Data Intern, **Summer 2025 (Masters Level apply only) **
- Internship, onsite
- Nutanix
- San Jose, United States of America
Salary undisclosed
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Hungry, Humble, Honest, with Heart.
The Opportunity
This is a 12-week internship with start dates beginning in May through August 2025, depending on your availability. Nutanix offers both remote and hybrid internships where you would work from the San Jose, CA, office 2-3 days/week. Submit your application by October 4, 2024.
An internship at Nutanix allows you to build on your studies and expand your professional skills, working alongside an encouraging and innovative software engineering team. You will dive deep into some of the software industry's most demanding and popular fields. Strengthen your programming skills beyond the classroom through hands-on, impactful technical projects as you learn, grow, and explore with training and mentoring from our team of technical experts.
About The Team
As a Data Science Intern , you will have the opportunity to work on real-world projects in the areas of Big Data, Distributed Computing, Machine Learning, Generative AI, and Data Analytics. You will collaborate with Nutanix engineers, gain hands-on experience with our technology stack, and contribute to innovative solutions that enhance our product offerings.
About
This internship is designed for individuals passionate about data engineering, artificial intelligence, and advanced analytics. You will gain exposure to a variety of tools, platforms such as:
Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. For most roles, that will mean coming into an office a minimum of 2 - 3 days per week, however certain roles and/or teams may require more frequent in-office presence. Additional team-specific guidance and norms will be provided by your manager.
The pay range for this position at commencement of employment is expected to be between USD $ 37 and USD $43 per hour.
However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.
The Opportunity
This is a 12-week internship with start dates beginning in May through August 2025, depending on your availability. Nutanix offers both remote and hybrid internships where you would work from the San Jose, CA, office 2-3 days/week. Submit your application by October 4, 2024.
An internship at Nutanix allows you to build on your studies and expand your professional skills, working alongside an encouraging and innovative software engineering team. You will dive deep into some of the software industry's most demanding and popular fields. Strengthen your programming skills beyond the classroom through hands-on, impactful technical projects as you learn, grow, and explore with training and mentoring from our team of technical experts.
About The Team
As a Data Science Intern , you will have the opportunity to work on real-world projects in the areas of Big Data, Distributed Computing, Machine Learning, Generative AI, and Data Analytics. You will collaborate with Nutanix engineers, gain hands-on experience with our technology stack, and contribute to innovative solutions that enhance our product offerings.
About
This internship is designed for individuals passionate about data engineering, artificial intelligence, and advanced analytics. You will gain exposure to a variety of tools, platforms such as:
- Hands-on experience with Spark, Hadoop, and other Big Data frameworks.
- Development of end-to-end data engineering pipelines for large-scale systems.
- Insights into the integration of Generative AI with enterprise applications.
- Practical knowledge of business intelligence tools and data visualization techniques.
- Exposure to machine learning pipelines and the lifecycle of AI model development.
- Best practices for working in a dynamic, collaborative team environment
- Collaborate with cross-functional teams to design, develop, and optimize Big Data pipelines using Spark, Hadoop, and distributed computing technologies.
- Explore and implement Machine Learning and Generative AI models to solve complex data challenges.
- Analyze large datasets to extract actionable insights and build Business Intelligence (BI) dashboards using modern visualization tools.
- Assist in the development of scalable data solutions for data analytics and predictive modeling.
- Research state-of-the-art advancements in Generative AI and contribute to their practical application within Nutanix’s technology ecosystem.
- You are pursuing a Masters in Data Science, Business Analytics, Computer Science, Software Engineering, or a related field.
- Strong programming skills in Python, Scala, Java, or C++.
- Familiarity with Big Data technologies such as Apache Spark, Hadoop, or Kafka.
- Basic understanding of Machine Learning algorithms and frameworks like PyTorch, TensorFlow, or Scikit-learn.
- Experience with SQL and working with relational and NoSQL databases.
- Enthusiasm for exploring Generative AI and its applications in business.
- Knowledge of data visualization tools like Tableau, Power BI, or Matplotlib.
- Mentorship and support from your manager and team
- A multinational company with unique teammates and a vibrant Employee Resource Group Community
- Competitive pay, all the hardware you’ll need, plus wellness days.
- For the in-office / hybrid: A modern office with all the snacks and beverages you can consume!
- Learn more about Nutanix and our platform architecture with the Nutanix Bible
- Explore our Instagram and blog
- Learn what employees are saying on LinkedIn and Glassdoor
- How we approach Diversity, Equity, Inclusion & Belonging
- More information for students
Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. For most roles, that will mean coming into an office a minimum of 2 - 3 days per week, however certain roles and/or teams may require more frequent in-office presence. Additional team-specific guidance and norms will be provided by your manager.
The pay range for this position at commencement of employment is expected to be between USD $ 37 and USD $43 per hour.
However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.
Hungry, Humble, Honest, with Heart.
The Opportunity
This is a 12-week internship with start dates beginning in May through August 2025, depending on your availability. Nutanix offers both remote and hybrid internships where you would work from the San Jose, CA, office 2-3 days/week. Submit your application by October 4, 2024.
An internship at Nutanix allows you to build on your studies and expand your professional skills, working alongside an encouraging and innovative software engineering team. You will dive deep into some of the software industry's most demanding and popular fields. Strengthen your programming skills beyond the classroom through hands-on, impactful technical projects as you learn, grow, and explore with training and mentoring from our team of technical experts.
About The Team
As a Data Science Intern , you will have the opportunity to work on real-world projects in the areas of Big Data, Distributed Computing, Machine Learning, Generative AI, and Data Analytics. You will collaborate with Nutanix engineers, gain hands-on experience with our technology stack, and contribute to innovative solutions that enhance our product offerings.
About
This internship is designed for individuals passionate about data engineering, artificial intelligence, and advanced analytics. You will gain exposure to a variety of tools, platforms such as:
Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. For most roles, that will mean coming into an office a minimum of 2 - 3 days per week, however certain roles and/or teams may require more frequent in-office presence. Additional team-specific guidance and norms will be provided by your manager.
The pay range for this position at commencement of employment is expected to be between USD $ 37 and USD $43 per hour.
However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.
The Opportunity
This is a 12-week internship with start dates beginning in May through August 2025, depending on your availability. Nutanix offers both remote and hybrid internships where you would work from the San Jose, CA, office 2-3 days/week. Submit your application by October 4, 2024.
An internship at Nutanix allows you to build on your studies and expand your professional skills, working alongside an encouraging and innovative software engineering team. You will dive deep into some of the software industry's most demanding and popular fields. Strengthen your programming skills beyond the classroom through hands-on, impactful technical projects as you learn, grow, and explore with training and mentoring from our team of technical experts.
About The Team
As a Data Science Intern , you will have the opportunity to work on real-world projects in the areas of Big Data, Distributed Computing, Machine Learning, Generative AI, and Data Analytics. You will collaborate with Nutanix engineers, gain hands-on experience with our technology stack, and contribute to innovative solutions that enhance our product offerings.
About
This internship is designed for individuals passionate about data engineering, artificial intelligence, and advanced analytics. You will gain exposure to a variety of tools, platforms such as:
- Hands-on experience with Spark, Hadoop, and other Big Data frameworks.
- Development of end-to-end data engineering pipelines for large-scale systems.
- Insights into the integration of Generative AI with enterprise applications.
- Practical knowledge of business intelligence tools and data visualization techniques.
- Exposure to machine learning pipelines and the lifecycle of AI model development.
- Best practices for working in a dynamic, collaborative team environment
- Collaborate with cross-functional teams to design, develop, and optimize Big Data pipelines using Spark, Hadoop, and distributed computing technologies.
- Explore and implement Machine Learning and Generative AI models to solve complex data challenges.
- Analyze large datasets to extract actionable insights and build Business Intelligence (BI) dashboards using modern visualization tools.
- Assist in the development of scalable data solutions for data analytics and predictive modeling.
- Research state-of-the-art advancements in Generative AI and contribute to their practical application within Nutanix’s technology ecosystem.
- You are pursuing a Masters in Data Science, Business Analytics, Computer Science, Software Engineering, or a related field.
- Strong programming skills in Python, Scala, Java, or C++.
- Familiarity with Big Data technologies such as Apache Spark, Hadoop, or Kafka.
- Basic understanding of Machine Learning algorithms and frameworks like PyTorch, TensorFlow, or Scikit-learn.
- Experience with SQL and working with relational and NoSQL databases.
- Enthusiasm for exploring Generative AI and its applications in business.
- Knowledge of data visualization tools like Tableau, Power BI, or Matplotlib.
- Mentorship and support from your manager and team
- A multinational company with unique teammates and a vibrant Employee Resource Group Community
- Competitive pay, all the hardware you’ll need, plus wellness days.
- For the in-office / hybrid: A modern office with all the snacks and beverages you can consume!
- Learn more about Nutanix and our platform architecture with the Nutanix Bible
- Explore our Instagram and blog
- Learn what employees are saying on LinkedIn and Glassdoor
- How we approach Diversity, Equity, Inclusion & Belonging
- More information for students
Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. For most roles, that will mean coming into an office a minimum of 2 - 3 days per week, however certain roles and/or teams may require more frequent in-office presence. Additional team-specific guidance and norms will be provided by your manager.
The pay range for this position at commencement of employment is expected to be between USD $ 37 and USD $43 per hour.
However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.