Data scientist Work, Jobs in Eng (with Salaries)

Data Science Machine Learning Internship (Summer 2027)
Castleton Commodities International —London
- Full-time
- Analysis skills
- Maths
- Bachelor's degree
Graduate Programme 2027: Data Scientist and Analyst
Revolut —London
- £10,800 a month
- Full-time
- Hybrid work
- English
- Maths
- Communication skills
Data Scientist
Prima —London
- £80,000 - £160,000 a year
- Hybrid work
- English
- Analysis skills
- Machine learning
- Work from home
Quick apply
Data Scientist – Agentic AI - Permanent UK
Satalia —London
- Remote
- Computer Science
- APIs
- AI
- Flexible schedule
Graduate Data Scientist
G MASS —London
- £30,000 - £35,000 a year
- Hybrid work
- Computer Science
- Machine learning
- APIs
Quick apply
Data Scientist I
MarketCast UK —London
- Hybrid work
- Computer Science
- Master's degree
- AWS
- Annual leave
- Flexitime
Quick apply
Data Scientist in Predictive Analytics KTP Associate
University of Portsmouth —Portsmouth
- £36,000 a year
- Full-time
- Hybrid work
- University
- Employee discount
9d
Junior Data Scientist - AI Practice Team
American Bureau of Shipping (ABS) —Warrington
- Full-time
- SQL
- Bachelor's degree
- AI
Data Scientist - ML Ops
Transport for London —Pier
- £72,000 - £85,000 a year
- Full-time
- Hybrid work
- Presentation skills
- Agile
- AI
- Annual leave
- Employee discount
18h
Machine Learning Scientist
University of Oxford —Oxford
- £39,424 - £43,984 a year
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Software development
Graduate Machine Learning Researcher - Chicago
IMC Financial Markets —London
- £300,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Research
- Annual leave
Data Scientist
DAINTTA —London
- £61,000 - £83,000 a year
- Full-time
- Hybrid work
- Presentation skills
- Annual leave
- Employee assistance programme
Quick apply
Data Scientist
Billing Finance —Northampton
- £55,000 - £60,000 a year
- Hybrid work
- Machine learning
- Analytics
- Employee assistance programme
Data Scientist
Sage —London
- £69,000 - £74,000 a year
- Hybrid work
- Azure
- In-person
- AI
- Annual leave
Data Scientist (London)
The Voleon Group —London
- Full-time
- Hybrid work
- Master's degree
- Maths
- Bachelor's degree
- Referral programme
Data Scientist
Referrals Only —London
- £55,000 - £75,000 a year
- Part-time
- Remote
- Flexible schedule
5d
Data Scientist
Trainline —London
- Full-time
- Hybrid work
- Communication skills
- Analytics
Math, Physics & Engineering Graduates
Prima —London
- £80,000 - £160,000 a year
- Hybrid work
- English
- Analysis skills
- Maths
- Work from home
Quick apply
Internship Programme 2027: Data Scientist and Analyst
Revolut —London
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
Data Science Internship
G-Research —London
- Doctoral degree
- Research
- Master's degree
- Annual leave

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Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International -
London

Apply Now

Job details

Full-time

Qualifications

Mathematics
Statistical analysis
Analysis skills
Maths
Bachelor's degree
Machine learning modelling
Deep learning
Regression analysis
Data science

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

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