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- Tasks: Design and deploy machine learning systems to enhance business processes.
- Company: Global supply chain tech firm based in London with a pioneering spirit.
- Benefits: Competitive benefits and excellent opportunities for career growth.
- Why this job: Join a cutting-edge team and make an impact in AI and machine learning.
- Qualifications: Over 3 years of Data Science experience and strong problem-solving skills.
- Other info: Collaborative environment with cross-functional teams.
The predicted salary is between 43200 - 72000 £ per year.
A global supply chain technology firm based in London is seeking an experienced Data Scientist. You will design and deploy machine learning systems, utilize cloud platforms to enhance business processes, and collaborate with cross-functional teams.
Ideal candidates will have over 3 years of Data Science experience and a strong grasp of machine learning and AI principles, along with excellent problem-solving and communication skills.
This role offers competitive benefits and opportunities for growth in a pioneering environment.
Data Scientist - GenAI & ML in Cloud, Equity employer: RedCloud
Contact Detail:
RedCloud Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - GenAI & ML in Cloud, Equity
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and cloud solutions. This is your chance to demonstrate your problem-solving abilities and creativity to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data science interview questions and be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed.
We think you need these skills to ace Data Scientist - GenAI & ML in Cloud, Equity
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Science, especially with machine learning and AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you a perfect fit. We love seeing enthusiasm and a clear understanding of our company’s mission.
Showcase Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex problems using data science techniques. We’re looking for candidates who can think critically and creatively, so don’t hold back on sharing your success stories!
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 the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at RedCloud
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning principles and techniques. Be ready to discuss specific algorithms you've used, how they were implemented, and the outcomes. This will show that you not only understand the theory but also have practical experience.
✨Cloud Platforms Are Key
Since the role involves utilising cloud platforms, be prepared to talk about your experience with them. Familiarise yourself with the specific cloud technologies the company uses, and think of examples where you've successfully deployed machine learning systems in a cloud environment.
✨Collaboration is Crucial
This position requires working with cross-functional teams, so highlight your teamwork skills. Prepare examples of past projects where you collaborated with others, focusing on how you communicated complex data science concepts to non-technical stakeholders.
✨Problem-Solving Mindset
Expect to face some problem-solving scenarios during the interview. Practice articulating your thought process when tackling data-related challenges. Show how you approach problems methodically and creatively, as this will demonstrate your analytical skills.
