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- Tasks: Join a dynamic team to analyze energy data and develop predictive models.
- Company: Be part of an industry-leading consultancy driving the energy transition.
- Benefits: Enjoy innovative projects, collaborative culture, and opportunities for growth.
- Why this job: Make a real impact in the energy sector while advancing your data science skills.
- Qualifications: 4+ years in the energy industry with strong Python and ML experience required.
- Other info: Experience with Azure DevOps is a plus!
The predicted salary is between 43200 - 72000 £ per year.
Job Description Our client are an industry leading Consultancy & Market insight business supporting the Energy transition in a number of innovative ways. As part of their exciting growth, we are looking for a Data Scientist with Energy experience to join the team. Ideal candidate will have: At least 4 years of experience in the Energy industry, preferably within short term power forecasting. Extensive experience of Python and ML Models (Tensorflow) Azure devops experience would be beneficial …
Data Scientist - Energy employer: AVA Energy
Contact Detail:
AVA Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Energy
✨Tip Number 1
Make sure to highlight your experience in the Energy industry, especially if you have worked on short-term power forecasting projects. This will show that you understand the specific challenges and opportunities in this sector.
✨Tip Number 2
Familiarize yourself with the latest trends and technologies in energy data science, particularly around Python and machine learning models like TensorFlow. Being able to discuss recent advancements can set you apart during interviews.
✨Tip Number 3
If you have experience with Azure DevOps, be prepared to discuss how you've used it in past projects. This knowledge can demonstrate your ability to work effectively in a collaborative environment.
✨Tip Number 4
Network with professionals in the energy sector and attend relevant industry events or webinars. Building connections can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Data Scientist - Energy
Some tips for your application 🫡
Understand the Company: Research the consultancy and market insight business to understand their role in the energy transition. Familiarize yourself with their projects and values to tailor your application.
Highlight Relevant Experience: Make sure to emphasize your experience in the energy industry, particularly in short-term power forecasting. Use specific examples to demonstrate your expertise in Python and ML models.
Showcase Technical Skills: Clearly outline your technical skills, especially your proficiency in Python, TensorFlow, and any experience with Azure DevOps. Mention relevant projects or achievements that showcase these skills.
Craft a Compelling Cover Letter: Write a cover letter that connects your background and skills to the job description. Explain why you are passionate about the energy sector and how you can contribute to the company's growth.
How to prepare for a job interview at AVA Energy
✨Showcase Your Energy Experience
Make sure to highlight your experience in the Energy industry, especially any work related to short-term power forecasting. Be prepared to discuss specific projects you've worked on and the impact they had.
✨Demonstrate Your Python Skills
Since extensive experience with Python is crucial for this role, be ready to discuss your proficiency. You might even be asked to solve a coding problem or explain your approach to building ML models using TensorFlow.
✨Familiarize Yourself with Azure DevOps
While Azure DevOps experience is beneficial, it’s important to show that you understand its purpose and how it integrates into the data science workflow. If you have experience with similar tools, be sure to mention that as well.
✨Prepare for Behavioral Questions
Expect questions that assess your problem-solving skills and teamwork. Think of examples from your past experiences where you successfully collaborated with others or overcame challenges in your projects.
