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Applied Scientist Intern Jobs (NOW HIRING)

Strayos

$13 - $17.50/hr

Our applied science team uses these datasets to better understand our customers critical business ... INTERN

Wealth Inc

Applied Scientist- AI/ML Intern

$45 - $55/hr

Applied Scientist AI/ML Intern Location : Remote/United States About Us Wealth.com is the industry's leading estate planning platform, empowering more than 1,000 wealth management firms to modernize ...

Brilent

Data Scientist Intern

San Mateo, CA · On-site

As a data scientist intern, you will work alongside our small team of data scientists and engineers ... Pursuing BS, MS or PhD in Statistics, Applied Mathematics, Computer Science or another quantitative ...

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Applied Scientist Intern information

What does an Applied Scientist Intern do?

An Applied Scientist Intern typically works on real-world problems by applying scientific methods, machine learning, data analysis, and programming skills. They collaborate with engineers and researchers to develop and test models or algorithms that solve business or technical challenges. Interns may also help collect and analyze data, run experiments, and document their findings. This role provides hands-on experience in both research and practical implementation, often in fields like artificial intelligence, data science, or computer vision.

What types of projects do Applied Scientist Interns typically work on, and how are these projects structured within the team?

Applied Scientist Interns often work on data-driven projects that involve developing and testing machine learning models, conducting experiments, and analyzing large datasets to solve real business problems. These projects are usually well-defined and aligned with ongoing team objectives, but interns are encouraged to contribute their own ideas and approach. Interns regularly collaborate with experienced scientists, software engineers, and product managers, receiving mentorship and feedback throughout the process. Project milestones and deliverables are often set at the beginning of the internship to ensure clear expectations and measurable outcomes.

What are the key skills and qualifications needed to thrive as an Applied Scientist Intern, and why are they important?

To thrive as an Applied Scientist Intern, you generally need a solid background in mathematics, statistics, and computer science, often supported by progress toward a relevant degree such as computer science, data science, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of data analysis tools are typically expected. Strong analytical thinking, curiosity, and effective communication skills help interns collaborate on research projects and present findings. These skills are crucial for contributing meaningful insights, building practical solutions, and working effectively within a multidisciplinary team.
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Infographic showing various Applied Scientist Intern job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution.

Applied Scientist Internship

Strayos

On-site, Remote

$13 - $17.50/hr

Other

Posted 2 days ago

Job description

If you love using innovative technology to tackle tough science problems and working in a fast-paced, results-oriented team environment, keep reading to learn more about the Strayos Applied Scientist internship opportunity.


Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors data to build insights for Mining, Infrastructure and Construction industry. Our applied science team uses these datasets to better understand our customers critical business operations and how it is changing. We are seeking three exceptional students with experience interpreting and processing imagery to join our applied science team during a three-month internship based at Strayos' headquarters in Buffalo, WNY.


Over the course of this internship, you will work directly with our dynamic team of applied scientists who can share their deep knowledge of machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine learning techniques to solve challenging research questions. To efficiently execute your solutions, you will access the Strayos' imagery archive and cloud-computing resources, and receive mentorship from one of our applied scientists. At the end of the internship, you will present your findings to the broader applied science team and learn more about future career opportunities at Strayos.


Responsibilities

  • Leverage our Python-based platform to query, access, and manipulate aerial imagery

  • Utilize machine learning or other classification techniques to analyze aerial imagery

  • Produce clear, concise results (e.g. ML models, statistics) for a project that can be completed during the course of the internship


Requirements

  • Candidates must currently be enrolled in an academic degree program in Geography, Geoscience, Earth Science, Engineering, Physics, Computer Science or a related field, within 1 year of completion.

  • Experience with Python & Numpy

  • Strong problem solving and critical thinking skills

  • Excellent written and verbal communication

  • Ability to work independently


Preferred skills

  • Experience with machine learning and image classification

  • Proficiency with the following Python packages: numpy, scikit-learn, keras

  • Experience working with aerial or satellite imagery and geospatial data.

Employment Type: INTERN

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