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Internship Python R Jobs in Oregon (NOW HIRING)

Sargent & Lundy

Substation Engineer 1 - Grid

Portland, OR · On-site +1

$62K - $90K/yr

Related engineering internship or co-op work experience. * Familiarity in designing or developing ... Programming or scripting (e.g., Python, MATLAB, advanced Excel) to automate calculations, design ...

Upstart

Staff Machine Learning Model Risk Specialist

OR · On-site +1

$98K/yr

Internship or project experience related to model risk management, model validation, machine ... Experience coding in R, Python, or similar languages such as Matlab Preferred Qualifications * PhD ...

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Internship Python R information

What is an internship Python R?

Internship Python R positions are entry-level opportunities for students or recent graduates to gain practical experience working with Python and R programming languages. These internships typically involve tasks such as data analysis, scripting, software development, or research projects that utilize Python and R for statistical computing and data manipulation. Interns learn valuable skills in coding, problem-solving, and collaborating on real-world projects, often in fields like data science, finance, healthcare, or academia. They provide a stepping stone for building a career in technology or data-driven industries.

What types of projects or tasks can I expect to work on during a Python/R internship?

As a Python/R intern, you’ll typically assist with data analysis, data cleaning, and visualization projects, often working alongside experienced data scientists or analysts. Many internships involve using Python or R to automate data processing, support research efforts, or build basic machine learning models. You may also contribute to documentation, testing code, and presenting findings to your team. This hands-on experience is designed to strengthen your programming skills and expose you to collaborative workflows common in data-driven environments.

What are the key skills and qualifications needed to thrive as an internship Python R, and why are they important?

To thrive in a Python/R internship, you need foundational knowledge in programming with Python and R, basic statistics, and a relevant academic background in computer science, data science, or a related field. Familiarity with data analysis libraries (like pandas, NumPy, tidyverse), version control systems (such as Git), and data visualization tools is typically required. Strong problem-solving abilities, attention to detail, and the willingness to learn make candidates stand out. These skills are crucial for effectively contributing to data-driven projects and adapting to the learning-focused environment of an internship.

What is the difference between Internship Python R vs Data Analyst?

AspectInternship Python RData Analyst
Required SkillsBasic Python and R programming, data manipulationData analysis, SQL, visualization tools
Work EnvironmentInternship setting, entry-level projectsFull-time, corporate or research settings
CertificationsOptional, often includes online coursesOften requires or prefers certifications in data analysis or related fields

Internship Python R roles are entry-level positions focusing on learning and assisting with data projects using Python and R. Data Analyst roles are more advanced, involving comprehensive data analysis, reporting, and decision-making. Internships serve as a stepping stone toward full Data Analyst positions, which require more experience and skills.

Internship Python R jobs near you

Transportation Analyst (Modeling)

Stantec

Portland, OR • On-site

Full-time

Re-posted 27 days ago

Stantec rating

8.4

Company rating: 8.4 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

123rd of 450 rated engineering

Job description


A career in transportation is more than bridges, roads, and rail. As we plan, design, and manage projects that move people and goods from Point A to Point B, we create connections that transform our communities. Every airport, road, bridge, port, or transit project is an opportunity to make communities safer, cleaner, and more resilient. Together, we're making an impact around the world.
If you're looking for a career that moves, join our team of professionals who are passionate about the future of transportation.
Your Opportunity
We are seeking a Transportation Analyst to join our multidisciplinary team in the Portland, OR office. Ideal candidates will have 1-2 years of experience in transportation engineering or planning. The team specializes in traffic and revenue forecasting for toll facilities across the United States, offering a unique blend of transportation engineering, planning, and economics expertise. We value training, collaboration, and interpersonal connections, which are strengthened by working side-by-side with colleagues. This is a hybrid role, requiring a minimum of three days per week in the office.
Your Key Responsibilities
  • Assist in developing, maintaining, and applying travel demand models.
  • Process and analyze large transportation datasets, including traffic counts, transit ridership, origin-destination data, and toll transactions.
  • Support travel demand model calibration, validation, and scenario analysis.
  • Prepare model inputs, execute model scenarios, and summarize results for reports and presentations.
  • Utilize modeling software and tools such as Cube, TransCAD, VISUM, or similar platforms.
  • Automate data processing and analysis workflows using Python, SQL, and Excel.
  • Collaborate with senior modelers, planners, and engineers on technical tasks and project deliverables.
  • Develop technical manuals and draft technical memorandums specifically related to modeling processes

Qualifications
Your Capabilities and Credentials
  • Experience with data analysis using Python, R, SQL, or MATLAB.
  • Experience with transportation software such as VISSIM, Cube, TransCAD, VISUM, HCS, Synchro, or Legion.
  • Experience working with large databases, dashboard development, and related software (Power BI, Tableau).
  • Familiarity with GIS tools such as ArcGIS, QGIS, or GeoPandas.
  • Understanding of travel demand modeling concepts and typical application procedures.
  • Strong quantitative, analytical, and problem-solving abilities.
  • Capacity to manage multiple assignments concurrently.

Education and Experience
  • Bachelor of Science (B.S.) in Civil Engineering, Transportation Engineering, Transportation Planning, City and Regional Planning, Operations Research, or a related field. Advanced degrees (master's or PhD) are considered a plus.
  • Minimum of 1 years of professional experience is preferred. Previous internship experience a plus.
  • Engineering in Training (EIT) license, successful completion of the FE exam, or ability to obtain EIT within six months of employment.

Typical office environment working with computers and remaining sedentary for long periods of time. Field work may include exposure to the elements including inclement weather.
This description is not a comprehensive listing of activities, duties or responsibilities that may be required of the employee and other duties, responsibilities and activities may be assigned or may be changed at any time with or without notice.
About Stantec
Stantec is a global leader in sustainable engineering, architecture, and environmental consulting. The diverse perspectives of our partners and interested parties drive us to think beyond what's previously been done on critical issues like climate change, digital transformation, and future-proofing our cities and infrastructure. We innovate at the intersection of community, creativity, and client relationships to advance communities everywhere, so that together we can redefine what's possible.

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