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- Tasks: Develop machine learning models and advanced analytics solutions for energy grid innovation.
- Company: Major energy provider in Bristol with a focus on innovation.
- Benefits: Competitive salary, flexible benefits, and career development opportunities.
- Why this job: Join a team making a real impact on the future of energy.
- Qualifications: Proficiency in Python and understanding of MLOps practices required.
- Other info: Collaborative environment with engineers and analysts.
The predicted salary is between 55000 - 65000 £ per year.
A major energy provider in Bristol is seeking a Data Scientist to develop machine learning models and advanced analytics solutions. The role involves collaborating with engineers and analysts while applying statistical techniques.
Key skills include:
- Proficiency in Python
- Understanding of MLOps practices
Competitive salary between £55,000 and £65,000 per annum. The position offers flexible benefits and career development opportunities.
Hybrid Data Scientist — AI/ML for Energy Grid Innovation in Bristol employer: National Grid
Contact Detail:
National Grid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Scientist — AI/ML for Energy Grid Innovation in Bristol
✨Tip Number 1
Network like a pro! Reach out to professionals in the energy sector or data science community on LinkedIn. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those relevant to energy or analytics. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python skills and MLOps practices. Practising coding challenges and discussing your past projects can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Hybrid Data Scientist — AI/ML for Energy Grid Innovation in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any machine learning projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML in the energy sector and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Collaboration Skills: Since this role involves working closely with engineers and analysts, highlight any teamwork experiences in your application. We’re looking for candidates who can communicate effectively and thrive in a collaborative environment.
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. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at National Grid
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially libraries like Pandas, NumPy, and Scikit-learn. Be ready to discuss how you've used these tools in past projects, as practical examples will show your expertise.
✨Understand MLOps Practices
Familiarise yourself with MLOps concepts and be prepared to explain how they apply to the energy sector. This could involve discussing deployment strategies or how to maintain model performance over time.
✨Collaborate Like a Pro
Since this role involves working closely with engineers and analysts, think of examples where you've successfully collaborated in a team. Highlight your communication skills and how you’ve contributed to group projects.
✨Show Your Passion for Energy Innovation
Research the latest trends in energy grid innovation and be ready to share your thoughts. Showing genuine interest in the field can set you apart and demonstrate that you're not just looking for any job, but this specific one.
