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- Tasks: Develop real-time electricity price forecasts and solve energy problems through innovative research.
- Company: Volcore, a fast-growing scale-up in the electricity trading sector.
- Benefits: Competitive salary, bonus scheme, and uncapped career development opportunities.
- Why this job: Make a real impact on the energy industry while working with cutting-edge technology.
- Qualifications: 2+ years in time-series forecasting, strong Python and SQL skills required.
- Other info: Join a friendly, high-performing team with minimal bureaucracy and plenty of growth potential.
The predicted salary is between 40000 - 55000 £ per year.
At Volcore, our team of wholesale electricity traders and technical experts work together to make real-time decisions that support increasing renewable generation and keep the electricity system stable. We are a profitable and ambitious scale-up, with several full-time, on-site openings in our technical team to underpin our rapid growth.
Location: Manchester City Centre, On-site
Employment Type: Permanent Full-Time
- Develop real-time forecasts of electricity prices and their drivers including demand and generation, to deliver industry-leading accuracy.
- Solve real-world energy problems, often requiring novel approaches developed through team collaboration and original research.
- Identify and ingest relevant data, ensuring thorough documentation in our internal knowledge base.
- Iteratively and rapidly test hypotheses and develop proof-of-concepts to solve real-time forecasting problems.
- Document and visualise results, sharing insights with the team.
- Develop, deploy and maintain forecasting pipelines with a focus on speed and accuracy.
- Continually improve our shared libraries and workflows to ensure they are fast, accurate and a delight to use.
- Role model and advise on best practices and become a trusted expert in the topics you work most deeply on.
Why Volcore?
- Uncapped career development: Deliver value, and you will be recognised and rewarded, regardless of title or experience. We offer continuous opportunities for growth and new challenges.
- Fast-growing scale-up: We are a profitable, ambitious company on a rapid growth trajectory, giving you the opportunity to play a key role in shaping our future.
- Impactful problem solving: You will be trusted with significant projects that can immediately, visibly affect our success and the industry more broadly, leading to innovative solutions in areas that haven’t been tackled before.
- Minimal bureaucracy: Your ideas and feedback matter. We prioritise time for you to focus on what you do best, while still providing support from the wider team.
- Modern tech stack: Including Python, Node JS / Typescript, PostgreSQL, DuckDB and Rust.
- Colleagues instead of customers: Everything you build will be used by people sitting next to you.
- High-performing, friendly team: Work alongside bright, driven people who are trusted to deliver and enjoy socialising after a successful day.
About You
- Electricity markets experience is not required, but is a strong plus. Either way, you must quickly learn new concepts and think independently; this is one of the most fun parts of the role.
- At least 2 full years of experience in applied time-series forecasting, either professionally or as part of a PhD. Should include novel, practically useful, statistically rigorous work on a previously unsolved problem, especially in terms of accuracy, performance, and maintainability.
- Experience with real-time and online forecasting, and extracting novel, domain-specific features is particularly relevant.
- Proven ability to solve complex, real-world mathematical problems, including selecting and implementing the right algorithms, and delivering clean, efficient, and reliable code.
- Strong working fluency in Python and SQL. It is fine to prefer working in R or other languages, but you must still be confident building useful code quickly and accurately using Python and SQL.
- Some applied experience with model deployment, productionisation and compiled languages.
- The ability to document and communicate your thinking clearly, including in our knowledge base, notebooks, comments and code itself.
- Ownership of projects from start to finish, with intrinsic drive to deliver high-quality work quickly.
- By the time this role commences, be eligible to live and work full-time in the UK.
The following are not essential, but you will benefit from highlighting any relevant experience:
- Finance, sports betting or other markets modelling experience.
- Meteorological data manipulation and physical systems modelling.
This position typically attracts either strong academic researchers looking for more real-world impact, or forecasting specialists who have outgrown their previous role and are seeking more responsibility or more challenging subject matter.
Starting salary: £40,000 to £55,000 depending on experience + participation in our bonus scheme for high-performers.
To apply, please:
- Submit your CV, highlighting how your experience meets the requirements for this role.
- Complete the short application questionnaire.
Thank you for reading this far. We look forward to hearing from you.
FORECASTING MODELLER / STATISTICIAN in Manchester employer: Volcore
Contact Detail:
Volcore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land FORECASTING MODELLER / STATISTICIAN in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with current employees at Volcore. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your forecasting projects or any relevant work you've done. Bring it along to interviews or share it during networking events to demonstrate your expertise and passion.
✨Tip Number 3
Practice makes perfect! Brush up on your Python and SQL skills, especially focusing on real-time forecasting techniques. You want to be ready to tackle any technical questions that come your way during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be part of our community from the get-go!
We think you need these skills to ace FORECASTING MODELLER / STATISTICIAN in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Forecasting Modeller/Statistician. Highlight your experience in applied time-series forecasting and any relevant projects that showcase your skills in Python and SQL.
Showcase Your Problem-Solving Skills: In your application, emphasise your ability to solve complex mathematical problems. Share examples of how you've tackled real-world challenges, especially those involving novel approaches or unique solutions.
Be Clear and Concise: When documenting your experience, clarity is key! Use straightforward language to communicate your thought process and results. This will help us understand your approach and how you can contribute to our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Volcore
✨Know Your Forecasting Fundamentals
Brush up on your time-series forecasting techniques and be ready to discuss your previous projects. Be prepared to explain the algorithms you've used, why you chose them, and how they performed in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex mathematical problems you've tackled. Highlight your thought process, the steps you took to solve them, and the impact your solutions had on your previous projects.
✨Familiarise Yourself with the Tech Stack
Since Volcore uses Python, SQL, and other modern technologies, make sure you're comfortable discussing your experience with these tools. If you have experience with model deployment or productionisation, be ready to talk about that too!
✨Communicate Clearly and Confidently
Practice explaining your ideas and findings in a clear and concise manner. Whether it's through documentation or during discussions, being able to communicate effectively is key, especially when sharing insights with the team.