At a Glance
- Tasks: Transform operational challenges into business success through data analysis and model development.
- Company: Leading energy provider in the UK with a focus on innovation.
- Benefits: Competitive salary, bonus structure, and flexible benefits with hybrid working options.
- Why this job: Lead a high-performing team and make a real impact in the energy sector.
- Qualifications: Experience in data science and strong leadership skills.
- Other info: Based in Warwick with excellent career growth opportunities.
The predicted salary is between 63000 - 80000 £ per year.
A leading energy provider in the UK is looking for a Lead Data Scientist to transform operational challenges into business success. This role involves collaborating with various teams, developing analytical models, and leading a high-performing Data Science team.
You will receive a competitive salary between £63,000 - £80,000, with a bonus structure and various flexible benefits. The position allows for hybrid working arrangements while being based in Warwick.
Lead Data Scientist - Hybrid (Energy & Ops) in England employer: National Grid
Contact Detail:
National Grid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Hybrid (Energy & Ops) in England
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. We should be ready to discuss analytical models and how we've tackled operational challenges in the past.
✨Tip Number 3
Showcase our leadership skills! Think of examples where we've led teams or projects successfully. This role is all about leading a high-performing Data Science team, so let’s highlight that experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to match what they’re looking for.
We think you need these skills to ace Lead Data Scientist - Hybrid (Energy & Ops) in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and any relevant projects you've worked on. We want to see how you can transform operational challenges into business success, so don’t hold back on showcasing your skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Lead Data Scientist role. Share your passion for energy and operations, and how you plan to lead a high-performing team.
Showcase Your Analytical Skills: In your application, be sure to mention specific analytical models or techniques you’ve developed. We’re looking for someone who can dive deep into data, so give us examples of how you've done this in the past!
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 about the process!
How to prepare for a job interview at National Grid
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in areas like machine learning and statistical analysis. Be ready to discuss your previous projects and how you've used data to solve real-world problems, particularly in the energy sector.
✨Show Your Leadership Skills
As a Lead Data Scientist, you'll need to demonstrate your ability to lead a team. Prepare examples of how you've successfully managed projects or mentored others. Highlight your collaborative approach and how you can bring out the best in your team.
✨Understand the Business Context
Familiarise yourself with the energy industry and the specific challenges it faces. Be prepared to discuss how your analytical models can drive business success and improve operational efficiency. Showing that you understand the bigger picture will set you apart.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with thoughtful questions about the company’s data strategy and team dynamics. This not only shows your interest but also helps you gauge if the role is the right fit for you.