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Data Science Summer Intern Jobs (NOW HIRING)

Athenago

Data Science Intern

Wilmington, DE

Role Overview The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and ...

Athena LLC

Role Overview The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and ...

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How much do data science summer intern jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data science summer intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What does a Data Science Summer Intern do?

A Data Science Summer Intern typically works with a team of data scientists and analysts to help collect, clean, and analyze data. They may assist in building machine learning models, visualizing data, and generating reports to provide actionable insights for the organization. Interns often gain hands-on experience with programming languages like Python or R, as well as tools such as SQL and data visualization software. Their work supports larger projects and helps them develop practical skills for a career in data science.

What skills and qualifications are needed to thrive as a Data Science Summer Intern?

To thrive as a Data Science Summer Intern, you need a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by coursework or projects in data science or related fields. Familiarity with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and version control systems (e.g., Git) is typically expected. Curiosity, problem-solving ability, and effective communication help interns stand out when tackling real-world data challenges and presenting findings. These skills and qualities are crucial for extracting actionable insights from data and contributing meaningfully to team projects.

How do Data Science Summer Interns typically collaborate with other team members during their internship?

Data Science Summer Interns often work closely with data scientists, analysts, and engineers as part of cross-functional project teams. They usually participate in regular meetings, share progress updates, and seek feedback from mentors or supervisors. Interns may be assigned specific tasks within larger projects, such as data cleaning, exploratory analysis, or model development, and are encouraged to ask questions and contribute ideas. This collaborative environment helps interns learn from experienced professionals while developing both technical and communication skills.

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

AspectData Science Summer InternData Analyst Summer Intern
Required CredentialsTypically pursuing or holding a degree in Data Science, Computer Science, or related fieldsUsually pursuing or holding a degree in Statistics, Business, or related fields
Work EnvironmentTech companies, startups, research labs with focus on data modeling and machine learningBusiness firms, marketing agencies, finance companies focusing on data reporting and analysis
Employer & Industry UsageCommon in tech, finance, healthcare industriesPrevalent in retail, finance, consulting sectors

While both roles involve working with data, a Data Science Summer Intern typically focuses on building models, machine learning, and advanced analytics, whereas a Data Analyst Summer Intern concentrates on data reporting, visualization, and insights. The choice depends on your career interests in technical modeling versus data interpretation.

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Data Science Summer Intern jobs near you
Infographic showing various Data Science Summer Intern job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Summer Intern 2027 - Data

LPL Financial Holdings, Inc.

Fort Mill, SC • On-site

$25 - $30/hr

Part-time

Posted 9 days ago

LPL Financial rating

7.4

Company rating: 7.4 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

118th of 151 rated financial services

Job description

Where Ambition Meets Innovation
Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you'll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.
Job Overview:
LPL Financial is seeking a motivated Data Engineering Intern to help build and optimize the data platforms that power analytics, business intelligence, and AI-driven decision-making. In this role you'll work with data engineering, analytics, and data product teams to develop data pipelines, support reporting and insights, and contribute to AI and Generative AI initiatives. This role is ideal for students passionate about data, technology, and using intelligent solutions to solve business challenges and drive client value.
Responsibilities:
  • Assist in building and maintaining data pipelines that ingest, process, and transform data from multiple sources.

  • Support the development and optimization of data platforms, warehouses, lakes, and reporting solutions.

  • Analyze, validate, and monitor data to ensure accuracy, quality, and reliability.

  • Partner with data engineers, analysts, product managers, and business stakeholders to support analytics, reporting, and AI use cases.

  • Contribute to the development of data products by gathering requirements, documenting business needs, and supporting product lifecycle activities.

  • Leverage automation and AI-enabled tools to improve data workflows, operational efficiency, and insight generation.

  • Assist with troubleshooting data pipeline issues, performance monitoring, and process optimization.

  • Document data architectures, workflows, and technical specifications.

What are we looking for?
We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.
Requirements:
  • Currently pursuing a bachelor's or master's degree in Computer Science, Management Information Systems (MIS), Data Science, Analytics, Engineering, Mathematics, or a related field.

  • Available to work from of LPL Financials' primary office locations

Core Competencies:
  • Data Engineering Fundamentals - Understanding of data pipelines, data modeling, data transformation, and data quality concepts.

  • Analytics & Business Insight - Ability to analyze data, identify trends, and support data-driven decision-making.

  • Product & Stakeholder Mindset - Interest in translating business needs into data products and meaningful solutions.

  • AI & Innovation - Curiosity about AI, Generative AI, machine learning, and how intelligent technologies

Preferences:
  • Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP), including cloud-based data storage and processing services.

  • Exposure to modern data engineering technologies, including Snowflake, Databricks, Redshift, BigQuery, Apache Spark, or Apache Kafka.

  • Proficiency in SQL and familiarity with Python or other programming languages used to build, automate, and optimize data pipelines.

  • Experience with ETL/ELT processes, data modeling, and workflow orchestration tools such as Airflow, dbt, or similar technologies.

  • Familiarity with Git, Agile development practices, and data visualization tools such as Power BI, Tableau, or Looker.

Summer Internship Schedule:
  • Full - time position for 10 weeks in the summer of 2027; Monday through Friday, working 40 hours a week during business operating hours.

  • Internship dates: 6/1/2027 - 8/6/2027

Priority Application Date: September 21 at 11:59 PM PST
PLEASE NOTE: This role follows a priority application approach. Candidates who apply by this date will receive priority consideration, and we anticipate that most hiring decisions will be made following the priority application date. Candidates are encouraged to apply early, as applications will be reviewed on a rolling basis.
Disclaimer for international students:
  • At this time, for our early career program positions, we're unable to consider candidates who require sponsorship now or in the future. For other positions, within LPL it will depend on the specific position.
  • You will be responsible for obtaining and providing to LPL the required I-9 documentation as part of our onboarding process.
  • Positions offered are for full-time work at 40 hours per week.
  • Please consult your Designated School Official to confirm your eligibility with your school ability prior to applying.

Hourly Rate:
$25.00-$30.00 per hour
The hourly amount is dependent on a number of factors, including the applicant's skill, experience, and work location.
Company Overview:
LPL Financial Holdings Inc. (Nasdaq: LPLA) was founded on the principle that the firm should work for advisors and institutions, and not the other way around. Today, LPL is a leader in the markets we serve, serving more than 23,000 financial advisors, including advisors at approximately 1,000 institutions and at approximately 580 registered investment advisor ("RIA") firms nationwide. We are steadfast in our commitment to the advisor-mediated model and the belief that Americans deserve access to personalized guidance from a financial professional.
At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
Join LPL Financial: Where Your Potential Meets Opportunity
At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation's leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services.
Why LPL?
  • Innovative Environment: We foster creativity and growth, providing a supportive and responsive leadership team. Learn more about our leadership team here!
  • Limitless Career Potential: Your career at LPL has no limits, only amazing potential. Learn more about our careers here!
  • Unified Mission: We are one team on one mission-taking care of our advisors so they can take care of their clients. Learn more about our mission and values here!
  • Impactful Work: Our size is just right for you to make a real impact. Learn more here!
  • Commitment to Equality: We support workplace equality and embrace diverse perspectives and backgrounds. Learn more here!
  • Community Focus: We care for our communities and encourage our employees to do the same. Learn more here!
  • Benefits and Total Rewards: Our Total Rewards package goes beyond just compensation and insurance. It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home. Learn more here!

Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at (855) 575-6947.
EAC1.22.25

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