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- Tasks: Lead the development of AI/ML solutions for real-world applications in a pioneering environment.
- Company: Innovative AI company based in Cambridge with a focus on impactful projects.
- Benefits: Equity options, competitive salary, and the chance to shape the future of energy.
- Other info: Clear career progression to Head or Chief Data Scientist in a dynamic team.
- Why this job: Join a startup and make a real difference in the energy sector with cutting-edge technology.
- Qualifications: Hands-on experience in data science and a passion for AI in industrial applications.
The predicted salary is between 60000 - 80000 £ per year.
A pioneering AI company in Cambridge is seeking a Lead Data Scientist to develop core intelligence systems from scratch. The role involves building and deploying AI/ML solutions for real-world applications, requiring hands-on experience in startups.
The ideal candidate will lead the data science function over time, with a clear path to Head or Chief Data Scientist. This position offers equity and the opportunity to work on impactful projects in the energy sector.
Founding Data Scientist — Build Core AI for Industrial Ops in Cambridge employer: C10labs
Contact Detail:
C10labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Data Scientist — Build Core AI for Industrial Ops in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the AI and data science community, especially those working in startups. Attend meetups or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI. We recommend practising common data science interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact in the energy sector. Your dream job could be just a click away!
We think you need these skills to ace Founding Data Scientist — Build Core AI for Industrial Ops in Cambridge
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how your experience aligns with our mission to build core intelligence systems from scratch.
Highlight Relevant Experience: Make sure to showcase your hands-on experience in startups and any projects you've worked on that relate to real-world applications of AI/ML. This will help us understand how you can contribute to our team.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We love seeing candidates who take the time to connect their background to what we’re looking for.
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 role!
How to prepare for a job interview at C10labs
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be prepared to discuss your hands-on experience with building and deploying AI/ML solutions, especially in real-world applications. This will show that you’re not just familiar with theory but can actually apply it.
✨Showcase Your Startup Experience
Since this role is in a pioneering AI company, highlight your previous work in startups. Share specific examples of how you've contributed to building data science functions from scratch and any challenges you overcame. This will demonstrate your adaptability and problem-solving skills.
✨Prepare for Technical Questions
Expect technical questions that assess your knowledge and skills in data science. Brush up on algorithms, data structures, and statistical methods relevant to AI. Practising coding problems or case studies can also help you articulate your thought process during the interview.
✨Align with Their Vision
Research the company’s mission and projects, especially in the energy sector. Be ready to discuss how your values align with theirs and how you can contribute to impactful projects. Showing genuine interest in their work will set you apart from other candidates.