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Evening Data Science Intern Jobs (NOW HIRING)

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team ...

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team ...

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team ...

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

Design and craft data science models to communicate solutions to customers and company leadership Requirements * Currently has, or is in the process of obtaining a PhD in a quantitative field ...

New

We are looking for a motivated Data Science Intern to join our team. This role offers hands-on experience working with real-world data, building models, and supporting data-driven decision-making.

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

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Evening Data Science Intern information

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$42

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

As of Aug 19, 2026, the average hourly pay for evening data science intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is an evening data science intern?

An Evening Data Science Intern is a student or early-career professional who works part-time, typically during evening hours, to assist with data science projects at a company or organization. Their responsibilities often include data cleaning, analysis, visualization, and supporting machine learning model development under the guidance of experienced data scientists. This role is ideal for individuals who have daytime commitments, such as school or another job, but want to gain practical experience and build their skills in data science. Evening internships can also provide flexibility and exposure to real-world data challenges.

What can an evening data science intern expect in terms of mentorship and collaboration during their internship?

As an Evening Data Science Intern, you will typically work closely with both junior and senior data scientists, often participating in regular team check-ins and project meetings that accommodate evening hours. Mentorship is commonly provided through code reviews, paired programming, and access to experienced team members who can guide you through complex problem-solving. You'll have opportunities to contribute to ongoing data projects, analyze real datasets, and present your findings, fostering both technical and communication skills. Collaboration tools like Slack, GitHub, and virtual meetings are often used to facilitate seamless teamwork across different schedules.

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

To thrive as an Evening Data Science Intern, you need a solid grounding in statistics, programming (often Python or R), and data analysis, typically supported by coursework or a degree in a quantitative field. Familiarity with tools like SQL, Jupyter Notebooks, and libraries such as pandas, scikit-learn, or TensorFlow is common, and experience with data visualization platforms can be beneficial. Strong problem-solving skills, attention to detail, and effective communication help interns present insights and collaborate with teams. These abilities enable interns to contribute meaningful analyses and support data-driven decision-making in a professional setting.

What is the difference between Evening Data Science Intern vs Data Science Intern?

AspectEvening Data Science InternData Science Intern
Work HoursTypically evening or night shiftsStandard daytime hours
Work EnvironmentRemote or flexible, often part-timeUsually in-office or full-time remote
Required CredentialsLikely pursuing related degree, basic programming skillsSimilar educational background, entry-level
Industry UsageCommon in companies with 24/7 operationsStandard internship in tech and data firms

Both roles involve assisting with data analysis, modeling, and reporting. The main difference lies in work hours and environment, with Evening Data Science Interns working during evenings or nights, often part-time, while Data Science Interns typically work during regular daytime hours. The choice depends on your schedule and career goals, but both provide valuable industry experience.

What cities are hiring for Evening Data Science Intern jobs?

Cities with the most Evening Data Science Intern job openings:

What are the most commonly searched types of Data Science Intern jobs?

The most popular types of Data Science Intern jobs are:

What states have the most Evening Data Science Intern jobs?

States with the most job openings for Evening Data Science Intern jobs include:

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.