At a Glance
- Tasks: Lead data science initiatives to drive insights and optimise energy efficiency.
- Company: Exciting AI-driven energy tech scale-up focused on sustainability.
- Benefits: Competitive salary up to £95,000 and flexible working arrangements.
- Other info: Join a forward-thinking team dedicated to innovation and sustainability.
- Why this job: Make a real impact in reducing energy waste and enhancing operational performance.
- Qualifications: Proven experience in data science and leadership skills.
The predicted salary is between 95000 - 95000 £ per year.
Location: London (one day a week onsite)
Salary: up to £95,000
I’m working with an exciting AI-driven energy tech scale-up that’s using advanced analytics, machine learning and real-world electrical data to help commercial buildings dramatically reduce energy waste and improve operational performance. They’re now looking for a Head of Data Science.
Head of Data Science (Commerical Insights) employer: Oakmont Consulting
Join a dynamic AI-driven energy tech scale-up in London, where innovation meets sustainability. As the Head of Data Science, you'll be part of a collaborative work culture that values creativity and encourages professional growth, offering you the chance to lead impactful projects that drive energy efficiency in commercial buildings. With flexible working arrangements and a commitment to employee development, this is an excellent opportunity for those seeking meaningful and rewarding employment in a forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science (Commerical Insights)
✨Tip Number 1
Network like a pro! Reach out to people in the energy tech space, especially those working with AI and data science. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Showcase your skills! Prepare a portfolio of projects that highlight your experience with advanced analytics and machine learning. This will give you an edge when discussing your fit for the Head of Data Science role.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to data science and commercial insights. We can help you with mock interviews to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who want to make a difference in energy efficiency.
We think you need these skills to ace Head of Data Science (Commerical Insights)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data science and analytics, especially in commercial settings. We want to see how your skills align with our mission to reduce energy waste and improve performance.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about AI and energy tech. Share specific examples of how you've used machine learning to drive insights in previous roles.
Showcase Relevant Projects:If you've worked on projects that involved advanced analytics or machine learning, make sure to include them in your application. We love seeing real-world applications of your skills!
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 our team.
How to prepare for a job interview at Oakmont Consulting
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in machine learning and advanced analytics. Be ready to discuss specific projects you've worked on, the methodologies you used, and the impact they had. This will show your depth of knowledge and practical experience.
✨Understand the Company’s Mission
Dive deep into the company’s goals, especially their focus on reducing energy waste and improving operational performance. Familiarise yourself with their products and how they leverage real-world electrical data. This will help you align your answers with their mission during the interview.
✨Prepare for Technical Questions
Expect some technical questions that test your problem-solving skills and analytical thinking. Practice explaining complex concepts in simple terms, as you might need to communicate your ideas to non-technical stakeholders. This will demonstrate your ability to bridge the gap between data science and business needs.
✨Showcase Leadership Skills
As a Head of Data Science, you'll need to lead a team effectively. Prepare examples of how you've managed teams, mentored junior staff, or driven projects to success. Highlight your leadership style and how it aligns with fostering innovation and collaboration within a data-driven environment.
