>
 <li>
 Solid background in statistics and data analysis
 </li>
 <li>
 Familiarity with Python, R, or another language for data manipulation, including common libraries and add-ons such as pandas and scikit-learn
 </li>
 <li>
 Excellent critical thinking skills and attention to detail
 </li>
 <li>
 Effective communication skills and ability to work in a collaborative team environment
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Coursework or projects related to predictive modeling, machine learning, or AI development.
 </li>
 <li>
 Proficiency in SQL.
 </li>
 <li>
 Familiarity with cloud-based database technologies (e.g., Databricks, Snowflake, InfluxDB)
 </li>
 <li>
 Previous internship or project experience involving analysis of real-world data.
 </li>
 <li>
 Foundational understanding of business concepts
 
 
 
 </li>
 </ul>
 WORKING CONDITIONS
 
 
 <ul>
 <li>
 At least 60% of time to be spent at Madison campus with some flexibility for remote working days.
 </li>
 <li>
 May require some light travel to support field shadowing or training opportunities.
 
 
 
 </li>
 </ul>
 
 To qualify for this position, candidates must be able to furnish proof that they are authorized to work in the country they are applying on a permanent basis without sponsorship.
 
 
 
 
 EEO Statement
 
 
 
 At Accuray, our commitment to patient-first outcomes drives an inclusive and collaborative work environment where the best ideas rise to the top &mdash; and everyone works to push them further. We value diversity in both the professional and personal backgrounds of our employees, as this variety adds rich energy to every team, every project and every work day. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin &ndash; including individuals with disabilities and veterans.
</div>

Veolia

<div>
 
 Company Description
 
 
 
 
 About Veolia North America
 
 
 
 Veolia in North America is the top-ranked environmental company in the United States for three consecutive years, and the country&rsquo;s largest private water operator and technology provider as well as hazardous waste and pollution treatment leader. It offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting and resource recovery. Veolia helps commercial, industrial, healthcare, higher education and municipality customers throughout North America. Headquartered in Boston, Veolia has more than 10,000 employees working at more than 350 locations across North America.
 
 
 
 Job Description
 
 
 
 
 Position Purpose:
 
 
 
 Veolia's Hubgrade provides energy data analytics to various commercial and industrial clients. SIB's team of analysts and engineers develop applications and dashboards to analyze customers' energy data performance.
 
 
 
 Primary Duties/Responsibilities:
 
 
 
 <ul>
 <li>
 Analyze building performance data.
 </li>
 <li>
 Develop predictive analytics models relating to energy performance.
 </li>
 <li>
 Build and be responsible for applications related to engineering calculations like Tableau reports and dashboards.
 </li>
 <li>
 Automate manual functions.
 </li>
 <li>
 Coordinate with Business Solutions team developers on API deployment, UI development, Data Quality Issues, etc.
 </li>
 <li>
 Observe and analyze building energy trends.
 </li>
 <li>
 Assist in streamlining existing processes.
 
 
 </li>
 </ul>
 Qualifications
 
 
 
 Education/Experience/Background:
 
 
 
 <ul>
 <li>
 Currently studying for a BS in Data Analytics, Data Science, Engineering, or Computer Science.
 
 
 </li>
 </ul>
 
 Knowledge/Skills/Abilities:
 
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Strong oral and written communication skills.
 </li>
 <li>
 Self-motivated and able to drive projects.
 </li>
 <li>
 Proficiency in Python is required.
 </li>
 <li>
 Knowledge of Power BI and Tableau is preferred.
 </li>
 <li>
 Strong interest in data science, energy, and buildings.
 
 
 </li>
 </ul>
 Additional Information
 
 
 
 Pay Range
 
 : $20.00 to $25.00 Per Hour
 
 
 
 Benefits:
 
 Interns are considered temporary employees. Medical and basic life insurance coverage is available to temporary employees scheduled to work 20 or more hours per week immediately following 60 days of service. Employees must elect or waive medical coverage within 45 days of their eligibility date.
 
 
 
 Veolia observes 11 holidays.
 
 
 
 We are an Equal Opportunity Employer! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
 
 
 Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law.
</div>

NASDAQ

<div>About Our Internship Program 
 
Nasdaq&rsquo;s Internship Program is a 10-week summer experience designed to give students real exposure to how global markets and technology come together. Our interns work on meaningful projects alongside Nasdaq teams, gaining hands-on skills that make an impact on the business. 
 
We believe the best way to learn is by doing &mdash; that&rsquo;s why you&rsquo;ll be paired with a mentor, connected with senior leaders, and included in professional development sessions. You&rsquo;ll also join a diverse global intern community, sharing experiences and building networks that last beyond the program. 
 
Our goal is to provide a supportive, engaging, and fun environment where your work feels valued and your growth comes first. Check out our Nasdaq Internship Program page to learn more and hear directly from past interns about their journeys.<div></div><div>
We are seeking a motivated and curious Data Science Summer Intern to join our team and contribute to impactful, data-driven projects. In this role, you will work alongside an experienced Research &amp; Development team to analyze large datasets, build predictive models, and develop actionable insights using tools such as Python, R, or SQL. This is an excellent opportunity for a student pursuing a degree in Data Science, Statistics, Computer Science, or a related field to gain hands-on experience in a fast-paced, collaborative environment.</div><div></div><div> 
At Nasdaq, you&rsquo;ll have the chance to start your career in an environment where learning, teamwork, and innovation come first. In this role, you&rsquo;ll support [team/business area] and gain hands-on experience with [specific products/projects/clients].</div><div></div><div> 
You don&rsquo;t need to know everything on day one &mdash; we&rsquo;ll help you build the skills, confidence, and network to grow your career.</div><div></div><div>
What You&rsquo;ll Do</div><div></div><ul><li> 
 Support the R&amp;D team with day-to-day analytical tasks and contribute to ongoing modeling and research initiatives</li><li> Learn how to build, validate, and deploy machine learning models using industry-standard tools such as Python, SQL, and cloud-based platforms.</li><li> Collaborate with teammates across Product, Sales and Data Operations to deliver end-to-end data solutions.</li><li> Bring your ideas and curiosity to real-world problem-solving by exploring datasets, identifying trends, and presenting findings to stakeholders</li><li> Develop your technical and professional skills through hands-on project work, code reviews, and mentorship from experienced data scientists.</li></ul><div></div><div> 
What You&rsquo;ll Bring</div><div></div><ul><li> 
 Currently pursuing a degree in Data Science, Statistics, Computer Science, or a related quantitative field.</li><li> Foundational knowledge of programming languages such as SQL, Python or R, with exposure to data manipulation, Large Language Models and exploratory data analysis</li><li> Eagerness to learn, ask questions, and apply academic knowledge to real-world data challenges in a professional setting</li><li> Ability to think analytically and communicate findings clearly to both technical and non-technical audiences.</li><li> Curiosity about machine learning, artificial intelligence, and the role of data in driving business decisions.</li></ul><div></div><div>
Nice-to-Have</div><div></div><ul><li> 
 Project experience related to data science, machine learning, or statistical analysis, such as academic research, data competitions, or personal data projects.</li><li> Involvement in student organizations, hackathons, volunteering, or leadership roles that demonstrate initiative, teamwork, and a passion for data and technology</li><li> Familiarity with specific tools or technologies such as PowerBI, Snowflake, Databricks, Fabric, AWS</li></ul><div></div><div>
This position will be located in Atlanta and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.</div><div></div><div>
Come as You Are</div><div></div><div>
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.</div><div></div><div>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.</div></div><div></div>

Data Science Intern - 2026 Summer Intern

Nasuni

<div>Data Science Summer Intern &ndash; Customer Experience (AI &amp; Proactive Customer Health and Insights)

Location: Boston Seaport or Marlborough, MA (Hybrid &ndash; 3 days/week onsite)

Duration: June 1, 2026 &ndash; August 7, 2026 (10 weeks)

Compensation: Hourly paid internship

Role Overview:

Nasuni is seeking a Data Science Summer Intern to join our Customer Experience (CX) organization. This role is designed for a Master's-level student who is passionate about applying artificial intelligence and machine learning to real-world business challenges within a SaaS environment.

This is a highly hands-on internship focused on building real solutions rather than passive research. The intern will analyze complex customer datasets, develop predictive models, and help design proactive frameworks that improve customer health, retention, and expansion opportunities. Working closely with Customer Success leadership, Operations, and cross-functional teams, the intern will help transform customer data into intelligent insights that drive measurable business outcomes. This role offers exposure to modern AI techniques, customer analytics, and enterprise-scale SaaS data environments.

Key Responsibilities:
<ul>
<li>Develop predictive models to identify customer health risks, churn likelihood, and expansion opportunities.</li>
<li>Analyze customer product usage, engagement metrics, and support data to identify early indicators of customer risk or growth potential.</li>
<li>Design and test AI-driven frameworks for proactive customer health management.</li>
<li>Build and refine customer health scoring methodologies using statistical analysis and machine learning techniques.</li>
<li>Explore NLP and large language model (LLM) applications to extract insights from unstructured data sources such as support cases, internal notes, and customer communications.</li>
<li>Conduct exploratory data analysis to uncover behavioral trends, usage patterns, and drivers of customer success.</li>
<li>Create visualizations, dashboards, and reports that communicate findings clearly to business leaders and CX stakeholders.</li>
<li>Present insights, models, and actionable recommendations to the Customer Experience organization at the conclusion of the internship.</li>
</ul>
Required Qualifications:
<ul>
<li>Currently enrolled in a Master's program in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field.</li>
<li>Strong foundation in machine learning, predictive modeling, and statistical analysis.</li>
<li>Proficiency in Python with experience using libraries such as pandas, NumPy, and scikit-learn.</li>
<li>Working knowledge of SQL for querying, transforming, and analyzing structured datasets.</li>
<li>Ability to communicate complex analytical insights clearly and work effectively in a fast-paced, collaborative environment.</li>
</ul>
Additional Qualifications:
<ul>
<li>Experience with customer analytics, churn modeling, or customer health scoring frameworks.</li>
<li>Exposure to NLP, LLMs, or generative AI applications.</li>
<li>Familiarity with BI or visualization tools such as Tableau, and experience working with cloud environments (AWS preferred).</li>
</ul>
About Nasuni

Nasuni is the unstructured data foundation for enterprise teams&mdash;and the AI that supports them. We manage, protect, and activate the world's unstructured data so organizations can work smarter, spend wisely, and create safely without limits. Our AI-ready platform helps enterprises modernize file infrastructure&mdash;supporting secure collaboration, resilience, and intelligent automation across global environments.

Why Work at Nasuni (Boston)

Based in the Greater Boston area, Nasuni brings together teams building modern cloud and data infrastructure used by enterprises worldwide. In our Boston roles, you'll collaborate closely with cross-functional partners to ship meaningful product and customer outcomes. If you value ownership, practical problem-solving, and contributing to high-impact work inside a growing SaaS company, you'll find strong mentorship and real responsibility here.

As an hourly summer intern, you'll gain:
<ul>
<li>Structured onboarding and mentorship</li>
<li>Hands-on project ownership</li>
<li>Exposure to enterprise marketing and communications programs</li>
<li>Networking opportunities across departments</li>
<li>A collaborative Boston Seaport office environment</li></ul> 


Compensation Transparency:

In accordance with U.S. pay transparency laws, Nasuni is committed to providing visibility into compensation for all U.S.-based roles. Click HERE to view our compensation ranges by job grade. Actual compensation will be based on a variety of factors, including a candidate's experience, skills, education, and work location.

To all recruitment agencies: Nasuni does not accept agency resumes. Please do not forward resumes to our job boards, Nasuni employees or any other company location. Nasuni is not responsible for any fees related to unsolicited resumes.

Nasuni is an equal opportunity employer. The equal employment opportunity policy at Nasuni protects employees and job applicants from discrimination on the bases of race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors. These protections extend to all management practices and decisions, including recruitment and hiring practices, appraisal systems, promotions, and training and career development programs.<div> 
This privacy notice relates to information collected (whether online or offline) by Nasuni Corporation and our corporate affiliates (collectively, &quot;Nasuni&quot;) from or about you in your capacity as a Nasuni employee, independent contractor/service provider or as an applicant for an employment or contractor relationship with Nasuni.</div></div>

Data Science Intern - SaaS Customer Experience Analytics

Webtronix

Job Description: Webtronix islooking for motivated and enthusiastic interns who are interested in building a career in SEO and Data Science. This internship is ideal for fresh graduates or candidates with basic knowledge of SEO, analytics, or data analysis.Interns will gain hands-on experience working with real projects, learning practical digital marketing strategies, and understanding data-driven decision-making.Responsibilities:<ul><li>Assist the SEO team with keyword research and competitor analysis.</li><li>Support On-Page SEO and basic content optimization tasks.</li><li>Help analyze website traffic and performance data.</li><li>Assist in preparing reports using analytics tools.</li><li>Work with the marketing team on research and data insights.</li><li>Learn and apply basic SEO and data analysis techniques.</li></ul>Required Skills:<ul><li>Basic knowledge of Search Engine Optimization (SEO).</li><li>Interest in data analysis or data science concepts.</li><li>Familiarity with Microsoft Excel or Google Sheets.</li><li>Basic understanding of Google Analytics or Google Search Console is a plus.</li><li>Strong analytical thinking and willingness to learn.</li><li>Good communication and teamwork skills.</li></ul>Eligibility:<ul><li>Fresh graduates in Computer Science, Data Science, IT, Marketing, or related fields.</li><li>Candidates with basic SEO or data analysis knowledge will be preferred.</li><li>Passion for digital marketing, analytics, and technology.</li></ul>Location: Gulberg GreensJob Type: Full-timePay: Rs10,000.00 - Rs20,000.00 per monthEducation:<ul><li>Master's (Required)</li></ul>Location:<ul><li>Islamabad (Required)</li></ul>Work Location: In person

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