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- Tasks: Develop algorithms for trading and manage live assets in a dynamic environment.
- Company: Field is a leader in renewable energy, driving Europe's clean energy transition with innovative solutions.
- Benefits: Enjoy a competitive salary, hybrid work options, wellness perks, and a generous learning budget.
- Why this job: Join a passionate team influencing revenue growth while working on cutting-edge technology in energy trading.
- Qualifications: 3+ years in Trading, Data Science, or related fields; strong Python skills and market knowledge required.
- Other info: Flexible hours and on-call duties are essential due to the 24/7 nature of the energy market.
The predicted salary is between 100000 - 130000 £ per year.
This job is brought to you by Jobs/Redefined, the UK\’s leading over-50s age inclusive jobs board. Senior Data Scientist – Trading Department: Technology Employment Type: Permanent – Full Time Location: UK – London Reporting To: Beth Rice Compensation: GBP 110,000 – GBP 130,000 / year Description At Field, we have developed Gaia, an automated energy trading platform. Since its deployment in November 2024 for our first physical asset in GB, we continually improve our algorithms. Over the coming years, Gaia will be deployed on more GB assets and across Europe (Germany, Italy, Spain). You will be part of a small, dynamic team of certified power traders, influencing revenue growth. You will collaborate with platform engineers, data scientists, executives, and commercial teams. This role requires flexibility in working hours and participation in an on-call rotation, as the energy market operates 24/7, 365 days a year, especially for emergency response and unplanned scenarios. Key Responsibilities Develop algorithms for trading, forecasting, and revenue co-optimization across multiple markets Manage live trading and physical assets, providing 24/7 support Deploy and maintain mission-critical real-time software Inform and override algorithms in volatile market conditions Present trading results to senior management Identify gaps in trading strategies through backtesting and competitor analysis, then improve them Contribute to product roadmap development Skills, Knowledge & Expertise A bit about you Prepared for an operational role involving power market trading, with flexibility for on-call duties Effective communicator, capable of explaining complex concepts to technical and non-technical audiences Autonomous, proactive, and positive approach to work Enthusiastic about learning new and complex topics quickly Candidates from backgrounds such as Trading, Data Science, Data Analytics, Operations Research, or related fields with at least 3 years of experience are encouraged to apply. Essential Skills Experience with UK or European power markets Development and deployment of algorithmic trading strategies Data-driven decision making Proficiency in Python for data analysis, visualization, and manipulation Effective communication of complex topics Strong knowledge of probability and statistics Desirable Skills Additional expertise in the following areas is a plus: European power markets (Germany, Italy, Spain) Advanced numerical methods (time-series analysis, machine learning, linear programming, stochastic optimization) Developing and maintaining mission-critical software Operational environment experience Job Benefits Salary: GBP 110,000 – GBP 130,000 Includes participation in an employee share scheme, wellbeing investments, and various perks such as: Up to 10% performance bonus Hybrid working arrangement Work from anywhere policy for one month annually Private medical insurance from day one Nest Pension (8%) Office in Shoreditch, London, dog-friendly environment Weekly team lunches Enhanced parental leave policies GBP 2,000 annual learning & development budget At Field, we\’re committed to building renewable infrastructure and leading Europe\’s clean energy transition, aiming to demonstrate the viability of batteries now, not in the future, with ambitious expansion plans beyond batteries into new assets. #J-18808-Ljbffr
Contact Detail:
FIELD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Trading
✨Tip Number 1
Familiarise yourself with the UK and European power markets, especially if you have experience in trading. Understanding market dynamics will help you stand out during discussions with our team.
✨Tip Number 2
Brush up on your Python skills, particularly in data analysis and visualisation. Being able to demonstrate your proficiency in these areas can significantly enhance your candidacy.
✨Tip Number 3
Prepare to discuss your experience with algorithmic trading strategies. Be ready to share specific examples of how you've developed or improved trading algorithms in previous roles.
✨Tip Number 4
Showcase your ability to communicate complex concepts clearly. Think of ways to explain your past projects to both technical and non-technical audiences, as this skill is crucial for collaboration at Field.
We think you need these skills to ace Senior Data Scientist - Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and trading. Emphasise your proficiency in Python and any experience with algorithmic trading strategies, especially in UK or European power markets.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to develop algorithms and manage live trading operations.
Highlight Relevant Skills: In your application, clearly outline your skills in data-driven decision making, probability, and statistics. If you have experience with advanced numerical methods or operational environments, make sure to include those as well.
Showcase Communication Skills: Since effective communication is key for this role, provide examples of how you've successfully explained complex concepts to both technical and non-technical audiences in your previous roles.
How to prepare for a job interview at FIELD
✨Understand the Energy Market
Familiarise yourself with the UK and European power markets, especially how they operate 24/7. Being able to discuss current trends and challenges in energy trading will show your genuine interest and expertise.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and algorithmic trading strategies. Highlight specific projects where you've developed or deployed algorithms, and be ready to explain your decision-making process using data-driven insights.
✨Communicate Complex Concepts Clearly
Practice explaining complex data science concepts in simple terms. This role requires effective communication with both technical and non-technical audiences, so demonstrating your ability to bridge that gap will be crucial.
✨Demonstrate Proactivity and Flexibility
Emphasise your proactive approach to problem-solving and your willingness to adapt to the demands of an operational role. Share examples of how you've successfully managed unexpected challenges in previous positions.
