Field Energy
Senior Data Scientist - Trading Department: Technology Employment Type: Permanent - Full Time Location: UK - London Reporting To: Beth Rice Compensation: £110,000 - £130,000 / year Description At Field, we have spent the last few years developing our automated energy trading platform, Gaia. We deployed Gaia to trade in real-time for our first physical asset in GB in early November 2024. We are improving our algorithms all the time, and over the coming years we will be deploying Gaia on more GB assets as well as assets across Europe (Germany, Italy and Spain). You will be part of a small, fast moving team of certified power traders, wearing multiple hats, and you will have a tangible impact shaping how we increase revenue. You will be working with people across the organisation: platform engineers, data scientists, the executive team, commercial operations, and more. This is an operational role and the candidate will need to be flexible regarding their working hours, and be in a position to participate in an on-call rotation as part of a small team. The market is 24 hours a day, 365 days a year, and you will be one of the key responders for any aspect of trading that requires humans in the loop, such as responding to unplanned or emergency scenarios. This is an exciting time to join Field, right at the core of the business. In the next few years our team's responsibility will expand rapidly as we improve Gaia and deploy it for dozens of assets in the UK and across Europe. Key Responsibilities This is a broad and varied role with the opportunity to have massive impact. As part of the team, you will: Develop algorithms to trade, forecast and co-optimise revenues across multiple markets Be part of the team that manages live trading and physical assets, and provide 24/7 support Deploy and maintain real-time, mission-critical software Develop the ability to inform and/or override algorithmic decisions in volatile market conditions Present trading results to senior management Identify gaps in our trading strategy from backtests and competitor analysis, and improve and iterate on our trading strategies Drive the development of the product roadmap Skills, Knowledge & Expertise A bit about you You're up for an operational role and are keen to get stuck into trading in the power markets. You are happy to be flexible with working hours and are able to be on-call . You're a clear, impactful communicator , able to articulate complex concepts to technical and non-technical audiences. You thrive in autonomous work environments with a positive and proactive approach. You're excited to learn - you enjoy learning about new and complex topics and are able to pick them up quickly. We are interested in candidates from a variety of backgrounds such as Trading, Data Science, Data Analytics, Operations Research or related fields, with a minimum of 3 years experience. Essential Skills Experience in the UK or European power markets Development and deployment of algorithmic trading strategies Demonstrable experience drawing conclusions from data to make impactful decisions Expert in Python development for data manipulation, analysis, visualisation and more Ability to communicate complex topics and results effectively at all levels Strong applied probability and statistics knowledge Desirable Skills In addition to the core skills above, we are looking to hire candidates who have expertise in a subset of the following: Multiple European power markets (especially Germany, Italy, and/or Spain) Advanced numerical methods such as time-series analysis, machine learning, linear programming, or stochastic optimisation/modelling Developing, deploying, and maintaining mission-critical software Working in an operational environment Job Benefits Salary: £110,000 - £130,000 We're offering a competitive compensation package, including participation in our employee share scheme which rewards all employees for the growth of the business. You'll be awarded shares when you join, which will vest over four years - and as the business grows in size and value, so will your shares! We value our team's wellbeing and belonging so we invest approx £5,000 a year on a range of perks, benefits and wellbeing activities, including regular team socials and events. Other benefits include: Up to 10% company wide bonus based on company performance Hybrid working (blend of home and office working to suit individual needs) 1 month a year work from anywhere in the world policy Private medical cover with Bupa from day one with the option to add family members Nest Pension (8% combined contributions) on qualifying earnings Fun co-working office space in Shoreditch, London Dog friendly office (with some regular furry friends already in the team) Free team lunch once a week Enhanced parental leave, for all new parents: 6 months fully paid primary carer leave 3 months fully paid secondary carer leave 10 days fully paid leave for fertility treatment £2,000 annual learning & development budget to spend on whatever best supports your growth To reach Net Zero, we need to solve big challenges. Field will fund, build and run the renewable infrastructure we need to tackle these challenges. At Field, we will show that batteries are a totally viable part of our energy infrastructure - now , not in some distant future. And, we have ambitious plans to become the defining new clean energy player in Europe over the next few years, gradually expanding beyond batteries into new asset types.
Senior Data Scientist - Trading Department: Technology Employment Type: Permanent - Full Time Location: UK - London Reporting To: Beth Rice Compensation: £110,000 - £130,000 / year Description At Field, we have spent the last few years developing our automated energy trading platform, Gaia. We deployed Gaia to trade in real-time for our first physical asset in GB in early November 2024. We are improving our algorithms all the time, and over the coming years we will be deploying Gaia on more GB assets as well as assets across Europe (Germany, Italy and Spain). You will be part of a small, fast moving team of certified power traders, wearing multiple hats, and you will have a tangible impact shaping how we increase revenue. You will be working with people across the organisation: platform engineers, data scientists, the executive team, commercial operations, and more. This is an operational role and the candidate will need to be flexible regarding their working hours, and be in a position to participate in an on-call rotation as part of a small team. The market is 24 hours a day, 365 days a year, and you will be one of the key responders for any aspect of trading that requires humans in the loop, such as responding to unplanned or emergency scenarios. This is an exciting time to join Field, right at the core of the business. In the next few years our team's responsibility will expand rapidly as we improve Gaia and deploy it for dozens of assets in the UK and across Europe. Key Responsibilities This is a broad and varied role with the opportunity to have massive impact. As part of the team, you will: Develop algorithms to trade, forecast and co-optimise revenues across multiple markets Be part of the team that manages live trading and physical assets, and provide 24/7 support Deploy and maintain real-time, mission-critical software Develop the ability to inform and/or override algorithmic decisions in volatile market conditions Present trading results to senior management Identify gaps in our trading strategy from backtests and competitor analysis, and improve and iterate on our trading strategies Drive the development of the product roadmap Skills, Knowledge & Expertise A bit about you You're up for an operational role and are keen to get stuck into trading in the power markets. You are happy to be flexible with working hours and are able to be on-call . You're a clear, impactful communicator , able to articulate complex concepts to technical and non-technical audiences. You thrive in autonomous work environments with a positive and proactive approach. You're excited to learn - you enjoy learning about new and complex topics and are able to pick them up quickly. We are interested in candidates from a variety of backgrounds such as Trading, Data Science, Data Analytics, Operations Research or related fields, with a minimum of 3 years experience. Essential Skills Experience in the UK or European power markets Development and deployment of algorithmic trading strategies Demonstrable experience drawing conclusions from data to make impactful decisions Expert in Python development for data manipulation, analysis, visualisation and more Ability to communicate complex topics and results effectively at all levels Strong applied probability and statistics knowledge Desirable Skills In addition to the core skills above, we are looking to hire candidates who have expertise in a subset of the following: Multiple European power markets (especially Germany, Italy, and/or Spain) Advanced numerical methods such as time-series analysis, machine learning, linear programming, or stochastic optimisation/modelling Developing, deploying, and maintaining mission-critical software Working in an operational environment Job Benefits Salary: £110,000 - £130,000 We're offering a competitive compensation package, including participation in our employee share scheme which rewards all employees for the growth of the business. You'll be awarded shares when you join, which will vest over four years - and as the business grows in size and value, so will your shares! We value our team's wellbeing and belonging so we invest approx £5,000 a year on a range of perks, benefits and wellbeing activities, including regular team socials and events. Other benefits include: Up to 10% company wide bonus based on company performance Hybrid working (blend of home and office working to suit individual needs) 1 month a year work from anywhere in the world policy Private medical cover with Bupa from day one with the option to add family members Nest Pension (8% combined contributions) on qualifying earnings Fun co-working office space in Shoreditch, London Dog friendly office (with some regular furry friends already in the team) Free team lunch once a week Enhanced parental leave, for all new parents: 6 months fully paid primary carer leave 3 months fully paid secondary carer leave 10 days fully paid leave for fertility treatment £2,000 annual learning & development budget to spend on whatever best supports your growth To reach Net Zero, we need to solve big challenges. Field will fund, build and run the renewable infrastructure we need to tackle these challenges. At Field, we will show that batteries are a totally viable part of our energy infrastructure - now , not in some distant future. And, we have ambitious plans to become the defining new clean energy player in Europe over the next few years, gradually expanding beyond batteries into new asset types.
SSE
Glasgow, Lanarkshire
We're proud to have been a Principal Partner for COP26 , the UN Climate Change Conference, and are leading the way to provide the energy needed now, while building a better world of energy for tomorrow. To reach net zero by 2050, we're looking for people who can bring big ideas, new skills and innovative thinking to help us build a world that's more sustainable and inclusive for you, your family, the community you live in and for generations to come. So join us on our journey to net zero and help us power change. Base Location: Reading, Havant, Perth, Glasgow, Edinburgh or Aberdeen Salary: Circa £80,000 + performance-related bonus + a range of other benefits to support your family, finances and wellbeing. Working Pattern: Permanent | Full Time | Flexible First options available About the Role This role sits within Energy Portfolio Management, which provide Route to Market and Risk Management services to SSE's Thermal, Renewable and Business Energy divisions. The Data Scientist role will work within the Advanced Analytics team which is focussed on building a modern data platform in Microsoft Azure and sophisticated analytical solutions using Machine Learning and AI. The bulk of the data scientist's work will be developing advanced models and processes to aid forecasting and Trading decision support. Working with our business and IT teams, the Advanced Analytics teams goals are to increase business value by delivering sophisticated solutions effectively into production for our stakeholders (for example traders, business/data analysts, senior management). Key Responsibilities: - Work in agile teams delivering proof of concepts directly with the business. - Build state of the art machine learning models and data visualizations. - Interpret and effectively communicate insights to the business and senior executives. - Advise on appropriate technical solutions to business problems. - Provide a critical review of potential solutions from team members and analytics partners. - Provide direction and guidance to more junior members of the team. - Take ownership of domain areas or methodologies for the data science team. - Mentor more junior members of the team. - Ensure the data science team are using state of the art techniques. - Support the ongoing development of the Advanced Analytics team's capabilities and strategy. What do I need? - Extensive experience applying data science / machine learning / AI to solve business problems. - Experience working with state of the art data science, modelling & visualization techniques. - Experience working with complex datasets. - Experience managing senior stakeholders andexecutive communication. - Broad and deep knowledge in data science, machine learning & artificial intelligence. - Essential Functional / Technical Skills. - Degree in Mathematics, Physics, Computer Science, Engineering or related quantitative discipline. - Master's degree or PhD in a related subject such as Data Science or Artificial Intelligence, or equivalent knowledge developed through training or professional experience. - Strong programming skills: Python (Pandas, Numpy, PySpark, Jupyter, etc...) advantageous Git - Azure or similar cloud experience including Azure ML Services or similar, Azure Data Factory, DataBricks. About our Business Energy Portfolio Management (EPM) is the energy markets heart of the SSE Group, securing value for SSE's asset portfolios in wholesale energy markets as we move towards our vision of being a leading energy company in a net zero world. We play a critical role as the short-term energy market asset optimiser, and a long-term energy market adviser, for all SSE's Business Units (across SSE's Wind, Hydro, Low Carbon Thermal, Distributed Energy and Customer portfolios). This role for EPM enables SSE to focus its investment in energy markets capabilities (including Trading, Risk Management, Energy Economics and Advanced Analytics) in one centre of excellence, with these enhanced capabilities supporting value creation and decision making across the SSE Group. Life at SSE If you're considering a career with us, you're probably wondering what's in it for you? From health and wellness to finances and family, we're proud of our benefits package which includes 34 days holiday (plus the option to buy additional days), enhanced maternity and paternity leave, discounted healthcare and a wide range of offers via our SSE Advantage scheme. At SSE we're proud to celebrate difference. We all have different skills, experience and backgrounds and we strive to have a friendly and inclusive culture where you can be yourself. We take pride in a job well done and share the belief that an inclusive culture is key to our success and vision for the future. Above all, safety is at the heart of everything we do at SSE and we live by the mantra 'if it's not safe, we don't do it'. SSE is an equal opportunity employer. We encourage diversity and are committed to creating an inclusive environment for all employees. We actively encourage applicants from all protected characteristics and commit to providing any reasonable adjustments required during the application and assessment process, and upon joining SSE. Next Steps All applications should be submitted online, and I'll be back in touch after the vacancy closing date to let you know the outcome. If you would like to discuss any working differently requirements or adjustments you may require throughout the recruitment and selection process, please contact / . Before commencing employment with SSE, you'll be required to fully complete our pre-employment screening process consisting of a basic criminal records and credit check. #LI-DB1 #LI-Hybrid
We're proud to have been a Principal Partner for COP26 , the UN Climate Change Conference, and are leading the way to provide the energy needed now, while building a better world of energy for tomorrow. To reach net zero by 2050, we're looking for people who can bring big ideas, new skills and innovative thinking to help us build a world that's more sustainable and inclusive for you, your family, the community you live in and for generations to come. So join us on our journey to net zero and help us power change. Base Location: Reading, Havant, Perth, Glasgow, Edinburgh or Aberdeen Salary: Circa £80,000 + performance-related bonus + a range of other benefits to support your family, finances and wellbeing. Working Pattern: Permanent | Full Time | Flexible First options available About the Role This role sits within Energy Portfolio Management, which provide Route to Market and Risk Management services to SSE's Thermal, Renewable and Business Energy divisions. The Data Scientist role will work within the Advanced Analytics team which is focussed on building a modern data platform in Microsoft Azure and sophisticated analytical solutions using Machine Learning and AI. The bulk of the data scientist's work will be developing advanced models and processes to aid forecasting and Trading decision support. Working with our business and IT teams, the Advanced Analytics teams goals are to increase business value by delivering sophisticated solutions effectively into production for our stakeholders (for example traders, business/data analysts, senior management). Key Responsibilities: - Work in agile teams delivering proof of concepts directly with the business. - Build state of the art machine learning models and data visualizations. - Interpret and effectively communicate insights to the business and senior executives. - Advise on appropriate technical solutions to business problems. - Provide a critical review of potential solutions from team members and analytics partners. - Provide direction and guidance to more junior members of the team. - Take ownership of domain areas or methodologies for the data science team. - Mentor more junior members of the team. - Ensure the data science team are using state of the art techniques. - Support the ongoing development of the Advanced Analytics team's capabilities and strategy. What do I need? - Extensive experience applying data science / machine learning / AI to solve business problems. - Experience working with state of the art data science, modelling & visualization techniques. - Experience working with complex datasets. - Experience managing senior stakeholders andexecutive communication. - Broad and deep knowledge in data science, machine learning & artificial intelligence. - Essential Functional / Technical Skills. - Degree in Mathematics, Physics, Computer Science, Engineering or related quantitative discipline. - Master's degree or PhD in a related subject such as Data Science or Artificial Intelligence, or equivalent knowledge developed through training or professional experience. - Strong programming skills: Python (Pandas, Numpy, PySpark, Jupyter, etc...) advantageous Git - Azure or similar cloud experience including Azure ML Services or similar, Azure Data Factory, DataBricks. About our Business Energy Portfolio Management (EPM) is the energy markets heart of the SSE Group, securing value for SSE's asset portfolios in wholesale energy markets as we move towards our vision of being a leading energy company in a net zero world. We play a critical role as the short-term energy market asset optimiser, and a long-term energy market adviser, for all SSE's Business Units (across SSE's Wind, Hydro, Low Carbon Thermal, Distributed Energy and Customer portfolios). This role for EPM enables SSE to focus its investment in energy markets capabilities (including Trading, Risk Management, Energy Economics and Advanced Analytics) in one centre of excellence, with these enhanced capabilities supporting value creation and decision making across the SSE Group. Life at SSE If you're considering a career with us, you're probably wondering what's in it for you? From health and wellness to finances and family, we're proud of our benefits package which includes 34 days holiday (plus the option to buy additional days), enhanced maternity and paternity leave, discounted healthcare and a wide range of offers via our SSE Advantage scheme. At SSE we're proud to celebrate difference. We all have different skills, experience and backgrounds and we strive to have a friendly and inclusive culture where you can be yourself. We take pride in a job well done and share the belief that an inclusive culture is key to our success and vision for the future. Above all, safety is at the heart of everything we do at SSE and we live by the mantra 'if it's not safe, we don't do it'. SSE is an equal opportunity employer. We encourage diversity and are committed to creating an inclusive environment for all employees. We actively encourage applicants from all protected characteristics and commit to providing any reasonable adjustments required during the application and assessment process, and upon joining SSE. Next Steps All applications should be submitted online, and I'll be back in touch after the vacancy closing date to let you know the outcome. If you would like to discuss any working differently requirements or adjustments you may require throughout the recruitment and selection process, please contact / . Before commencing employment with SSE, you'll be required to fully complete our pre-employment screening process consisting of a basic criminal records and credit check. #LI-DB1 #LI-Hybrid
