data science intern

Cinemark

<div><p><b>Join Our Team:</b>
</p><p>As part of our Cinemark Universe, you will immerse yourself in a fun and fast-paced environment that offers rewarding learning experiences. With 500+ theatres and nearly 6,000 screens; we're truly a global presence of 20,000 movie lovers working together to make unforgettable experiences.
</p><p></p><p><b>2026 Summer Internship Program:</b>
<br>
Are you ready to launch your career in entertainment and make a real impact? Cinemark&rsquo;s Corporate Internship Program is your gateway to hands-on experience, professional development, and meaningful connections &ndash; all from our dynamic and inclusive corporate office. Join us for the 2026 Summer Internship, taking place June 1st to August 7th at Cinemark&rsquo;s Service Center in Plano, TX.</p><p></p><p><b>
What&rsquo;s in it for you?</b>
</p><ul><li><p><i>Meaningful Contributions:</i> You&rsquo;ll work on impactful projects that align with real business goals, giving you the opportunity to make a visible difference. You&rsquo;ll gain hands-on experience and exposure to the inner workings of a publicly traded company with a global footprint.
</p></li><li><p><i>Mentorship &amp; Support:</i> You will be paired with a dedicated peer coach to guide your development and help you navigate the experience.
</p></li><li><p><i>Executive Exposure:</i> The program culminates in a final presentation to Cinemark&rsquo;s executive leadership &ndash; your chance to showcase your work and insights to key decision-makers.
</p></li><li><p><i>Fun &amp; Engaging Events:</i> Build lasting connections through social activities, development workshops, and exclusive opportunities to engage with senior leaders.
</p></li><li><p><i>Full-Time Immersion:</i> A 40-hour workweek during standard business hours gives you a true feel for a professional work environment.
</p></li><li><p><i>Hybrid Flexibility:</i> Enjoy a hybrid schedule with 3 days onsite and 2 days remote, designed to balance collaboration and flexibility.
</p></li><li><p><i>Competitive Pay:</i> Earn a competitive hourly wage while gaining valuable industry experience and professional development.</p></li></ul><p></p><p><b>
The role of a Data Science Intern:</b></p><p>
We&rsquo;re hiring two curious, data‑driven Pricing &amp; Data Science Interns to help unlock insights and shape smarter pricing decisions. You&rsquo;ll dive into real datasets, contribute to pricing strategy, support operational execution, and sharpen competitive intelligence &ndash; partnering with peer coaches and cross‑functional teams across Admission Tickets Pricing, Food &amp; Beverage Pricing, and Competitive Intelligence.</p><p></p><p><b>
Responsibilities:</b></p><ul><li>
Gather, clean, and preprocess data from multiple sources.</li><li>
Analyze trends and correlate performance with market and demographic drivers.</li><li>
Assist with scripting/ automation /operation workflow to reduce manual effort and improve reliability.</li><li>
Support AI automation via data preparation, prototyping, QA, and data collection</li><li>
Create dashboards in Power BI to visualize trends, KPIs, and insights.</li><li>
Prepare concise summaries and recommendations for stakeholders.</li></ul><p></p><p><b>
Requirements:</b>
</p><ul><li>Current Junior or Senior pursuing a degree in Data Science, Computer Science, Statistics, Economics, Business, Engineering, or a related field at an accredited university.</li><li>
Strong analytical and problem-solving skills; curiosity and willingness to learn.</li><li>
Basic knowledge of data analysis tools, including Power BI, Python, SQL, and Excel.</li><li>
Exposure to LLMs/ GenAI, prompt engineering, or model evaluation a nice-to-have.</li><li>
Strong communication and presentation skills.</li><li>
Ability to work independently and as part of a team.</li></ul><p></p><p><b>
Here&rsquo;s what our 2025 Interns had to say:</b>
</p><ul><li><p>&quot;Through this internship, over the past ten weeks, I have been fortunate to experience incredible opportunities to grow both professionally and personally. I worked alongside outstanding people and gained valuable technical skills that I will carry throughout my career. I&rsquo;m leaving this summer with lasting memories, meaningful relationships, and excitement for what comes next.&rdquo; Cason Wetherill, Food &amp; Beverage Inventory Intern
</p></li></ul><p></p><ul><li><p>&ldquo;Over the past couple of months, I&rsquo;ve grown tremendously&mdash;developing both technical and soft skills&mdash;while working in such a fun, welcoming, and enriching environment that truly made all the difference. I&rsquo;m beyond grateful for the friendships built along the way and the memories I&rsquo;ll carry forward. It&rsquo;s safe to say that during my time here, I&rsquo;ve watched more movies and eaten more popcorn than ever before&mdash;definitely the best &ldquo;work perks&rdquo; I could ask for.&rdquo; Nicole Perdomo, Corporate Finance Intern
</p></li></ul><p></p><ul><li><p>&ldquo;This internship has been one of the best professional development opportunities of my life. I&rsquo;ve met some incredible people here, done some great work for my team, and learned a number of valuable skills. There&rsquo;s more complexity to the movie distribution business than many people know- but Cinemark is a shining example of how to do it right. Many thanks for the good people of Cinemark for providing this absolutely CINEMATIC opportunity!&rdquo; Stephan Norquist, Data Science Intern</p></li></ul><p></p><p><i>
DISCLAIMER: This job description is intended only as a general guideline of your duties and responsibilities at Cinemark and is not a legally binding contract. Cinemark reserves the right to amend, change or terminate the job description, as it deems appropriate. Any change amendments, or modifications may be implemented even though they have not been communicated, reprinted or substituted in this job description.</i></p><p></p><p><i><br>
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</i></p><p></p><p><b><br>
Cinemark is an Equal Opportunity Employer</b></p></div><p></p>

Data Science Intern

<div></div><div><div>Are you a curious, analytical student eager to apply your data science skills to real-world challenges at scale? Are you interested in building machine learning models, working with large datasets, and contributing to innovative AI projects that drive meaningful business impact?</div><div></div><div><br>
If so, we&rsquo;d love to meet you.</div><div></div><div><br>
XPO is a leading freight transportation provider with 39,000 employees across North America and Europe &mdash; and we&rsquo;re also a company where advanced analytics, machine learning, and emerging AI technologies are transforming how freight moves every day.</div><div></div><div><br>
We are seeking a Data Science and AI Intern to join our team for a hands-on, high-impact experience from mid-May through the end of the summer. Interns at XPO are embedded in real project work, paired with experienced mentors, and given exposure to cutting-edge initiatives across our data science and technology organization.</div><div></div><div><br>
This is an exciting opportunity for students who want to sharpen their technical skills while solving complex problems in an innovative, fast-paced environment.</div><div></div><div><br>
This role is largely in-person and includes training and development through XPO&rsquo;s official internship program.</div><div><br>
</div><div>Compensation: This will be a paid, hourly position.</div><div></div><div><br>
Duration: 12-weeks (mid-May through August)</div><div></div><div><b><br>
What you&rsquo;ll need to succeed as a Data Science Intern at XPO</b><br>
Minimum qualifications:</div><ul><li>
High school diploma or equivalent and currently pursuing a bachelor&rsquo;s degree</li><li>
2 or more years of relevant undergraduate coursework</li></ul><div>
Preferred qualifications:</div><ul><li>
Education toward a degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field</li><li>
Experience programming in Python and working with data-driven libraries (Pandas, NumPy, Scikit-learn, etc.)</li><li>
Familiarity with SQL and relational databases</li><li>
Coursework or project experience in machine learning, predictive modeling, or statistical analysis</li><li>
Exposure to modern AI techniques, including deep learning or large language models (LLMs) isa plus</li><li>
Strong analytical and problem-solving skills with attention to detail and accuracy</li><li>
Energetic work style with a strong drive to learn and contribute</li><li>
Excellent verbal and written communication skills, with the ability to explain technical findings to varied audiences</li></ul><div></div><div><b><br>
About the</b><b> </b><b>Data Science Intern job</b><br>
What you&rsquo;ll do on a typical day:</div><ul><li>
Partner closely with a dedicated mentor and collaborate with experienced data scientists across the organization</li><li>
Analyze large, complex datasets to uncover trends, patterns, and actionable insights</li><li>
Develop and evaluate predictive models using machine learning techniques</li><li>
Communicate results and recommendations to technical and business stakeholders through presentations, reports and visualizations</li><li>
Work directly with cross-functional business partners to interpret results, iterate on findings and deliver impactful solutions</li><li>
Gain exposure to innovative applications of AI</li></ul><p></p><p><b><br>
About XPO</b></p><p>
XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you&rsquo;re looking for a growth opportunity, join us at XPO.</p><p></p><p><br>
We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.</p><p></p><p><br>
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.</p><p></p><p><br>
The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification.</p><p></p><p><br>
Review XPO's candidate privacy statement here.</p></div>

The Standard Insurance

<div><p><b>The next part of your journey is right around the corner &mdash; with The Standard.
</b></p><p></p><p>A genuine desire to make a difference in the lives of others is the foundation for everything we do. With a customer-first mindset and an intentional focus on building strong teams, we&rsquo;ve been able to uphold our legacy of financial stability while investing in new, innovative technologies that support the needs of our customers. Our high-performance culture focused on operational excellence thrives thanks to remarkable people united by compassion and a customer-first commitment. Are you ready to make a difference?
</p><p></p><p>The Standard is seeking a Data Science Intern to join the AI Delivery team and contribute to the development of AI-powered workflow products that drive measurable business value across the enterprise.
</p><p>This internship is designed for high-potential students pursuing degrees in Data Science, Computer Science, Statistics, Applied Mathematics, or related fields who want hands-on experience building and evaluating real-world machine learning systems in a regulated industry environment.
</p><p></p><p>As a Data Science Intern, you will partner with Data Scientists, AI / ML Engineers, Software Engineers, and Product Owners to support model development, experimentation, evaluation, and data analysis. You will gain exposure to production-grade machine learning workflows, model governance, and enterprise AI systems&mdash;moving beyond academic exercises into business-impacting work.
</p><p></p><p>This role is ideal for individuals who are curious, analytical, collaborative, and excited about applying AI responsibly at scale.
</p><p></p><p><b>Skills and Background You&rsquo;ll Need
</b></p><ul><li><b>EDUCATION: </b>Currently pursuing a Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related technical field.
</li><li><b>EXPERIENCE: </b>Prior coursework, research, or project experience in machine learning or data analysis. Internship or applied experience is a plus.
</li><li>Strong foundation in statistics, probability, and machine learning fundamentals (classification, regression, model evaluation).
</li><li>Proficiency in Python and common data science libraries (e.g., pandas, numpy, scikit-learn).
</li><li>Familiarity with data manipulation and querying (e.g., SQL).
</li><li>Exposure to ML experimentation workflows, version control (e.g., Git), and reproducible analysis practices.
</li><li>Interest in applied AI systems, including NLP or generative AI concepts, is a plus.
</li><li>Ability to translate business questions into analytical approaches with guidance.
</li><li>Strong written and verbal communication skills.
</li>Intellectual curiosity, attention to detail, and a desire to learn in a fast-paced, collaborative environment.<br>
<li>
</li></ul><p><br>
<b>Key Behaviors of a Successful Candidate
</b></p><ul><li><b>Driving Success </b>&ndash; Sets goals that inspire others; demonstrates a high level of ambition to achieve outstanding results.
</li><li><b>Improvement Mindset </b>&ndash; Identifies the interrelatedness of work activities; targets important areas for improvement across business unit/functions.
</li><li><b>Winning Together </b>- Makes decisions in partnership with impacted business unit/function leaders with the goals of the organization in mind; acts in the best interest of the organization.
</li></ul><p></p><h1 class="jobSectionHeader"><b>Why Join The Standard?
</b></h1><p></p><p>We have built an enduring legacy of stability, financial strength and exceptional customer service through the contributions of the service-oriented people who choose to work at The Standard. To ensure we can attract and retain the best talent, when you join The Standard you can expect:
</p><ul><li><p>Real-world experiences and meaningful projects that support your career goals provided by a supportive and responsive management team eager to help with skills development
</p></li><li><p>Opportunities to build relationships and broaden industry knowledge through virtual networking with leaders and team members across the company
</p></li><li><p>Three days of paid time off and paid company holidays during your internship period
</p></li><li><p>A virtual first day orientation and the equipment necessary (e.g., laptop, monitors, headset) for a successful internship experience
</p></li></ul><p></p><p>Salary Range:
</p>Range from $25.00 - $28.75 depending on year in school
<p>Positions will be posted for at least 5 days from original posting date.
</p><p></p><p>Standard Insurance Company, The Standard Life Insurance Company of New York, Standard Retirement Services, Inc., StanCorp Mortgage Investors, LLC, StanCorp Investment Advisers, Inc., and American Heritage Life Insurance Company and American Heritage Service Company, marketed as The Standard, are Affirmative Action/Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, national origin, gender identity, sexual orientation, age, disability or veteran status or any other condition protected by federal, state or local law. Except where precluded by state or federal law, The Standard will consider for employment qualified applicants with arrest and conviction records pursuant to the San Francisco Fair Chance Ordinance. The Standard offers a drug- and alcohol-free work environment where possession, manufacture, transfer, offer, use of or being impaired by an illegal substance while on The Standard's property, or in other cases which the company believes might affect operations, safety or reputation of the company is prohibited. The Standard requires a criminal background investigation and employment, education and licensing verification as a condition of employment. After any conditional offer of employment is made, the background check will include an individualized assessment based on the applicant&rsquo;s specific record and the duties and requirements of the specific job. Applicants will be provided an opportunity to explain and correct background information. All employees of The Standard must be bondable.</p></div>

DocuSign

<div><h2 class="jobSectionHeader"><b>Company Overview</b></h2><div><br>
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&rsquo;s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign&rsquo;s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).</div><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>What You'll Do</b></h2><p><br>
Docusign's Product Data Science team is looking for a Data Scientist Intern to support the development of key data products and capabilities to enable data-driven product development and decision making. In this role, you would be part of the Product Data Science team and work directly in partnership with a variety of stakeholders including but not limited to Product, Engineering and User Experience partners to support and empower them with data-driven actionable insights. You will be embedded in specific product spaces requiring you to establish and grow relationships. As a Data Scientist Intern, you&rsquo;ll dig into the data to uncover insights, identify opportunities for product improvements and new product development, define product metrics with goals, design experiments and develop data science models to drive customer experience, engagement, and adoption of Docusign&rsquo;s products.</p><p></p><p><br>
This role is not eligible for OPT or sponsorship now or in the future.</p><p></p><p><br>
This position is an individual contributor role reporting to the Director, Product Data Science.</p><p></p><div><p><b><br>
Responsibility</b></p></div><ul><li><p>
Collaborate with cross-functional teams to research, build and improve data analysis to identify opportunities for product improvements, new product features, product utilization, and improve customer experience, engagement, and retention</p></li><li><p>
Partner closely with the product managers, user researchers, engineers, and leadership to capture and prioritize potential insights, analysis, and data product opportunities that will drive maximum business impact</p></li><li><p>
Leverage data to develop actionable analytical insights and present findings to senior management</p></li><li><p>
Partner with Product teams to design, administer, and analyze the results of A/B and multivariate tests and other ML models</p></li><li><p>
Design and build dashboards to provide actionable insights and key business metrics</p></li><li><p>
Design, build and test reliable data pipelines to extract and transform data</p></li><li><p>
Identify, design, and implement process improvements by automating manual processes for greater efficiency</p></li><li><p>
Collaborate with stakeholders across organizations to support their data needs</p></li><li><p>
Implement data quality checks to maintain the high quality of data</p></li><li><p>
Optimize and maintain the existing pipelines</p></li><li><p>
Document the work in confluence and Alation</p></li></ul><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>Job Designation</b></h2><div><p><b><br>
Hybrid:</b></p>
Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)</div><div></div><div><p><br>
Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.</p></div><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>What You Bring</b></h2><div><p><b><br>
Basic</b></p></div><ul><li><p>
Currently in the process of obtaining, a Bachelors/MS degree in Computer Science, Information Systems or other related engineering field</p></li><li><p>
Graduating in December 2025, May/June 2026</p></li><li><p>
English language proficiency: native or fluent</p></li><li><p>
Experience with SQL for data analysis and data validation.</p></li><li><p>
Experience with data visualization tools such as Tableau, Power BI, or similar</p></li><li><p>
Experience with statistics and rigorous analytical techniques</p></li><li><p>
Experience in extracting, transforming and loading data using any data platform</p></li><li><p>
Experience solving real business problems using data and analytics</p></li><li><p>
Experience in working with cross-functional teams</p></li></ul><div><p><b>
Preferred</b></p></div><ul><li><p>
Ability to present data in a visual format and explain the insights clearly and concisely</p></li><li><p>
Ability to delivery on multiple competing priorities</p></li><li><p>
Experience with A/B testing, cohort analysis, user segmentation, and other core product analytics methodologies</p></li><li><p>
Experience designing and refining machine learning models</p></li><li><p>
Experience with Python or R</p></li><li><p>
Familiarity with data engineering processes.</p></li><li><p>
Highly motivated, organized, self-starter who thrives in a fast-paced environment</p></li></ul><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>Wage Transparency</b></h2><div><br>
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.</div><div></div><div><br>
Based on applicable legislation, the below details pay ranges in the following locations:</div><div></div><div><br>
Washington, Maryland, New Jersey and New York (including NYC metro area):
<p>$38/hour - $40/hour</p></div><p></p><div><p><b><br>
Work Authorization Notice:
</b></p>Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.</div><br>
<p></p>
<br>
<p></p><h2 class="jobSectionHeader"><b>Life At Docusign</b></h2><div><p><b><br>
Working here</b></p></div><div>
Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what&rsquo;s right, every day. At Docusign, everything is equal.</div><div></div><div><br>
We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you&rsquo;ll be loved by us, our customers, and the world in which we live.</div><div></div><div><p><b><br>
Accommodation</b></p></div><div>
Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.</div><div></div><div><br>
If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.</div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>Our global benefits</b></h3>
<div></div><div><div><div><h4 class="jobSectionHeader"><b>Paid time off</b></h4>
<div>Take time to unwind with earned days off, plus paid company holidays based on your region.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Paid parental leave</b></h4>
<div>Take up to six months off with your child after birth, adoption or foster care placement.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Full health benefits</b></h4>
<div>Options for 100% employer-paid health plans from day one of employment.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Retirement plans</b></h4>
<div>Select retirement and pension programs with potential for employer contributions.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Learning &amp; development</b></h4>
<div>Grow your career with coaching, online courses and education reimbursements.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Compassionate care leave</b></h4>
<div>Paid time off following the loss of a loved one and other life-changing events.</div></div></div></div></div>

Product Data Science Intern

Schnuck Markets, Inc.

<div>
 <p>
  <strong>
   <u>
    2026 Data Science Internship
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  St. Louis, MO (Hybrid) | Remote (Available for MO, IL, or IN residents)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Commitment:
  </strong>
  Full-time (Summer 2026) | Part-time (Fall 2026)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Intern Program Overview
   </u>
  </strong>
 </p>
 <p>
  Join a mentorship-oriented environment designed to fast track your professional career. As a Data Science Intern, you will work alongside a dedicated team of experts to solve real-world business problems using Machine Learning and Generative AI. This program offers a unique blend of technical development and business strategy, providing high-performing interns with the opportunity to be considered for full-time roles upon graduation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Model Development: Build and deploy machine learning models to identify actionable business insights.
  </li>
  <li>
   Advanced Analytics: Conduct predictive data mining and assist in the automation of complex work streams.
  </li>
  <li>
   Tech Stack Integration: Gain hands-on experience with Google Cloud Platform (GCP), BigQuery, and Gemini AI.
  </li>
  <li>
   Professional Presence: Refine your communication skills through bi-weekly presentations to the Data Science department.
  </li>
  <li>
   Change Management: Support the team in training and automation initiatives to drive business value.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Eligibility &amp; Requirements
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education &amp; Availability
  </strong>
 </p>
 <ul>
  <li>
   Current Enrollment: Must be a Master&rsquo;s or PhD student in Data Science, Data Analytics, Computer Science, Statistics, or Mathematics or a related field.
  </li>
  <li>
   Academic Standing: Expected graduation date of Dec 2026 or later.
  </li>
  <li>
   Schedule: Available for full-time work (40 hours per week) in Summer 2026 and part-time work (20 hours per week) in the Fall 2026 semester.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Skills
  </strong>
 </p>
 <ul>
  <li>
   Programming: Proficiency in Python or R, and strong SQL skills.
  </li>
  <li>
   Methodology: Solid understanding of data science workflows and machine learning algorithms.
  </li>
  <li>
   Cloud &amp; AI: Familiarity with cloud environments (GCP preferred) and an interest in Large Language Model (LLM) applications.
  </li>
  <li>
   Communication: Ability to translate complex technical findings into business insights for non-technical stakeholders.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Soft Skills
  </strong>
 </p>
 <ul>
  <li>
   High attention to detail and a self-motivated drive to learn.
  </li>
  <li>
   Excellent verbal and written communication.
  </li>
  <li>
   Strong organizational skills with the ability to manage multiple priorities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Location &amp; Workplace Model
   </u>
  </strong>
 </p>
 <ul>
  <li>
   St. Louis-based Interns: This role follows a hybrid schedule. Candidates residing in the St. Louis metropolitan area should expect to work from our central office as their schedule allows.
  </li>
  <li>
   Regional Remote: Candidates residing in MO, IL, or IN (outside of the STL metro area) are eligible for fully remote work.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Why Join Us?
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Direct Mentorship: You will be paired with one or more dedicated mentors for personalized guidance.
  </li>
  <li>
   Collaboration: Work in a cohort-based model alongside other interns and data scientists.
  </li>
  <li>
   Career Pathing: We are specifically looking for candidates interested in a long-term career in data science post-graduation.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Science Intern (Year-Round)

Munich Re Life US

<div><div><b>Location</b> New York, United States <b>Job type</b> Full-Time <b>Work mode</b> Hybrid <b>Job level</b> Internship &amp; Working Student <b>Job ID</b> 10309 <b>Company</b> Munich Re Life US <b>Employment type</b> Temporary <b>Area of expertise</b> Data, BI &amp; Analytics</div></div><p></p>
<br><div><div><p><b>POSITION: </b>Data Science Intern, NA Integrated Analytics (2026 Summer - New York)<br>
<b>LOCATION: </b>New York, NY<br>
<b>ANTICIPATED START DATE:</b> Summer 2026</p><p></p><p><i><br>
Together, we engage with everything we have and are, to help humankind act braver and better.</i></p><p></p><p>
As the world&rsquo;s leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change. We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions. We dare to think big and are continuously innovating on behalf of our clients.</p><p></p><p>
How can ML promote longer and healthier lives? Armed with decades of risk data, novel data sources, and a team of innovative data scientists, engineers, and domain experts, Munich RE is building solutions that are transforming the life insurance industry.</p><ul><li>
Develop solutions that allow easier access to insurance and healthier lifestyles</li><li>
Build highly scalable products with best security, ML, DevOps practices</li><li>
Research bias and fairness, disease models, NLP &amp; more</li><li>
Discover diverse careers with leadership opportunities</li><li>
Flexible remote/in-person work + focus on work-life balance</li><li>
Be part of a fast-growing team that values transparency &amp; diversity</li></ul><p><b><br>
Our internship placements provide you with an excellent opportunity to practically apply your classroom and technical training in the reinsurance industry. While with our team, you&rsquo;ll be; coached by experienced industry professionals, exposed to Munich Re leadership, challenged as a valuable team member and contributor doing meaningful work, and mentored to develop a solid foundation that will help position you as a future leader in the field.</b></p><p></p><p><b>
Munich Re is operating under a hybrid working model, including 3 days in office/week with the remaining days working from home. Students are expected to relocate to the city in which they work for the duration of their co-op, so they can fully benefit from the full program integration. This provides a great opportunity to network, develop soft skills and become immersed within the greater Munich Re culture; including engaging with your team while in-office for face-to-face meetings, sharing meaningful moments, and allocating time to connect with your Manager.</b></p><p><br>
To learn more about the North American Integrated Analytics team, please visit our site: https://www.munichre.com/us-life/en/solutions/integrated-analytics.html</p><p><b><br>
THE ROLE:</b><br>
Responsibilities may include, but will not be limited to the following:</p><ul><li>
Supporting the development of statistical and machine learning techniques to assist with building models for underwriting, pricing, and claims management;</li><li>
Assist in building and implementing solutions that enable operational units to improve quality and speed of core processes in order to generate incremental revenue or reduce expense;</li><li>
Help research new ways of modeling data to unlock actionable insights or improve processes;</li><li>
Collaborate across Munich Re functions to understand how analytics can influence business decisions;</li><li>
Network with existing data science groups at Munich Re.</li></ul><p></p><p><b>
QUALIFICATIONS:</b><br>
We&rsquo;re looking for well-rounded individuals who are technically astute, have strong communication skills, and demonstrate the ability to build positive relationships with internal clients. We&rsquo;re seeking energetic and collaborative professionals who are excited to join our winning team and show promise of becoming a future leader in the data science space.</p><p></p><p>
Specifically, we&rsquo;re looking for the following qualifications:</p><p></p><p><i>
Technical:</i></p><ul><li>
Undergraduate or Graduate degree in Computer Science, Statistics, Data Science/Analytics, Applied Mathematics, Engineering (Physics, Bioinformatics) &ndash; or equivalent program offering coursework manipulating large datasets;</li><li>
Familiarity working with analytics through the modeling lifecycle including gathering data, design, recommendations, testing, implementation, communication, and revisions;</li><li>
Familiarity with advanced predictive analytic techniques;</li><li>
Experience working with any of the following: SQL, Python, or R (familiarity with multiple languages considered an asset).</li></ul><p><i>
Behavioral:</i></p><ul><li>
Solid communication skills; spoken &amp; written, formal/informal presentation;</li><li>
Resourceful and able to learn quickly;</li><li>
Proven ability to thrive in a dynamic environment.</li></ul><p><i>
Preferred (but not required):</i></p><ul><li>
Familiarity with big data technologies (ex: Apache Spark, +, etc) and deep learning models (such as tensorflow);</li><li>
Previous exposure to insurance or financial services environment is preferred but not required.</li></ul><p></p><p>
Note that this opportunity is open to current students who are returning to in-class studies upon the completion of the internship.</p></div></div><p></p>
<br><div><div><div><h2 class="jobSectionHeader"><b>Your Benefits</b></h2>
<p>With us, you get more than just an exciting job. Enjoy a wide range of employee benefits tailored to your wellbeing and development. Please note that regional differences may apply.</p>
</div><div><div><p>Competitive Salary</p>
<p>We provide fair and competitive compensation that reflects your performance and commitment.</p>
</div><div><p>Company performance-based Incentives</p>
<p>In addition to your salary, our variable compensation approach allows you to share in Munich Re's success.</p>
</div><div><p>Recognition and Special Rewards</p>
<p>We recognise outstanding individual contributions through a variety of targeted rewards and incentives.</p>
</div><div><p>Retirement Planning</p>
<p>We support your long-term financial wellbeing with retirement solutions aligned with local regulations.</p>
</div><div><p>Inclusive Workplace Culture</p>
<p>We foster a respectful, inclusive, and values-driven environment.</p>
</div><div><p>Learning &amp; Development</p>
<p>We offer tailored learning opportunities with a strong focus on core skills and business-critical knowledge.</p>
</div><div><p>Work-Life-Balance</p>
<p>Supporting your ability to balance family, leisure, and your career.</p>
</div><div><p>Health &amp; Wellbeing</p>
<p>We support your physical and mental health through a range of programs and activities in each location.</p></div></div></div></div>

Data Science Intern, NA Integrated Analytics (2026 Summer - New York)

SkilloVilla

<div>
 <p>
  <strong>
   About the Job
  </strong>
 </p>
 <p>
  We are looking for a Data Scientist proficient with AI/ML/NLP/CV/GenAI. Your primary focus will be designing and developing curriculum for our new AI focused programs.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location: Bengaluru (Work from Office)
  </strong>
 </p>
 <p>
  <strong>
   Duration: 6 Months + PPO (based on performance)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits
  </strong>
 </p>
 <ul>
  <li>
   Certificate of Internship
  </li>
  <li>
   Competitive compensation
  </li>
  <li>
   An opportunity to
   <strong>
    convert the internship to a full-time role
   </strong>
  </li>
  <li>
   Get
   <strong>
    mentoring from the COO and CTO
   </strong>
  </li>
  <li>
   Work in an agile environment on quality problems
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Roles and Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Work closely with program managers and industry experts to design and evolve the Data Science curriculum, with a specific focus on
   <strong>
    ML/DL/GenAI/NLP/CV
   </strong>
   .
  </li>
  <li>
   Design and build high-quality learning products that are focused on
   <strong>
    real-world applications and employment
   </strong>
   .
  </li>
  <li>
   Collaborate cross-functionally with teams to ensure a seamless development process for
   <strong>
    course materials and related content
   </strong>
   (video lectures, reading materials, problem statements, case studies).
  </li>
  <li>
   Stay updated with the latest
   <strong>
    trends and industry developments in Data Science
   </strong>
   to ensure the curriculum remains relevant and up-to-date.
  </li>
  <li>
   Manage and track student progress through assignments, quizzes, and other assessments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills Required
  </strong>
 </p>
 <p>
  <strong>
   <em>
    Bare Minimum
   </em>
  </strong>
 </p>
 <ul>
  <li>
   Knowledge: A solid understanding of Data Science, specifically in areas such as ML, DL, and NLP, with practical project development experience in these areas as well.
  </li>
  <li>
   Education: BCA or BTech in AI, ML, Data Science, Engineering, or relevant fields. Freshers are welcome to apply.
  </li>
  <li>
   Programming: Hands-on experience with Python (pandas, numpy, scipy, matplotlib), including DSA, and knowledge of popular ML frameworks like TensorFlow or similar.
  </li>
  <li>
   Communication: Strong written and verbal communication skills in English.
  </li>
 </ul>
 <p>
  <strong>
   ﻿
   <em>
    Recommended
   </em>
  </strong>
 </p>
 <ul>
  <li>
   Knowledge: A solid understanding of GenAI and CV, with practical project development experience in these areas as well.
  </li>
  <li>
   Education: MTech or MSc with upto 1 year of experience in building AI solutions.
  </li>
  <li>
   Programming: Knowledge of DSA and backend development (FastAPI) using Python.
  </li>
  <li>
   Learning Capabilities: A passion for rapid learning and the ability to quickly adapt to new tools, techniques, and technologies, even when unfamiliar.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Ready to showcase your talents?
  </em>
 </p>
 <p>
  <strong>
   Submit your resume, and let us see what you'vs got!
  </strong>
 </p>
</div>


Data Science Curriculum Intern

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Data Science Curriculum Intern