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Data Science Internship Jobs in Westbrook, ME (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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

West Coast Consulting

Jr. Data Scientist 00021

Westbrook, ME · On-site

$45 - $48/hr

  • Medical

  • Life

... internships, research, and coursework projects count) Strong working knowledge of Python and common data science libraries (pandas, scikit-learn, NumPy) Solid foundation in statistics, machine ...

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How much do data science internship jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data science internship in Westbrook, ME is $22.91, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $24.95 per hour, depending on experience, location, and employer.

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

As a Data Science Intern, you may be involved in projects such as analyzing datasets to uncover trends, building and testing predictive models, or creating visual reports to help stakeholders understand key findings. Interns often support ongoing research, assist with data cleaning and preprocessing, and collaborate on team projects under the guidance of experienced data scientists. Depending on the company's focus, you might also contribute to deploying models or automating data pipelines. These tasks are designed to give you practical experience with real-world data challenges and help develop your technical and analytical skills.

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

To thrive as a Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by progress towards a degree in a quantitative field. Familiarity with tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau, Power BI) is highly valued. Strong problem-solving skills, eagerness to learn, and effective communication are essential soft skills for this role. These abilities are crucial for drawing insights from data, collaborating with technical and non-technical colleagues, and contributing meaningfully to projects.

What are the most commonly searched types of Data Science jobs in Westbrook, ME?

The most popular types of Data Science jobs in Westbrook, ME are:

What cities near Westbrook, ME are hiring for Data Science Internship jobs?

Cities near Westbrook, ME with the most Data Science Internship job openings:

Data Science Internship jobs near you
Infographic showing various Data Science Internship job openings in Westbrook, ME as of August 2026, with employment types broken down into 7% Internship, 65% Full Time, 14% Part Time, and 14% Temporary. Highlights an 93% In-person, and 7% Hybrid job distribution, with an average salary of $47,649 per year, or $22.9 per hour.

Data Scientist

Northeastern University

Portland, ME • On-site

Full-time

Re-posted 26 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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