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Internship Football Data Science Jobs in Maine (NOW HIRING)

Northeastern University

Data Scientist

Portland, ME · On-site

... data science or machine learning. • Experience gained through internships, co-ops, academic ... research, or applied capstone projects is acceptable. • Solid understanding of statistical ...

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

... in data science or machine learning. * Experience gained through internships, co-ops, academic research, or applied capstone projects is acceptable. * Industry experience is preferred. Knowledge ...

NorthEastern

Data Scientist

Portland, ME

$87K - $123K/yr

... in data science or machine learning. * Experience gained through internships, co-ops, academic research, or applied capstone projects is acceptable. * Industry experience is preferred. Knowledge ...

American Heart Association

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

American Heart Association

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

American Heart Association

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

American Heart Association

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

American Heart Association

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

American Heart Association

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

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All JobsFootball Data Science JobsInternship Football Data Science JobsInternship Football Data Science Jobs in Maine

Internship Football Data Science information

What is an internship football data science?

Internship Football Data Science positions are temporary roles designed for students or early-career professionals interested in applying data science techniques to football (soccer) analytics. Interns in these roles assist with collecting, processing, and analyzing football data to derive insights that can help teams with performance analysis, scouting, and strategy. Typical tasks include working with large datasets, using statistical models, and creating visualizations to inform coaching staff or management. These internships provide valuable hands-on experience and can lead to full-time opportunities in sports analytics.

What types of projects or tasks can I expect to work on during an internship in football data science?

As a Football Data Science intern, you'll typically assist with tasks like collecting, cleaning, and analyzing match or player data using tools such as Python or R. You may contribute to building statistical models to evaluate player performance or team tactics, and create data visualizations to help coaching staff make informed decisions. Collaboration is common with analysts, coaches, and sometimes software developers, offering a broad view of how data-driven insights impact real-time football decisions. This hands-on experience builds both technical and communication skills, preparing you for future roles in sports analytics.

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

To thrive as an Internship Football Data Science, you need a solid background in statistics, data analysis, and programming (often with a degree in mathematics, computer science, or related fields). Familiarity with technical tools such as Python, R, SQL, and data visualization platforms, as well as experience with sports analytics software, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and present actionable insights to coaches and analysts. These competencies enable interns to contribute meaningful analysis that can inform strategies and improve team performance.

What is the difference between Internship Football Data Science vs Football Data Analyst?

AspectInternship Football Data ScienceFootball Data Analyst
Required CredentialsRelevant coursework, basic programming skillsDegree in data science, statistics, or related field
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Employer & Industry UsageSports teams, analytics startups, research projectsProfessional sports organizations, clubs, analytics firms
Search & Comparison IntentEntry-level roles, internships, learning opportunitiesCareer advancement, professional data analysis roles

Internship Football Data Science positions are entry-level opportunities focused on learning and supporting data projects in football. In contrast, Football Data Analysts are professional roles requiring more experience and specialized skills, responsible for analyzing and interpreting football data to inform decisions.

What cities in Maine are hiring for Internship Football Data Science jobs?

Cities in Maine with the most Internship Football Data Science job openings:

Internship Football Data Science jobs near you

Data Scientist

Portland, ME • On-site

Northeastern University
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about Northeastern Universityexternal

Full-time

Re-posted 3 days ago

Job description

Job Summary:
Northeastern University is seeking a Data Scientist for a full-time, one-year term appointment at their Roux Institute in Portland, Maine. The role focuses on supporting the development and delivery of AI and data science solutions, involving data analysis, feature engineering, model development, and collaboration with senior professionals in the field.
Responsibilities:
• Perform data cleaning, exploratory data analysis (EDA), and feature engineering.
• Train, evaluate, and compare machine learning models under supervision.
• Assist with model validation, performance monitoring, and documentation.
• Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.
• Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
• Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
• Willingness to participate in client meetings in a supporting role.
Qualifications:
Required:
• Master’s degree (required) or Ph.D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field.
• 0–2 years of industry, research, or applied project experience in data science or machine learning.
• Experience gained through internships, co-ops, academic research, or applied capstone projects is acceptable.
• Solid understanding of statistical methods, regression, hypothesis testing, and basic experimental design.
• Hands-on experience with classical machine learning methods such as linear/logistic regression, decision trees, and gradient boosting.
• Familiarity with deep learning concepts and modern architectures (e.g., convolutional neural networks or transformers); deep specialization is not required.
• Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn).
• Working knowledge of SQL and relational databases.
• Familiarity with at least one ML or deep learning framework (e.g., PyTorch, TensorFlow, HuggingFace).
• Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
• Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
• Willingness to participate in client meetings in a supporting role.
• Awareness of ethical AI principles including fairness, transparency, and responsible model use.
• Willingness to follow established governance, documentation, and review practices.
• Strong curiosity and motivation to learn new tools, techniques, and AI methods.
• Openness to feedback and mentorship.
• Ability to manage assigned tasks, meet deadlines, and maintain high-quality work.
• Proactive attitude and willingness to take increasing responsibility over time.
Preferred:
• Industry experience is preferred.
• Exposure to NLP, computer vision, or speech processing through coursework or academic/industry projects.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Understanding of software development best practices such as version control (Git) and Agile workflows.
Company:
Founded in 1898, Northeastern is a global research university with a distinctive, experience-driven approach to education and discovery. Founded in 1898, the company is headquartered in Boston, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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