National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Scientist – Energy Trading...

Oceanredpartners
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Speech-To-Text

Senior Data Scientist - Speech-To-Text

Senior Data Scientist - Speech-To-Text

Senior Data Scientist - Speech-To-Text

Senior Data Scientist - Speech-To-Text

Senior Data Scientist - Speech-To-Text

Senior Data Scientist – Leading Energy Trading

Location: London
Employment Type: Full-time, Permanent

Are you a data scientist with a passion for analytics and energy markets? This is your chance to shape the future of energy trading with a global leader specializing in the European gas and power markets.

Why Join Us?

  • Cutting-Edge Innovation: Be at the forefront of leveraging data science and machine learning to transform energy trading strategies.
  • Impactful Work: Lead projects with real-world influence on trading performance and decision-making.
  • Career Growth: Thrive in a high-performing team where your skills are valued, and your contributions make a tangible impact.
  • Outstanding Rewards: Competitive salary, performance bonuses, and equity participation in our long-term growth.
  • Team Excellence: Work alongside exceptional colleagues committed to lifelong learning and innovation.

    Your Role

    As a Senior Data Scientist, you’ll play a pivotal role in shaping trading strategies and optimizing performance through advanced analytics and predictive modelling. Partnering with cross-functional teams, you’ll deliver actionable insights and drive innovation in the European gas and power trading landscape.

    Key Responsibilities

  • Analyse complex datasets to derive insights that drive critical business decisions.
  • Design and deploy predictive models to optimize trading strategies and enhance market forecasting.
  • Collaborate with cross-functional teams to understand business needs and deliver impactful, data-driven solutions.
  • Apply cutting-edge advancements in machine learning and data science to refine trading performance.
  • Communicate findings to stakeholders to support strategic and operational excellence.

    What You’ll Bring

  • Experience: 3+ years in data science, preferably in gas and power trading.
  • Expertise: Strong Python skills, machine learning proficiency, and data visualization capabilities.
  • Academic Background: Degree in Computer Science, Mathematics, Statistics, or a related field.
  • Problem-Solving Skills: Exceptional analytical abilities to tackle complex challenges.
  • Collaboration: Effective communicator and team player with cross-functional experience in dynamic environments.

    Ready to Lead and Innovate?

    This is your opportunity to join a high-impact, fast-paced environment where you’ll have the autonomy to drive projects and decisions.

    If you’re ready to take your career to the next level and make a difference in energy trading, apply today.

    GDPR * Yes, I agree with the privacy policy and terms and conditions.

    #J-18808-Ljbffr
National AI Awards 2025

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.

Careers Jobs

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

Jobs Careers

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

Jobs

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.