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Data Science Engineer Intern Jobs (NOW HIRING)

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 (Hybrid) * Duration: 11/17/2025 to 11/13/2026 * Team: Fraud ADUS Key Responsibilities: * Develop and ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Wehave multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Wehave multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

LLNL

Data Science Engineer

Livermore, CA

$121K - $154K/yr

We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

We have multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

We have multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

1 point system

Data Science Engineer

Century City, CA · On-site

Minimum 3 years working in a Data Science role * Bachelor's degree in a relevant field such Mathematics, Science, Engineering, Computer Science, or Business * Master's Degree in relevant discipline ...

Adobe

Data Science Engineer

San Jose, CA

$134K - $161K/yr

This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. As a member of the Data Engineering team, you will have significant ...

Adobe, Inc.

Data Science Engineer

San Jose, CA · On-site

$134K - $161K/yr

This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. As a member of the Data Engineering team, you will have significant ...

Deloitte

Palantir AI and Data Science Engineer

Huntsville, AL · On-site

$112K - $135K/yr

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Deloitte

Palantir AI and Data Science Engineer

Huntsville, AL · On-site

$112K - $135K/yr

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Deloitte

Palantir AI and Data Science Engineer

Arlington, VA · On-site

$131K - $158K/yr

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Scopely

Associate Data Scientist

Sunnyvale, CA · On-site +1

$174K - $202K/yr

... Engineering, Data Science, Statistics, or related quantitative field (or foreign equivalent). 1 year of experience in the job offered, as a Data Analytics Engineer Intern, Marketing Analyst Intern ...

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Data Science Engineer Intern information

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

As of Jul 11, 2026, the average hourly pay for data science engineer intern in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

Is 23 an hour good for an internship?

For a Data Science Engineer Intern, $23 an hour is generally considered above average for internships, which often pay between $15 and $20 per hour. The pay can vary based on location, company size, and required skills such as programming in Python or experience with data analysis tools. It's important to consider the internship's responsibilities and whether the compensation aligns with industry standards in your area.

What does a data engineer intern do?

A data engineer intern assists in designing, building, and maintaining data pipelines and infrastructure to support data analysis and storage. They often work with tools like SQL, Python, and cloud platforms, gaining experience in data processing, database management, and system optimization under supervision.

Is 30 too late for data science?

Age is not a barrier to becoming a data science engineer intern; many successful professionals start or transition into data science at various ages. Building relevant skills such as programming, statistics, and machine learning, along with certifications or projects, can help regardless of age.

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

AspectData Science Engineer InternData Analyst Intern
Required SkillsProgramming (Python, SQL), machine learning, data modelingData visualization, statistical analysis, Excel skills
Work EnvironmentCollaborates with data engineering and data science teams on model developmentFocuses on data reporting and insights for business decisions
Industry UsageTech, finance, healthcare, where data science projects are commonRetail, marketing, finance, emphasizing data reporting

The Data Science Engineer Intern role involves building and deploying machine learning models, requiring programming and data modeling skills. In contrast, the Data Analyst Intern focuses on analyzing data and creating reports for business insights. Both roles are entry-level internships but serve different functions within data teams.

Is a 3.4 GPA good for internships?

For a Data Science Engineer Intern position, a 3.4 GPA is generally considered acceptable, especially if complemented by relevant skills such as programming in Python or R, experience with data analysis tools, and project work. While some competitive internships may prefer higher GPAs, practical skills and project portfolios often weigh more in the selection process.
What cities are hiring for Data Science Engineer Intern jobs? Cities with the most Data Science Engineer Intern job openings:
What are the most commonly searched types of Data Science Engineer jobs? The most popular types of Data Science Engineer jobs are:
What states have the most Data Science Engineer Intern jobs? States with the most job openings for Data Science Engineer Intern jobs include:
Data Science Engineer Intern jobs near you
AI & Data Science Intern

AI & Data Science Intern

Carlisle Companies, Inc.

Carlisle, PA • On-site

Full-time

Posted 5 days ago

Job description

The AI & Data Science Engineering Intern will support cutting-edge projects at the intersection of software engineering, applied AI, and materials innovation. The intern will work on initiatives that combine agentic AI workflows, computer vision, and data science to accelerate research and development in construction materials. The role includes building end-to-end prototypes that integrate backend services, AI models, and user interfaces to drive digital transformation across the organization.
Duties and Responsibilities:
  • Assist in the design and development of agentic AI workflows, integrating large language models with data sources and multi-agent orchestration.
  • Develop and maintain backend APIs and services using frameworks such as FastAPI to support AI and data science applications.
  • Build interactive dashboards and prototypes with Streamlit, Reflex, or similar tools for internal stakeholders.
  • Contribute to computer vision workflows, such as SEM image analysis and defect detection, to automate materials characterization.
  • Perform data wrangling, exploratory analysis, and statistical modeling to uncover insights from experimental, operational, and customer datasets.
  • Collaborate with the team to design, implement, and test machine learning models (regression, clustering, NLP, computer vision).
  • Document methodologies, maintain reproducible codebases, and present results to both technical and business stakeholders.
  • Stay current with emerging tools, frameworks, and best practices in agentic AI, software engineering, computer vision, and data science.

Qualification:
  • Currently pursuing a Master's or PhD in Computer Science, Data Science, Engineering, or a related field from an accredited university with a minimum 3.0 GPA.
  • Strong programming skills in Python with experience in libraries such as pandas, scikit-learn, OpenCV, TensorFlow/PyTorch.
  • Experience with backend frameworks (FastAPI, Flask, Django) and frontend/UI tools (Streamlit, Reflex, React-based).
  • Familiarity with LLMs, agentic AI frameworks, or orchestration tools (LangChain, LlamaIndex, or custom pipelines).
  • Solid understanding of machine learning and computer vision principles.
  • Interest in applying AI/ML to industrial and materials science challenges.

Additional Information:
Work Location: Carlisle, PA. No travel required. Remote work is not available for this position.
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