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Scikit Learn Intern Jobs (NOW HIRING)

Accuris

Software Engineer Intern (Hybrid)

Denver, CO · On-site

$20 - $26/hr

Summer Intern - Software Engineer Level: Undergraduate (Junior/Senior) or Graduate (MS/MBA) ... as NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow. * Experience working with LLM/GenAI ...

accuris

Software Engineer Intern (Hybrid)

Denver, CO · Hybrid

$20/hr

Summer Intern - Software Engineer Level: Undergraduate (Junior/Senior) or Graduate (MS/MBA) ... as NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow. * Experience working with LLM/GenAI ...

Berkley

AI Intern

Manassas, VA · On-site

$15 - $20/hr

Responsibilities The internship or co-op program for an AI Intern provides highly motivated and ... Knowledge of AI/ML libraries like TensorFlow, PyTorch, or Scikit-learn is an advantage.

Fujitsu

Research Intern - GHAI-3

Santa Clara, CA · On-site

Research Intern at Fujitsu Research of America Location: Santa Clara, CA The Space Data Frontier ... Strong Python with pandas, NumPy, scikit-learn, Matplotlib / Seaborn, and at least one of XGBoost ...

Nextnav

AI/ML Internship

Santa Clara, CA · On-site

At NextNav we are looking for a creative, and passionate intern to join a project centered around ... Proficiency in Python, including experience with machine-learning libraries such as scikit-learn ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

The research intern will be in a fast-paced start-up environment playing a crucial technical role ... Proficiency in Python, MLOps (W&B, MLFlow) and ML packages (scikit-learn, PyTorch, JAX), along with ...

Nextnav

AI/ML Internship

Santa Clara, CA

At NextNav we are looking for a creative, and passionate intern to join a project centered around ... Proficiency in Python, including experience with machine-learning libraries such as scikit-learn ...

USCS

Data Analytics Summer Intern

Camden, NJ · On-site

$20/hr

Data Analytics Summer Intern (3 Months) Who We Are : USCS is driven to advance, innovate and serve ... Exposure to commonly used tools like Pandas, NumPy, Scikit-Learn, Matplotlib, Docker through ...

Stride, Inc.

Community Analytics Intern

Richmond, VA · On-site

$22/hr

The intern will work collaboratively with product and technical experts as well as other interns on ... scikit learn) * WordPress and/or HTML, php, javascript Compensation & Benefits: Stride, Inc ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

The research intern will be in a fast-paced start-up environment playing a crucial technical role ... Proficiency in Python, MLOps (W&B, MLFlow) and ML packages (scikit-learn, PyTorch, JAX), along with ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

The research intern will be in a fast-paced start-up environment playing a crucial technical role ... Proficiency in Python, MLOps (W&B, MLFlow) and ML packages (scikit-learn, PyTorch, JAX), along with ...

Jade Global

Integration Analyst Intern

Ogden, UT

Integration Analyst Intern1 Integration Analyst Intern in the Data & AI Team Launch Your Career ... Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch * Good ...

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Scikit Learn Intern information

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How much do scikit learn intern jobs pay per hour?

As of May 28, 2026, the average hourly pay for scikit learn intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Scikit Learn Intern, and why are they important?

To thrive as a Scikit Learn Intern, you need a solid understanding of machine learning concepts, Python programming proficiency, and experience with data analysis libraries such as NumPy and Pandas. Familiarity with the Scikit-learn library, Jupyter Notebooks, and version control systems like Git is typically required. Curiosity, strong problem-solving abilities, and effective communication skills help interns collaborate and learn quickly in dynamic teams. These skills and qualities are crucial for contributing to real-world data science projects and developing practical machine learning solutions.

What types of projects can a Scikit Learn Intern expect to work on during their internship?

As a Scikit Learn Intern, you can expect to work on projects involving the development, testing, and improvement of machine learning algorithms and tools within the Scikit-learn ecosystem. Typical tasks may include contributing to open-source code, writing unit tests, improving documentation, and experimenting with new features or enhancements to existing modules. Interns often collaborate closely with experienced data scientists and software engineers, gaining hands-on experience with real-world machine learning workflows and open-source development practices. This role provides an excellent opportunity to deepen your understanding of both machine learning concepts and collaborative software development.

What does a Scikit Learn Intern do?

A Scikit Learn Intern typically assists with machine learning projects using the Scikit-learn library in Python. Their responsibilities may include data preprocessing, building and evaluating models, conducting research on algorithms, and collaborating with data scientists or engineers. Interns also help in documenting code, running experiments, and sometimes contributing to open-source projects. This role provides hands-on experience in applying machine learning techniques to real-world problems and helps build foundational skills for a career in data science.

What is the difference between Scikit Learn Intern vs Data Science Intern?

AspectScikit Learn InternData Science Intern
Required SkillsKnowledge of Python, Scikit-learn, basic machine learning conceptsPython, statistics, data analysis, machine learning
Work EnvironmentTech companies, research labs, startupsTech firms, consulting agencies, research institutions
Industry UsageFocus on machine learning model development using Scikit-learnBroader data analysis, visualization, and modeling tasks
Common Search IntentComparing internship roles involving Scikit-learn skillsUnderstanding data science internship responsibilities

In summary, a Scikit Learn Intern typically focuses on developing machine learning models using Scikit-learn, requiring knowledge of Python and ML basics. A Data Science Intern has a broader role, including data analysis, visualization, and applying various tools beyond Scikit-learn. Both roles are common in tech and research environments, but their focus and skill requirements differ slightly.

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Scikit Learn Intern jobs near you

Software Engineer Intern (Hybrid)

Accuris

Denver, CO • On-site

$20 - $26/hr

Internship

Posted 22 days ago

Job description

Summer Intern - Software Engineer
Level: Undergraduate (Junior/Senior) or Graduate (MS/MBA)
Location: Denver, CO - Hybrid (3 days on-site per week)
Duration: June 1 - August 3-10, 2026 | 9-10 weeks
Compensation: Paid - $20/hour
ABOUT THE ROLE
This is a hands-on software engineering internship designed to give you real ownership from day one. You'll partner closely with your manager to identify and define a meaningful technical problem, then take the lead in building a solution from the ground up. We're looking for someone who is comfortable working autonomously, embraces challenges, and can translate ideas into functional products. A core part of this role is leveraging AI-assisted development-using coding agents and modern AI workflows as integral tools throughout the development process.
WHAT YOU'LL WORK ON
You will collaborate with your manager to scope a high-impact project and own it end-to-end-from problem definition and system design through implementation and delivery. Your work will focus on building a functional application or tool using cutting-edge, AI-powered development practices. Along the way, you'll refine your own approach to working effectively with coding agents and document your learnings.
WHAT YOU'LL DELIVER
By the end of the internship, you will deliver:
  • A working product that addresses a real-world problem
  • An executive-ready presentation outlining your approach, methodology, and key insights for leadership

REQUIRED QUALIFICATIONS
  • Currently enrolled as a Junior or Senior undergraduate, or a Graduate (MS or MBA) student in Computer Science, Data Science, Electrical Engineering, Information Systems, or a related field.
  • Demonstrated experience building AI applications - whether through coursework, personal projects, open-source contributions, or prior internships.
  • Proficiency in Python with hands-on experience using ML libraries such as NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow.
  • Experience working with LLM/GenAI platforms (e.g., OpenAI API, Anthropic Claude, LangChain, RAG pipelines, or prompt engineering).
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and data tools including SQL and data pipeline or dashboard tooling.
  • Strong written and verbal communication skills; able to present technical concepts clearly to both technical peers and non-technical stakeholders.
  • Self-starter with the ability to move fast, iterate, and learn from ambiguous, real-world data problems.

ABOUT ACCURIS
Accuris provides engineers, procurement specialists, and product teams with trusted data and intelligence to design better products and build more resilient supply chains. Our Supply Chain Intelligence division delivers real-time component data, risk analytics, and predictive insights to help global organizations make faster, smarter sourcing decisions. This internship puts you at the frontier of AI applied to one of the world's most complex and consequential industries.

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