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Internship Nhl Data Science Jobs (NOW HIRING)

Athena LLC

Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 ... This role is not suitable for entry-level candidates or interns. Compensation: * $65.00 to $69.72 ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

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 ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

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 ...

Faire

Data Science Intern

San Francisco, CA · On-site

$75/hr

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 ...

Copart, Inc.

Data Science Analyst

Dallas, TX · On-site

Copart is seeking a Data Science Senior Analyst to help provide vision and commitment to key Copart ... Required Skills and Experience : * 3-5+ years of experience (relevant academic internships and ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Provides guidance and best practice advice to data science interns. Qualifications * Bachelor's Degree required; Master's degree in Data Science, Computer Science, Software Engineering or similar ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

Caterpillar

Data Science/Analyst

Chicago, IL · On-site

Launch your data science or technical analyst career by building AI and analytics solutions that ... Experience through internships, personal projects, research, hackathons, student organizations, or ...

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Internship Nhl Data Science information

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How much do internship nhl data science jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for internship nhl data science 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.

How much do NHL interns make?

NHL data science interns typically earn between $15 and $25 per hour, depending on the organization and location. Internships often last for a few months during the off-season or summer, providing valuable experience with sports analytics tools and data analysis techniques.

What types of projects do data science interns typically work on at the NHL?

As a data science intern at the NHL, you can expect to work on projects that involve analyzing player performance data, developing predictive models, and assisting with the visualization of hockey statistics for various stakeholders. Interns often collaborate with full-time data scientists, engineers, and other departments such as scouting or marketing to support ongoing research and new initiatives. The work environment is fast-paced and team-oriented, offering exposure to real-world sports analytics and opportunities to contribute to meaningful projects that impact decision-making within the league.

What are the key skills and qualifications needed to thrive as an NHL Data Science Intern, and why are they important?

To thrive as an NHL Data Science Intern, you need a solid background in statistics, programming (often Python or R), and data analysis, typically gained through coursework or a related degree in fields like computer science, mathematics, or statistics. Familiarity with data visualization tools (such as Tableau or Power BI), machine learning libraries, and databases (like SQL) is commonly required. Strong problem-solving abilities, attention to detail, and effective communication help interns translate complex data into actionable insights for hockey operations or business strategy. These skills are crucial for delivering valuable analyses, supporting data-driven decisions, and effectively communicating findings in the fast-paced sports analytics environment.

How much do NHL data scientists make?

NHL data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and the level of responsibility. Entry-level roles may start lower, while experienced professionals with advanced skills in data analysis, machine learning, and sports analytics can earn higher salaries. Compensation often includes benefits and opportunities for performance bonuses.

What are Internship NHL Data Science positions?

Internship NHL Data Science positions are temporary roles designed for students or recent graduates to work with the National Hockey League’s data science teams. These internships typically involve analyzing hockey-related data, building predictive models, and assisting with projects that help teams or the league make data-driven decisions. Interns gain hands-on experience with statistical analysis, machine learning, and sports analytics software. The goal is to support the NHL’s efforts to enhance player performance, fan engagement, and overall business strategies using data.

How much do NFL data scientists make?

NFL data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and the organization. They often work with advanced analytics tools and programming languages like Python or R to analyze game data and improve team performance.

How to become an NHL data analyst?

To become an NHL data analyst, candidates typically need a strong background in data science, statistics, or related fields, along with proficiency in programming languages like Python or R and experience with sports analytics tools. Gaining knowledge of hockey-specific data and metrics, as well as understanding game strategies, enhances effectiveness. Internships or entry-level roles in sports analytics can provide practical experience and industry connections.
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Data Science Intern

Athenago

Wilmington, DE

Part-time

Re-posted 21 hours ago

Job description

At Athena, we empower possibility through transformative delegation. True leaders reflect on what they want and map the path to get there. We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ongoing support throughout the journey. The result: 10x more leverage, more time, and a greater impact.

We are on a mission to build the best delegation platform in the world, leveraging Human+AI to provide superior experiences for delegating complex tasks.

Role Overview

The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and clients, delivering tailored recommendations based on robust data insights. You will actively contribute to enhancing our delegation platform by leveraging predictive modeling, data analytics, and optimization techniques.

Responsibilities

  • Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights.

  • Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover trends and generate actionable recommendations.

  • Collaborate closely with data science, product, and engineering teams to integrate models into production systems.

  • Present findings through clear reports, visualizations, or dashboards that inform business decisions and improve the client-XP matching process.

  • Support continuous model optimization and validation efforts.

Qualifications

  • Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields.

  • Proficiency in programming languages and data tools such as Python (with libraries like pandas, scikit-learn) and SQL for data manipulation.

  • Strong foundation in statistics and machine learning concepts (regression, classification, clustering) and familiarity with building predictive models.

  • Experience working with datasets - cleaning data, feature engineering, and using data visualization tools to present insights.

  • Excellent problem-solving abilities and attention to detail, with the ability to interpret data to make logical recommendations.

Preferred Qualifications

  • Familiarity with machine learning frameworks or libraries (e.g. TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models.

  • Prior exposure to recommendation algorithms or matching systems through coursework or projects.

  • Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake).

  • Previous internship or project experience demonstrating practical data science applications.

  • Understanding of human resource or matchmaking domains (e.g. matching candidates to roles or services to clients) is a plus.

Benefits

  • Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your growth.

  • Hands-On Experience: Work on real-world projects that have direct impact on Athena's services. You'll have ownership of meaningful tasks and contribute code to production-level systems, building your portfolio.

  • Inclusive Culture: Experience Athena's collaborative and inclusive culture firsthand. Interns participate in team meetings, social events, and all company perks - you'll be treated as an equal team member throughout your internship.

  • Path to Opportunities: A successful internship can pave the way to future roles at Athena.com. Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.

Apply