Summer internships science Work, Jobs in London, Eng (with Salaries)

Data Science Machine Learning Internship (Summer 2027)
Castleton Commodities International —London
- Full-time
- Analysis skills
- Bachelor's degree
- Machine learning
3d
Systems Engineering Intern (London) - Summer 2027
D. E. Shaw & Co., L.P. —London
- Computer Science
- Engineering
- Bachelor's degree
AI Innovation Summer Internship
Gravitee —London
- Seasonal
- Hybrid work
- Computer Science
- Engineering
- APIs
Data Science Internship
G-Research —London
- Doctoral degree
- Data analysis skills
- Master's degree
- Annual leave
2d
Commodities Trading Summer Analyst Internship Programme (Summer 2027)
Castleton Commodities International —London
- Full-time
- Engineering
- SQL
- Analysis skills
3d
Data Engineering Internship (Summer 2027)
Castleton Commodities International —London
- Full-time
- Azure
- Computer Science
- Engineering
3d
Front Office Software Engineer Internship (Summer 2027)
Castleton Commodities International —London
- Full-time
- Computer Science
- Engineering
- Master's degree
3d
Internship Programme 2027: Data Scientist and Analyst
Revolut —London
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
Machine Learning Research Internship
G-Research —London
- Full-time
- Doctoral degree
- Machine learning
- Internship
- Annual leave
Internship Programme 2027: Software Engineer (Frontend)
Revolut —London
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
Quant Research Internship
G-Research —London
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Annual leave
2d
Internship Programme 2027: Software Engineer (Python)
Revolut —London
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
Internship Programme 2027: Information Security Engineer (Operations)
Revolut —London
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
Internship Programme 2027: Information Security Engineer (Appsec)
Revolut —London
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
2026 Machine Learning Center of Excellence Summer Associate - Time Series & Reinforcement Learning Internship - (6 months)
JPMorganChase —London
- Full-time
- Doctoral degree
- Maths
- Machine learning
7d
Commodities Trading Rotational Analyst Graduate Programme (2027 Start)
Castleton Commodities International —London
- Full-time
- Engineering
- SQL
- Analysis skills
- Annual leave
- Employee discount
3d
2026 Machine Learning Center of Excellence (NLP)-Internship
JPMorganChase —London
- Full-time
- Hybrid work
- Doctoral degree
- Maths
- Machine learning
Internship Programme 2027: Software Engineer (Java)
Revolut —London
- Full-time
- Hybrid work
- Computer Science
- English
- Java
Natural Language Processing Internship
G-Research —London
- Full-time
- Doctoral degree
- Maths
- Machine learning
- Annual leave
Internship Programme 2027: Software Engineer (Android)
Revolut —London
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree

I want to receive the latest job alerts for summer internships science in london, eng

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International -
London

Apply Now

Job details

Full-time
3 days ago

Qualifications

NumPy
Mathematics
Pandas
Analysis skills
Bachelor's degree
Machine learning
Regression analysis
Python

Full job description

Application Deadline: September 1, 2026 at 11:59 pm EST

Program Summary - Data Science & Technology Internship

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 a motivated and detail-oriented Machine Learning Intern with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in our London office. 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 Now

Refine Your Search

summer internships science jobs in london, eng

Data Science Machine Learning Internship (Summer 2027)

Systems Engineering Intern (London) - Summer 2027

AI Innovation Summer Internship

Data Science Internship

Commodities Trading Summer Analyst Internship Programme (Summer 2027)

Data Engineering Internship (Summer 2027)

Front Office Software Engineer Internship (Summer 2027)

Internship Programme 2027: Data Scientist and Analyst

Machine Learning Research Internship

Internship Programme 2027: Software Engineer (Frontend)

Quant Research Internship

Internship Programme 2027: Software Engineer (Python)

Internship Programme 2027: Information Security Engineer (Operations)

Internship Programme 2027: Information Security Engineer (Appsec)

2026 Machine Learning Center of Excellence Summer Associate - Time Series & Reinforcement Learning Internship - (6 months)

Commodities Trading Rotational Analyst Graduate Programme (2027 Start)

2026 Machine Learning Center of Excellence (NLP)-Internship

Internship Programme 2027: Software Engineer (Java)

Natural Language Processing Internship

Internship Programme 2027: Software Engineer (Android)

I want to receive the latest job alerts for summer internships science in london, eng

Related Searches

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected