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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 opportunities for growth in a dynamic environment.
- Why this job: Join a cutting-edge team and make an impact in the world of AI and ML.
- Qualifications: Over 3 years of Data Science experience and strong problem-solving skills.
- Other info: Collaborate with cross-functional teams in an innovative setting.
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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that Data Scientist gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and cloud solutions. We want to see your problem-solving prowess in action, so make sure it’s easy for potential employers to find your work.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past experiences. We recommend practicing common data science interview questions and even doing mock interviews with friends.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Scientist - GenAI & ML in Cloud, Equity in London
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 Data Science Fundamentals
Make sure you brush up on your machine learning and AI principles. Be ready to discuss algorithms, model evaluation, and data preprocessing techniques. This will show that you have a solid foundation and can apply these concepts in real-world scenarios.
✨Showcase Your Cloud Experience
Since the role involves utilising cloud platforms, be prepared to talk about your experience with them. Highlight specific projects where you've deployed machine learning systems in the cloud, and mention any tools or services you’ve used, like AWS, Azure, or Google Cloud.
✨Prepare for Problem-Solving Questions
Expect to face some technical challenges during the interview. Practice solving data-related problems on the spot, and think aloud as you work through them. This will demonstrate your analytical thinking and problem-solving skills, which are crucial for this role.
✨Emphasise Collaboration Skills
As you'll be working with cross-functional teams, it's important to highlight your communication and teamwork abilities. Share examples of how you've successfully collaborated with others in past projects, and how you can bridge the gap between technical and non-technical stakeholders.
