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- Tasks: Support client integrations and assist with signal onboarding in a dynamic team.
- Company: Fast-growing AI company based in London with a focus on client success.
- Benefits: Gain hands-on experience, learn from industry leaders, and work with cutting-edge technology.
- Why this job: Join a small team and make a real impact in the world of AI and data.
- Qualifications: Degree in a relevant field with skills in statistics and Python.
- Other info: Opportunity for growth and learning in a collaborative environment.
The predicted salary is between 28800 - 48000 £ per year.
A fast-growing AI company is looking for a Junior Engineer for Client-Facing Analytics in London. This role involves supporting client integrations, assisting with signal onboarding, and collaborating with the engineering team.
Ideal candidates will have a degree in a relevant field and expertise in statistics and Python. Join a small team to learn directly from industry leaders in finance while ensuring clients succeed with cutting-edge AI and data products.
Junior Data Scientist - Client Analytics & Signals employer: permutable.ai
Contact Detail:
permutable.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist - Client Analytics & Signals
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI and data science. Use platforms like LinkedIn to connect with professionals and join relevant groups to stay updated on opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and statistics. This will give you an edge during interviews and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding key concepts in data science. Practice common interview questions and consider mock interviews to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you a better chance of landing that dream job. Plus, it’s super easy!
We think you need these skills to ace Junior Data Scientist - Client Analytics & Signals
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that align with the Junior Data Scientist role. We want to see your expertise in statistics and Python shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for the role. Tell us why you're excited about working with AI and how you can contribute to our client-facing analytics team.
Showcase Your Projects: If you've worked on any projects related to data science or analytics, make sure to mention them! We love seeing practical examples of your skills and how you've applied them in real-world scenarios.
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 permutable.ai
✨Know Your Stats
Brush up on your statistics knowledge before the interview. Be ready to discuss key concepts and how they apply to data analysis. This will show that you’re not just familiar with Python, but also understand the underlying principles of the data you're working with.
✨Showcase Your Python Skills
Prepare to demonstrate your Python expertise. You might be asked to solve a problem or explain how you would approach a specific task. Practising coding challenges related to data analytics can help you feel more confident during this part of the interview.
✨Understand Client Needs
Since this role involves client-facing analytics, think about how you can support clients effectively. Be ready to discuss how you would approach client integrations and signal onboarding. Showing that you can empathise with clients will set you apart from other candidates.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s AI products and the engineering team’s workflow. This not only shows your interest in the role but also gives you a chance to assess if the company culture aligns with your values and career goals.
