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- Tasks: Develop machine learning models to optimise energy distribution and provide valuable insights.
- Company: Leading UK energy provider focused on innovation and sustainability.
- Benefits: Competitive salary, flexible working, and professional development opportunities.
- Why this job: Join a dynamic team and make a real impact in the energy sector.
- Qualifications: Strong skills in Python, SQL, and machine learning frameworks required.
- Other info: Hybrid role with excellent career growth potential.
The predicted salary is between 55000 - 65000 £ per year.
A leading energy provider in the UK is seeking a Data Scientist to support their Electricity Distribution team. You will develop machine learning models and provide insights across various business functions. This hybrid role requires collaboration with data engineers and stakeholders to optimize model deployment.
Strong skills in Python, SQL, and machine learning frameworks are essential.
The position offers a competitive salary between £55,000 - £65,000 and various career benefits including flexibility and professional development support.
Data Scientist: AI & ML for Energy Optimization in Bristol employer: National Grid
Contact Detail:
National Grid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: AI & ML for Energy Optimization in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the energy sector, especially those working with data science. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to energy optimisation. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss how you've used these tools in real-world scenarios, particularly in collaboration with teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist: AI & ML for Energy Optimization in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and machine learning frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about energy optimisation and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Collaboration Skills: Since this role involves working closely with data engineers and stakeholders, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action!
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 us during the process!
How to prepare for a job interview at National Grid
✨Know Your Tech Stack
Make sure you brush up on your Python, SQL, and any machine learning frameworks mentioned in the job description. Be ready to discuss specific projects where you've used these skills, as this will show your practical experience and understanding of the tools they'll expect you to use.
✨Understand the Business Context
Since you'll be working with the Electricity Distribution team, it’s crucial to understand how data science can impact energy optimisation. Research the company’s current initiatives in this area and think about how your work could contribute to their goals. This shows that you're not just a techie but also someone who understands the bigger picture.
✨Prepare for Collaboration Questions
This role involves working closely with data engineers and stakeholders, so expect questions about teamwork and collaboration. Think of examples from your past experiences where you successfully worked in a team to solve a problem or deliver a project. Highlight your communication skills and how you adapt to different working styles.
✨Show Your Passion for Continuous Learning
With the fast-paced nature of AI and ML, companies love candidates who are committed to professional development. Be prepared to discuss any recent courses, certifications, or personal projects you've undertaken to stay updated in the field. This demonstrates your enthusiasm and dedication to growing your skill set.
