Data Scientist Intern

About the position

Innovation is in HP’s DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world’s leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators, and entrepreneurs around the globe. HP brings together a portfolio that spans printing, personal computing, software, and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze. Our future success depends on the innovation and fresh ideas students bring to HP, inc. We are hiring students with a diverse set of skills and experiences to join us, across the different organizations that make us HP, inc. Our intern program is intended to enhance your overall learning experience, give you an opportunity to make an impact, have some fun, and meet great people along the way. Join us for a 12-week paid summer internship designed to let you apply your classroom learnings to real world challenges. Our internships have a thoughtful balance of networking, executive speakers, community involvement, big meaty projects (no paper filing here!) and fun!

Responsibilities

• Collaborate with a dynamic team to design, develop, and implement data-driven strategies and solutions for various business challenges.
• Assist in the analysis of large datasets to identify trends, patterns, and actionable insights to guide decision-making processes.
• Work with machine learning models and algorithms to enhance predictive analytics and automate data processes.
• Help optimize data workflows, ensuring scalability and efficiency across multiple systems and platforms.
• Conduct data cleaning, data wrangling, and preprocessing to prepare datasets for analysis and modeling.
• Assist in visualizing data insights through reports, dashboards, and presentations to communicate findings to stakeholders.
• Support the development and improvement of data infrastructure and pipelines, ensuring they are robust and well-maintained.

Requirements

• Currently enrolled in a Master’s program and expected to graduate in December 2025.
• Proficiency in programming languages such as Python or R for data analysis and machine learning.

Nice-to-haves

• Experience with machine learning frameworks and libraries (e.g., Keras, PyTorch).
• Familiarity with big data tools and technologies (e.g., Hadoop, Spark).
• Knowledge of data visualization tools (e.g., Tableau, Power BI).
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).
• Understanding of statistical analysis and hypothesis testing methods.
• Passion for staying up-to-date with emerging trends in data science and machine learning.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
• 13 paid holidays
• 15 days paid time off