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Product Data Science Intern

Seattle, WA · On-site +1

As a Data Scientist Intern, you'll dig into the data to uncover insights, identify opportunities ... Employee divides their time between in-office and remote work. Access to an office location is ...

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 ...

Tencent

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

A passion for applying mathematical models and computer science technology to data-driven decision-making, along with profound insights into the gaming industry. * Expertise in mathematical modeling ...

Tencent

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

A passion for applying mathematical models and computer science technology to data-driven decision-making, along with profound insights into the gaming industry. * Expertise in mathematical modeling ...

Cresta

Data Science Intern (Customer Success)

We are looking for a motivated Data Science Intern to join our team. This role offers hands-on experience working with real-world data, building models, and supporting data-driven decision-making.

Zolve

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Data Science and Analytics Intern

Roseland, NJ · Remote

$15.92 - $17/hr

United States, Remote/Hybrid Internship Please register at Zolve Internship Portal here: Role and Responsibilities: As a Data Science and Data Analytics Intern, you will play a crucial role in ...

Premise Health

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

This is a Full Time, remote, Data Science Analyst role. What You'll Do * Analysis, Model Development & AI Solutions: * Perform exploratory data analysis to identify patterns and opportunities in ...

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

As of May 30, 2026, the average hourly pay for remote data science 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 are the key skills and qualifications needed to thrive as a Remote Data Science Intern, and why are they important?

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.

What types of projects do Remote Data Science Interns typically work on, and how do they collaborate with their teams?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

What is a Remote Data Science Intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

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

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

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Remote Data Science Intern jobs near you
Data Science Intern - Summer 2026 - Remote

Data Science Intern - Summer 2026 - Remote

UPLAND CAPITAL GROUP INC

Dallas, TX • On-site, Remote

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Science Intern - Summer 2026 - Remote

As an Excess and Surplus (E&S) carrier, we face unique and interesting problems every day. We are looking for a Data Science Intern to join our RA&D team for the summer. The role will report to the Director of Data Science.

Upland Capital Group, Inc. is an AM Best rated "A-" VIII specialty property/casualty insurer headquartered in Dallas, Texas. Through its wholly owned insurance carrier, Upland Specialty Insurance Company, the company markets, underwrites and services specialty insurance products in select markets to include excess transportation, construction casualty, excess casualty, primary general liability, excess public entity, professional liability errors and omissions as well as excess cyber liability.

We focus on "old school" underwriting as a craft, add "new school" analytics and technology, and encourage a gritty, growth mindset among people called "we entrepreneurs."

At our Risk, Analytics, & Data (RA&D) team, we focus on Actuarial, Data Science, Data and Model Engineering, and Enterprise Risk Management functions. Our Actuarial and Data Science model environment and architecture is containerized and cloud-based, running on Azure. This internship offers hands-on experience within a production analytics environment - working alongside experienced practitioners on real problems in specialty insurance. You will contribute to projects that enhance actuarial, underwriting, and claims insights through data-driven analytics, while developing practical skills in a collaborative, intellectually demanding setting.

Duties and Responsibilities

As a Data Science Intern at Upland, you will work alongside our data scientists and actuaries on analyses and modeling projects that support decision-making across actuarial, underwriting, and claims functions. You will be encouraged to ask questions, try new approaches, and develop your skills in a real production analytics environment.

Responsibilities will include:

  • Contribute to the curation of modeling datasets using internal and external data sources
  • Support the development and testing of models and analytics products under the guidance of senior data scientists
  • Assist with model documentation and help maintain standards for reproducibility and transparency
  • Research and apply data science techniques relevant to specialty insurance problems
  • Use AI to develop more efficient analytic workflows

Required Experience, Education, and Skills

Required:

  • Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field
  • Basic understanding of statistical modeling and machine learning concepts
  • Proficiency or coursework in Python, R, and/or SQL
  • Demonstrated experience using AI coding tools such as Claude Code, Codex, or similar
  • Self-starter, quick learner, and creative problem solver who thrives in a flexible, fast-paced, and remote work environment

Preferred:

  • Exposure to or interest in a variety of modeling techniques (e.g., Regression, Classification, Natural Language Processing, Large Language Models, etc.)
  • Basic understanding of the P&C insurance industry

Disclosures:

Pay Estimate: $ 22 per hour

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