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- Tasks: Lead a team to deliver innovative data analytics solutions in the energy sector.
- Company: A top utility company in the UK focused on energy transition.
- Benefits: Competitive salary, performance incentives, and a contributory pension scheme.
- Why this job: Make a real impact on energy innovation while mentoring future data scientists.
- Qualifications: Experience in data science and leadership skills required.
- Other info: Hybrid work model with opportunities for professional growth.
The predicted salary is between 78000 - 91000 £ per year.
A leading utility company in the UK is seeking a Data Science Manager to lead and develop its Data Science team. The role involves delivering advanced analytics solutions that drive innovation and support operations while focusing on energy transition. You will mentor staff, unify datasets for insights, and influence decision-making at various organizational levels.
Compensation includes a competitive salary of £78,000 - £91,000, annual performance incentives, and a contributory pension scheme.
Data Science Leader – Hybrid: Energy Analytics & AI employer: National Grid
Contact Detail:
National Grid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Leader – Hybrid: Energy Analytics & AI
✨Tip Number 1
Network like a pro! Reach out to folks in the energy analytics and AI space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your passion for data science.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and industry knowledge. We recommend practising common data science scenarios and case studies that relate to energy transition to impress your interviewers.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Use our website to find roles that excite you, especially those that allow you to lead and mentor others in data science.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Share any additional insights or thoughts you have about the role to show your enthusiasm and commitment.
We think you need these skills to ace Data Science Leader – Hybrid: Energy Analytics & AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Science Leader role. Highlight your experience in energy analytics and AI, as well as any leadership roles you've held.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about energy transition and how your background makes you the perfect fit for our team. Be specific about your achievements and how they relate to the job.
Showcase Your Analytical Skills: In your application, don’t forget to mention any advanced analytics solutions you've delivered in the past. We want to see how you've driven innovation and supported operations through data-driven insights.
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!
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 energy analytics and AI. Be ready to discuss specific projects you've worked on, the methodologies you used, and how they contributed to decision-making. This shows you’re not just a leader but also a hands-on expert.
✨Showcase Your Leadership Skills
Prepare examples of how you've mentored team members or led projects in the past. Highlight your ability to unify datasets and drive innovation. Companies want to see that you can inspire and guide a team while delivering impactful results.
✨Understand the Company’s Vision
Research the utility company’s goals, especially regarding energy transition. Be ready to discuss how your experience aligns with their mission and how you can contribute to their analytics solutions. This demonstrates your genuine interest in the role and the company.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current projects, and future challenges the company faces in energy analytics. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
