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- Tasks: Own the lifecycle of AI/ML models and write scalable code.
- Company: Leading tech company in London with a dynamic team.
- Benefits: Competitive salary, 25 days holiday, and health insurance.
- Why this job: Join a cutting-edge team and shape the future of AI/ML.
- Qualifications: Bachelor's degree and 1-2 years experience with cloud platforms.
- Other info: Hybrid work model with exciting growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A leading tech company in London is seeking a talented Data Scientist to join their dynamic team. This role involves owning the lifecycle of new models, collaborating with business leaders on AI/ML opportunities, and writing high-quality, scalable code.
Candidates should possess a Bachelor's degree in a related field and have 1–2 years of professional experience with cloud platforms such as GCP, AWS, or Azure.
Competitive salary, 25 days of holiday, and health insurance are part of the offer.
Data Scientist - AI/ML Catalyst (Hybrid, Equity) in London employer: Zapp
Contact Detail:
Zapp Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - AI/ML Catalyst (Hybrid, Equity) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common data science questions and coding challenges. We all know that confidence is key, so get comfortable with your answers!
✨Tip Number 4
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 Scientist - AI/ML Catalyst (Hybrid, Equity) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML and cloud platforms like GCP, AWS, or Azure. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Scientist position and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Coding Skills: Since writing high-quality, scalable code is key for this role, consider including links to your GitHub or any relevant projects. We want to see your coding style and problem-solving abilities in action!
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 Zapp
✨Know Your Models Inside Out
Make sure you can discuss the models you've worked on in detail. Be prepared to explain your thought process, the challenges you faced, and how you overcame them. This shows your ownership of the model lifecycle and your problem-solving skills.
✨Brush Up on Cloud Platforms
Since the role requires experience with GCP, AWS, or Azure, ensure you're familiar with the specific services and tools offered by these platforms. Have examples ready of how you've used these cloud services in your previous projects to demonstrate your hands-on experience.
✨Collaborate Like a Pro
This position involves working closely with business leaders, so be ready to discuss how you've collaborated in the past. Share examples of how you’ve translated technical concepts into business value, showcasing your ability to bridge the gap between data science and business needs.
✨Code Quality Matters
Prepare to talk about your coding practices. Highlight your experience in writing scalable code and any best practices you follow. If possible, bring along a code sample that demonstrates your skills, as this can set you apart from other candidates.
