Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead strategic projects in data science to enhance trading capabilities and decision-making.
- Company: Join SSE, a pioneering energy company committed to a net-zero future with innovative projects.
- Benefits: Enjoy flexible working, generous leave, private healthcare discounts, and wellbeing support.
- Why this job: Make a real impact on energy markets while developing your skills in a collaborative environment.
- Qualifications: Expertise in energy markets, advanced analytics, and effective communication with senior stakeholders required.
- Other info: SSE values diversity and offers equal opportunities for all applicants.
The predicted salary is between 70000 - 92000 £ per year.
SSE has a bold ambition - to be a leading energy company in a net zero world. We are building the world’s largest offshore wind farm, transforming the grid to provide greener electricity for millions of people and investing over £20 billion in homegrown energy, with £20 billion more in the pipeline.
SSE Energy Markets secure the energy needed to power customers' lives while creating value for SSE. Our Energy Markets trading teams buy the fuel needed to deliver cleaner energy and sell power generated in our wind farm, hydro and thermal assets back to the markets.
Base Location: Perth, Glasgow, Edinburgh or Reading - this is a hybrid role working part of the week from one of the advertised locations.
Salary: circa £83,000 + enhanced performance-related bonus + a range of benefits to support your finances, wellbeing and family.
Working Pattern: Permanent | Full Time | Flexible First options available
The role Energy Markets (EM) is the commercial core of SSE, driving value from asset portfolios in wholesale energy markets as the company works towards its net-zero vision. EM optimises assets, manages market access, and handles risk across SSE's Business Units, including Wind, Hydro, Low Carbon Thermal, Distributed Energy, and Customer portfolios.
The Advanced Analytics & Data (AAD) team plays a key role in enabling automated wholesale market trading through data, modelling, and Generative AI. Embedded in Front Office decision-making, AAD directly impacts P&L. The team aims to improve decision-making sophistication, efficiency, and commercial value by developing Models, Analytics, and Visualisations that enhance data-driven outcomes.
The Quantitative Trading Data Scientist will:
- Lead strategic projects to build capabilities, share knowledge across the Trading Analytics team, and maintain focus on delivering commercial value for Energy Markets.
- Advocate for best practices in data and modelling, inspire staff, and support career development in a coaching environment.
- Enhance decision-making on £2.3 billion of daily Trading exposures through Value Add Analytics, directly enabling £5m-£10m of annual Trading value.
- Lead discussions on market exposures, trading strategies, and asset optimisation, while improving the commercial awareness of staff.
- Lead the development of Analytics capabilities, optimise performance, and promote reuse of components in EM's Analytics Platform.
- Guide the technical direction of Algorithmic Trading capabilities, assess proposed solutions, and balance performance against cost.
- Drive long-term project planning to enhance future capabilities and maintain Energy Markets' competitiveness.
- Prioritise resources and create a roadmap for medium- and long-term goals in evolving global Wholesale Markets.
- Lead commercial dialogues on market exposures and asset optimisation, building strong relationships within EPM and with the EPM Executive Committee.
- Communicate effectively, promoting the team's exceptional work and ensuring collaboration across the business.
You have:
- Expertise in Wholesale Energy Markets: In-depth understanding of energy markets, with strong commercial insight into propositions and the ability to articulate complex commercial events at the Executive Committee level.
- Strategic Awareness: Strong awareness of future energy industry challenges and opportunities, with the ability to drive change by influencing stakeholders and developing pragmatic solutions.
- Advanced Data Science & Analytics: Experience working with cutting-edge data science, modelling, and visualisation techniques, particularly in designing, building, and operating analytics solutions and Trading models using Azure cloud technologies.
- Effective Communication: Skilled in senior management communication, delivering critical information clearly and concisely, and influencing senior stakeholders across EM and the broader business.
- Problem-Solving & Innovation: Intellectual curiosity, excellent quantitative and problem-solving skills, motivated by innovative approaches and the ability to lead change through collaboration.
Flexible benefits to fit your life:
- Enjoy discounts on private healthcare and gym memberships.
- Wellbeing benefits like a free online GP and 24/7 counselling service.
- Interest-free loans on tech and transport season tickets, or a new bike with our Cycle to Work scheme.
- Generous family entitlements such as maternity and adoption pay, and paternity leave.
Work with an equal opportunity employer. SSE will make any reasonable adjustments you need to ensure that your application and experience with us is positive. We’re dedicated to fostering an open and inclusive workplace where people from all backgrounds can thrive.
Ready to apply? Start your online application using the Apply Now box on this page. We only accept applications made online. If you’re offered a role with SSE, you’ll need to complete a criminality check and a credit check before you start work.
Our Benefits:
- Sharesave Scheme
- 34 days of annual leave
- Option to purchase up to 10 days holiday
- Interest-free technology loans
- 24/7 free and confidential employee counselling service
- Private healthcare discounts
- Subsidised gym memberships
- 21 weeks full pay maternity leave
- Cycle to Work scheme with generous £2500 limit
- Interest-free salary advance to cover transport season tickets
Quant Trading - Data Scientist employer: ENGINEERINGUK
Contact Detail:
ENGINEERINGUK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Trading - Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in wholesale energy markets. Understanding current challenges and opportunities will help you articulate your insights during discussions, showcasing your strategic awareness.
✨Tip Number 2
Network with professionals in the energy sector, especially those involved in trading and analytics. Building relationships can provide you with valuable insights and potentially lead to referrals within SSE.
✨Tip Number 3
Brush up on your data science skills, particularly in Azure cloud technologies. Being able to demonstrate your proficiency in advanced analytics and modelling techniques will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your problem-solving approach and innovative ideas during interviews. Highlighting your intellectual curiosity and ability to lead change through collaboration will resonate well with SSE's culture.
We think you need these skills to ace Quant Trading - Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Quant Trading - Data Scientist position. Understand the key responsibilities and required skills, such as expertise in wholesale energy markets and advanced data science techniques.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your knowledge of energy markets, data analytics, and any previous roles that demonstrate your problem-solving abilities and strategic awareness.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the energy sector and your understanding of SSE's mission towards a net-zero world. Use specific examples from your past experiences to illustrate how you can contribute to the company's goals.
Highlight Communication Skills: Since effective communication is crucial for this role, ensure you provide examples of how you've successfully communicated complex information to senior stakeholders in previous positions. This will demonstrate your ability to influence and collaborate within a team.
How to prepare for a job interview at ENGINEERINGUK
✨Understand the Energy Market Landscape
Before your interview, make sure you have a solid grasp of the current trends and challenges in the energy market. This role requires an in-depth understanding of wholesale energy markets, so be prepared to discuss recent developments and how they might impact SSE's operations.
✨Showcase Your Data Science Skills
Be ready to demonstrate your expertise in data science and analytics. Prepare examples of past projects where you've used advanced modelling techniques or analytics solutions, particularly with Azure cloud technologies, as this is crucial for the role.
✨Communicate Effectively
Effective communication is key, especially when discussing complex topics with senior stakeholders. Practice articulating your thoughts clearly and concisely, and think about how you can convey technical information in an accessible way.
✨Prepare for Problem-Solving Scenarios
Expect to face problem-solving questions during your interview. Think of innovative approaches you've taken in previous roles and be ready to discuss how you led change through collaboration. Highlight your intellectual curiosity and quantitative skills.
