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Data Science Intern Jobs in Tempe, AZ (NOW HIRING)

Help integrate data into training and recovery planning. * Collaborate with coaches, therapists, and sports scientists to monitor athlete progress. * Support applied research, literature review, and ...

Data Scientist

Tempe, AZ · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

Why Join Our Data Science Team? At State Farm, we are dedicated to helping our team members develop to their full potential. As a Data Scientist, you have the unique opportunity to develop both ...

Sports Science Intern - Fall 2026

Phoenix, AZ · On-site

$15 - $19.75/hr

Help integrate data into training and recovery planning. * Collaborate with coaches, therapists, and sports scientists to monitor athlete progress. * Support applied research, literature review, and ...

Data Scientist

Phoenix, AZ · On-site

$110 - $140/hr

Partner with stakeholders to identify business challenges and develop data science solutions. * Translate business requirements into analytical frameworks and predictive models. * Build, test ...

Data Scientist

Chandler, AZ · On-site

$140 - $190/hr

Experience Required 5+ years of experience in Data Science, Machine Learning, or AI‑related roles. #J-18808-Ljbffr

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Participate in the end-to-end data science project lifecycle - data mining and exploration, model development and evaluation, production deployment, measurement, and tracking * Perform time-series ...

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Data Science Intern information

See Tempe, AZ salary details

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How much do data science intern jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data science intern in Tempe, AZ is $21.90, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Tempe, AZ?

The most popular types of Data Science jobs in Tempe, AZ are:

What are popular job titles related to Data Science Intern jobs in Tempe, AZ?

For Data Science Intern jobs in Tempe, AZ, the most frequently searched job titles are:

What cities near Tempe, AZ are hiring for Data Science Intern jobs?

Cities near Tempe, AZ with the most Data Science Intern job openings:

Infographic showing various Data Science Intern job openings in Tempe, AZ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $45,553 per year, or $21.9 per hour.

Data Science Intern, Interconnection & Transmission

Arevon

Scottsdale, AZ • On-site

Internship

Posted 4 days ago


Job description

The Position

Arevon is recruiting for the position of Data Science Intern, Interconnection & Transmission, an outstanding opportunity for individuals seeking an exciting, high-growth work environment in one of the most important industries for the 21st century.

The Data Science Intern will support the Interconnection and Transmission teams by ensuring accurate collection, organization, and maintenance of critical data across multiple systems. This role will focus on collecting, compiling, and/or sourcing data/information from multiple sources, transforming it into useable database(s).

The role will also provide an opportunity to gain an understanding of how data can be used across various cutting-edge tools used in the electric generation and transmission industry.

Projects:

  • Map Eastern Interconnection (EI) and Western Electricity Coordinating Council (WECC) Generation Interconnection Queues (GIQ) and transmission projects to raw source files.
  • Aggregate, map and process regional ISO/RTO queue filings, tracking project statuses (e.g., active, under study, withdrawn, operational) and Interconnection customer data.
  • Develop a change-set tracker to monitor changes in transmission object characteristics - Line Status, impedance, voltage  Magnitude, Bus Angle, etc.- between various study cases.

Assist in automating data extraction, web scraping, mapping, change-detection processes across all core interconnection projects.

Key Responsibilities

  • Extract, update and validate electrical topology, system study cases and GIQ data.
  • Parse regional queue applications, commercial operation dates, capacity values, resource types (solar, wind, storage, thermal) to maintain a unified data pipeline.
  • Identify opportunities to automate data ingestion from grid operator portals (e.g., PJM, MISO, CAISO, SPP, ERCOT) and improve workflow efficiency. Maintain a systematic repository of data issues, study case mismatches, queue record discrepancies assisting in their resolution.

Maintain and query backend databases that feed key operational dashboards, interconnection cost models and transmission analytics.

Required Qualifications

  • Currently pursuing a Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, Mathematics, Statistics, or a related technical discipline.
  • Proficiency in Python, SQL, or other programming languages used for data analysis and automation.
  • Strong analytical and problem-solving skills with the ability to interpret and organize complex datasets.
  • Prefer general understanding of electric grid fundamentals, power systems, ISO/RTO interconnection processes or transmission planning concepts.
  • Experience working with Microsoft Excel and data management tools. Effective written and verbal communication skills.
  • Familiarity with relational databases and data transformation techniques. Ability to collect, clean, validate, and organize data from multiple sources. Strong attention to detail and commitment to data accuracy.
  • Ability to work independently while collaborating in a team environment.

Preferred Qualifications

  • Coursework or experience in electric power systems, transmission planning, data standardization, automation, or energy markets.
  • Experience with data analysis libraries such as Pandas, NumPy, or similar tools.
  • Familiarity with GIS, spatial data, or mapping tools.
  • Knowledge of power system modeling software such as PSSE/TARA, PROBE, or similar applications.
  • Understanding electric transmission networks or utility operations.
  • Experience with SQL databases and ETL (Extract, Transform, Load) processes.
  • Experience developing scripts or automating repetitive data processing tasks.
  • Familiarity with version control on large databases.
  • Experience creating dashboards or reports using Power BI, Tableau, or similar visualization tools.
  • Previous internship, research, or project experience in the energy, utility, or renewable energy industry.

Equal Opportunity Employer Statement

Arevon is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We encourage candidates of all backgrounds to apply.