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- Tasks: Lead a team to deliver impactful AI and analytics solutions in the energy sector.
- Company: A leading energy provider in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for mentorship.
- Why this job: Make a real impact in the energy sector while leading a high-performing team.
- Qualifications: Strong programming skills in Python and SQL, plus experience in the energy sector.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading energy provider in the UK seeks a Data Science Manager to lead a high-performing team and deliver impactful AI and analytic solutions. This role emphasizes hands-on work in a collaborative environment and focuses on utilizing diverse data sources to drive decision-making.
Candidates should possess:
- Strong programming skills in Python and SQL
- Experience in the energy sector
- The ability to mentor team members
A competitive salary and flexible working options are offered.
Data Science Manager: Lead AI & Analytics for Energy employer: National Grid
Contact Detail:
National Grid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager: Lead AI & Analytics for Energy
✨Tip Number 1
Network like a pro! Reach out to folks in the energy sector and connect with other data science enthusiasts. Attend meetups or webinars to get your name out there and show off your passion for AI and analytics.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best projects, especially those related to energy. This will give potential employers a taste of what you can bring to the table and how you can lead a team effectively.
✨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 the energy sector. We want to see your hands-on experience shine!
✨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 Science Manager: Lead AI & Analytics for Energy
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data science and the energy sector shine through. We want to see how your experience aligns with our mission to deliver impactful AI and analytic solutions.
Highlight Your Technical Skills: Make sure to showcase your programming prowess in Python and SQL. We’re looking for someone who can hit the ground running, so don’t be shy about detailing your technical skills and relevant projects.
Emphasise Team Collaboration: Since this role is all about leading a high-performing team, share examples of how you’ve successfully collaborated with others in the past. We value teamwork, so let us know how you’ve mentored or supported your colleagues.
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’re considered for this exciting opportunity to lead AI and analytics in the energy sector.
How to prepare for a job interview at National Grid
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in the energy sector. This will show that you not only know your stuff but can also apply it in a relevant context.
✨Showcase Your Leadership Skills
As a Data Science Manager, you'll need to lead a team. Prepare examples of how you've mentored others or led projects in the past. Think about challenges you faced and how you overcame them, as this will demonstrate your ability to guide a high-performing team.
✨Understand the Energy Sector
Familiarise yourself with current trends and challenges in the energy industry. Being able to discuss how AI and analytics can solve specific problems in this field will set you apart. It shows you're not just a techie but someone who understands the bigger picture.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their data strategy, team dynamics, and how they measure success. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
