Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Trading Data Scientist - Commodities (Oil) - Up To £200k Total Comp

Saragossa
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Trading

Data Scientist

Energy Data Scientist - Short-Term Power Markets

Senior Data Scientist

Data Scientist

Graduate Data Scientist

Deploy the power of data science for the present and future of various energy markets.This company work across various energy and commodities markets across the world. We appreciate that not everyone wants to work within Oil and Gas trading, however, becoming one of the key Data Scientists in the business, part of your role will be to look at more sustainable options for trading all kinds of commodities products.You’re going to be a key part of the Data Science team in London, with the team based in the US and London. You’ll work closely with Heads of Trading Desks, Traders and Researchers to understand all aspects of the data flows across the business and you’ll work closely with these stakeholders building various models and data products.There’s a range of projects to sink your teeth into upon arrival, where you’ll work on all parts of the process from data generation through to the implementation of the models. You’ll be accountable for the results, and you’ll work even closer with the teams to explain what’s happening.You’re going to need to come in with solid experience of building demand forecasting models into production (within oil trading), from conception through to implementation, therefore you’ll need strong Python and SQL skills, along with strong time series knowledge and experience as a minimum. An understanding of the commodities markets is also a requirement for the client.This is a global commodities trading firm with a great pedigree in the energy trading markets. You can expect a salary up to £130,000 plus a flexible/competitive bonus (discretionary) in the best years of performance. There’s a range of other benefits on offer including medical, dental and life insurance, pension, employee discount programs and more.Want to change the future of commodity and energy markets? Get in touch.No up-to-date CV required.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.