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For Companies At a Glance
- Tasks: Create innovative data science products and develop prototypes in a dynamic environment.
- Company: Leading tech solutions company in the UK with a focus on AI.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a team of experts and tackle real-world problems with cutting-edge technology.
- Qualifications: Experience in data science and strong problem-solving skills required.
- Other info: Exciting opportunity to work in London with flexible working arrangements.
The predicted salary is between 43200 - 72000 £ per year.
A tech solutions company in the United Kingdom is urgently seeking five Senior Data Scientists to start in the first week of February. This role involves working on production-ready applied data science products, developing prototypes, and performing feature engineering. Candidates must be comfortable with ambiguity and adept at solving problems at scale. The position offers a hybrid work model in London, requiring one day in the office per week.
Senior Data Scientist – Hybrid UK, Build Production AI in London employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist – Hybrid UK, Build Production AI in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or connect with fellow data scientists on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best projects, especially those involving production-ready AI solutions. This will help you stand out and demonstrate your problem-solving abilities.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and data science concepts. Mock interviews with friends or using online platforms can really boost your confidence.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, and it shows you're serious about joining our team. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Data Scientist – Hybrid UK, Build Production AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with production-ready data science products and feature engineering. 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 the perfect fit for our team. Share specific examples of how you've tackled ambiguity and solved complex problems in your previous roles.
Showcase Your Problem-Solving Skills: In your application, give us a glimpse into your thought process when faced with challenges. We love candidates who can think critically and creatively, so share any relevant experiences that demonstrate these skills.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Arrows
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially those related to production-ready applications. Be prepared to discuss your experience with feature engineering and how you've tackled ambiguity in past projects.
✨Showcase Your Problem-Solving Skills
Prepare specific examples of how you've solved complex problems at scale. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Familiarise Yourself with AI Prototyping
Since the role involves developing prototypes, be ready to talk about your experience with AI models and any tools or frameworks you’ve used. Discuss how you approach building and testing prototypes in a production environment.
✨Embrace the Hybrid Work Model
Understand the dynamics of hybrid work and be ready to discuss how you manage collaboration and communication in a flexible setting. Share your thoughts on maintaining productivity while working remotely and in the office.
