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- Tasks: Lead AI/ML projects to enhance critical energy infrastructure with innovative methodologies.
- Company: Fast-growing tech company in Greater London focused on real-time energy solutions.
- Benefits: Flexible hybrid work, professional growth opportunities, and a collaborative team environment.
- Why this job: Make a significant impact in the energy sector while advancing your career in AI.
- Qualifications: PhD in a quantitative field, strong Python skills, and experience in machine learning.
- Other info: Join a dynamic team dedicated to pushing the boundaries of technology.
The predicted salary is between 43200 - 72000 £ per year.
A fast-growing technology company in Greater London seeks a Principal Data Scientist to lead complex AI/ML projects. You will design and implement methodologies that meet high-performance standards for critical energy infrastructure.
Candidates should have:
- A PhD in a quantitative field
- Solid experience in Python and machine learning
- A collaborative spirit
The role offers a flexible hybrid working environment and opportunities for professional growth and development.
Principal Data Scientist — Real-Time Energy AI Leader employer: Vortexa Ltd
Contact Detail:
Vortexa Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist — Real-Time Energy AI Leader
✨Tip Number 1
Network like a pro! Reach out to professionals in the energy and AI sectors on LinkedIn. Join relevant groups and engage in discussions to showcase your expertise and passion for real-time energy solutions.
✨Tip Number 2
Prepare for those interviews by brushing up on your Python and machine learning skills. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your projects and methodologies.
✨Tip Number 3
Showcase your collaborative spirit! During interviews, share examples of how you've worked with cross-functional teams. Highlighting your teamwork can set you apart as a candidate who fits well into their culture.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Principal Data Scientist — Real-Time Energy AI Leader
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and machine learning in your application. We want to see how you've tackled complex projects in the past, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We’re looking for someone who can lead AI/ML projects, so connect your past experiences to the job description and show us why you’re the perfect fit.
Be Collaborative: Since we value a collaborative spirit, share examples of how you’ve worked effectively in teams. Whether it’s leading a project or contributing to group discussions, let us know how you thrive in a team 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 during the process!
How to prepare for a job interview at Vortexa Ltd
✨Know Your Stuff
Make sure you brush up on your Python and machine learning skills. Be ready to discuss specific projects you've worked on, especially those related to AI/ML in energy. This will show that you not only have the theoretical knowledge but also practical experience.
✨Show Your Collaborative Spirit
Since the role emphasises a collaborative environment, be prepared to share examples of how you've successfully worked in teams. Highlight your communication skills and how you’ve contributed to group projects, especially in high-pressure situations.
✨Understand the Company’s Mission
Research the company’s goals and values, particularly in relation to real-time energy solutions. Being able to articulate how your expertise aligns with their mission will demonstrate your genuine interest in the role and the company.
✨Prepare for Technical Questions
Expect to face technical questions or even coding challenges during the interview. Practice common data science problems and be ready to explain your thought process clearly. This will help you showcase your analytical skills and problem-solving abilities.
