Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise machine learning models and analytics solutions.
- Company: Leading recruitment agency with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make impactful data-driven decisions.
- Qualifications: Proficiency in Python, SQL, and AWS ML services required.
- Other info: Work in the London office two days a week.
The predicted salary is between 48000 - 72000 £ per year.
A leading recruitment agency is seeking an experienced Data Scientist to design and optimize machine learning models and analytics solutions. The role requires proficiency in Python, SQL, and AWS ML services, with responsibilities including building predictive models, analyzing data, and collaborating with various teams. This hybrid position expects you to work in the London office two days a week. Ideal candidates will have strong analytical and communication skills, aiming to drive data-driven decision-making.
Senior Data Scientist - Predictive ML on AWS (Hybrid) in City of London employer: Spectrum IT Recruitment
Contact Detail:
Spectrum IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Predictive ML on AWS (Hybrid) in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work with predictive ML or AWS. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best machine learning projects. Use platforms like GitHub to share your code and results. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key in this role. We want to see how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Senior Data Scientist - Predictive ML on AWS (Hybrid) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and AWS ML services. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about predictive modelling and how you can contribute to our team. Keep it concise but impactful!
Showcase Your Analytical Skills: In your application, include examples of how you've used data to drive decision-making in previous roles. We love seeing real-world applications of your analytical prowess!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at Spectrum IT Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and AWS ML services. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical thinking by discussing how you've built predictive models in the past. Use real examples to illustrate your thought process and the impact of your work on data-driven decision-making.
✨Collaboration is Key
Since this role involves working with various teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how they helped in achieving project goals.
✨Be Ready for Scenario Questions
Expect scenario-based questions that test your problem-solving abilities. Practice articulating your approach to hypothetical situations involving data analysis and model optimisation, as this will showcase your critical thinking skills.
