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Internship Implementation Science Jobs (NOW HIRING)

Air

Implementation Engineer

Arlington, VA · On-site

... Science, Data Science, International Relations, Political Science, International Security or ... or internships, performing national security-related analytics; preference for research ...

Air

Implementation Engineer

Arlington, VA · On-site

... Science, Data Science, International Relations, Political Science, International Security or ... or internships, performing national security-related analytics; preference for research ...

Air

Implementation Engineer

Arlington, VA · On-site

... Science, Data Science, International Relations, Political Science, International Security or ... or internships, performing national security-related analytics; preference for research ...

FourKites

Associate Implementation Manager

Chicago, IL · On-site

Recent graduate with a BS (Bachelor of Science) in math, statistics, economics, engineering, or a ... Exposure via coursework or internships to enterprise software, business processes, or project based ...

FourKites

Associate Implementation Manager

Chicago, IL · On-site

Recent graduate with a BS (Bachelor of Science) in math, statistics, economics, engineering, or a ... Exposure via coursework or internships to enterprise software, business processes, or project based ...

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Internship Implementation Science information

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How much do internship implementation science jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship implementation science in the United States is $17.32, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $18.99 per hour, depending on experience, location, and employer.

What is the difference between Internship Implementation Science vs Implementation Scientist?

AspectInternship Implementation ScienceImplementation Scientist
Required CredentialsTypically pursuing or recent graduate, often with a relevant degreeAdvanced degree (Master's or PhD) in health, public health, or related fields
Work EnvironmentInternship programs, educational settings, research projectsResearch institutions, healthcare organizations, government agencies
Employer & Industry UsageAcademic institutions, research centers, non-profitsHealthcare systems, government agencies, consulting firms
Common Search & Comparison IntentUnderstanding entry-level roles and learning opportunitiesUnderstanding professional roles and career progression

Internship Implementation Science is an entry-level or training position focused on gaining practical experience in applying implementation science principles. In contrast, an Implementation Scientist is a professional with advanced education and experience leading research and projects in implementation science. The internship provides foundational exposure, while the scientist role involves independent work and strategic planning in the field.

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Internship Implementation Science jobs near you
Infographic showing various Internship Implementation Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution, with an average salary of $36,035 per year, or $17.3 per hour.

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

Full-time

Re-posted yesterday

Job description

Application Deadline: September 1, 11:59pm EST
Program Summary - Commercial Technology Internships
Company Overview:
Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.
Position Overview:
CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.
Responsibilities:
  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:
  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.

Apply