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- Tasks: Design and implement algorithms for forecasting and pricing in the energy sector.
- Company: Cutting-edge data solutions company based in London.
- Benefits: Remote-first role with flexible work options and competitive salary.
- Why this job: Make a meaningful impact in the energy industry through advanced data solutions.
- Qualifications: Strong Python skills and experience with data engineering tools.
- Other info: Opportunity to contribute to innovative projects in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
A cutting-edge data solutions company in London is seeking a Senior Algorithm Engineer to design and implement algorithms for forecasting and pricing within the energy sector. This remote-first role offers flexible work options and a chance to contribute to meaningful change in the energy industry through advanced data solutions.
Candidates must have strong Python skills and experience with data engineering tools.
Senior Algorithm Engineer — Scalable Energy Data in England employer: Gorilla
Contact Detail:
Gorilla Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Algorithm Engineer — Scalable Energy Data in England
✨Tip Number 1
Network like a pro! Reach out to folks in the energy sector or algorithm engineering on LinkedIn. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or GitHub repos, make sure to highlight them. We want to see your Python prowess and how you've tackled real-world data challenges.
✨Tip Number 3
Prepare for those interviews! Brush up on your algorithm design and data engineering tools. We recommend practising common interview questions and maybe even doing mock interviews with friends.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Algorithm Engineer — Scalable Energy Data in England
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in past projects, especially in relation to algorithms and data engineering.
Tailor Your Experience to the Energy Sector: When writing your application, connect your previous work to the energy industry. We’re looking for candidates who understand the unique challenges and opportunities in this field.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Let us see your skills without any fluff!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Gorilla
✨Know Your Algorithms
Brush up on your algorithm knowledge, especially those relevant to forecasting and pricing in the energy sector. Be ready to discuss specific algorithms you've implemented in the past and how they contributed to project success.
✨Showcase Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be familiar with libraries like Pandas and NumPy.
✨Familiarise Yourself with Data Engineering Tools
Make sure you know the data engineering tools commonly used in the industry. Be prepared to discuss your experience with these tools and how they can enhance algorithm performance in real-world applications.
✨Understand the Energy Sector
Research current trends and challenges in the energy sector. Showing that you understand the industry's landscape will demonstrate your genuine interest and help you connect your skills to the company's mission of driving meaningful change.
