ZipRecruiter

Log In

1

Summer Data Science Jobs (NOW HIRING)

Evolver

Applied Data Science Intern

Palo Alto, CA

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

next page

Showing results 1-20

All JobsSummer Data Science Jobs

Summer Data Science information

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $100,000 annually, depending on location, industry, and company size. Skills in machine learning, programming, and data analysis tools like Python or R can influence salary levels.

Is 30 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What is the 80 20 rule in data science?

In data science, the 80 20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the difference between Summer Data Science vs Summer Data Analyst?

AspectSummer Data ScienceSummer Data Analyst
Required CredentialsTypically requires coursework or degree in data science, statistics, or related fieldsOften requires degree or coursework in data analysis, statistics, or business analytics
Work EnvironmentCollaborates with data scientists, engineers, and product teams on complex data projectsWorks with business teams to interpret data, generate reports, and support decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for advanced data modelingCommon in marketing, retail, finance, and operations for data reporting and insights

Summer Data Science roles focus on developing predictive models and advanced analytics, often requiring stronger technical skills. Summer Data Analysts typically handle data reporting and visualization to support business decisions. Both roles are valuable in data-driven industries but differ in technical depth and project scope.

What are the key skills and qualifications needed to thrive as a Summer Data Science Intern, and why are they important?

To excel as a Summer Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or a degree in a quantitative field. Familiarity with tools such as SQL, Jupyter Notebooks, and data visualization platforms, as well as experience with machine learning libraries, is typically expected. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to contribute meaningful analyses, adapt quickly to new challenges, and add value to data-driven projects in a short timeframe.

What is a Summer Data Science internship?

A Summer Data Science internship is a temporary, often 8-12 week, position for students or recent graduates to gain hands-on experience in data science during the summer months. Interns typically work on real-world projects involving data collection, cleaning, analysis, and visualization, using tools like Python, R, and SQL. These internships provide valuable exposure to industry practices, mentorship from experienced data scientists, and opportunities to develop technical and analytical skills. They are commonly offered by tech companies, finance firms, healthcare organizations, and startups.

Can I get a data scientist job with no experience?

Entry-level data scientist positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools and techniques. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or internships can improve your chances of securing a data scientist role.

What types of projects can I expect to work on as a Summer Data Science intern?

As a Summer Data Science intern, you can typically expect to work on real-world projects involving data cleaning, exploratory data analysis, and building predictive models under the supervision of experienced data scientists. You may be tasked with analyzing large datasets, visualizing findings, and contributing to presentations that inform business decisions. Collaboration is common, so you'll likely work closely with team members from engineering, analytics, and business units to refine project goals and deliver actionable insights. This hands-on experience is designed to help you develop technical skills while understanding how data science impacts organizational objectives.
More about Summer Data Science jobs
What cities are hiring for Summer Data Science jobs? Cities with the most Summer Data Science job openings:
What are the most commonly searched types of Data Science jobs? The most popular types of Data Science jobs are:
What states have the most Summer Data Science jobs? States with the most job openings for Summer Data Science jobs include:
What job categories do people searching Summer Data Science jobs look for? The top searched job categories for Summer Data Science jobs are:
Summer Data Science jobs near you
Data Science Intern (USPS) - Summer 2026

Data Science Intern (USPS) - Summer 2026

Logistics Management Institute

Tysons, VA • On-site

Other

Posted 11 days ago

Job description

Overview

LMI is seeking a highly motivated Data Science & AI/ML Intern for Summer 2026 to contribute to impactful projects in data science, software development, and artificial intelligence/machine learning (AI/ML). This internship provides an opportunity to work with cutting-edge technologies, analyze complex datasets, and develop AI-driven solutions that support LMI's mission to provide innovative solutions for government clients. 

This role is dedicated to bolstering our Advanced Analytics & AI practice and supporting our USPS customer.  

*This position is currently full-time onsite at the customers Washington DC office.  

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities
  • Participate in research and development efforts focused on emerging AI and data science methodologies. 
  • Conduct data analysis and build predictive models using Python, SQL, and machine learning libraries. 
  • Develop and implement AI/ML algorithms to solve real-world problems. 
  • Assist in the development of software applications leveraging cloud computing platforms like AWS or Azure. 
  • Create data visualizations and dashboards to present analytical insights effectively. 
  • Collaborate with cross-functional teams to integrate AI-driven solutions into existing systems.  
Qualifications
  • Current enrollment in a degree seeking program required 
  • Availability to work full-time for at least 10-12 weeks for summer 2026
  • Must be available starting at the end of May 2026
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. 
  • Experience with Python, SQL, and machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). 
  • Familiarity with software development, cloud computing (AWS, Azure), and algorithms. 
  • Strong analytical and problem-solving skills with the ability to work on complex datasets. 
  • Experience with data visualization tools (Tableau, Power BI, Matplotlib) is a plus. 
  • Strong communication and teamwork skills. 
  • Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information. For this position, LMI will only consider applicants who are eligible for security clearances. Only US Citizens are eligible for a security clearance. 

DESIRED QUALIFICATIONS/SKILLS 

  • Experience working with Microsoft Excel and Access. 
  • Experience with Visual Basic for Applications and Java is highly desirable. 
  • Programming experience-ability to program and learn new programming languages quickly. 

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

Employment Type: OTHER

Apply