Senior Data Scientist - Energy Trading

Posted 27 days 14 hours ago by Oceanredpartners

Permanent
Full Time
Academic Jobs
London, United Kingdom
Job Description

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.