Senior Data Scientist - Trading

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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.