At a Glance
- Tasks: Contribute to fraud detection and claims automation using machine learning models.
- Company: Leading AI insurance platform based in London.
- Benefits: Competitive compensation, flexible working options, and a dynamic work environment.
- Other info: Great opportunity for career growth and development.
- Why this job: Join a cutting-edge team and make a real impact in the insurance industry.
- Qualifications: Recent graduates with strong coding skills and knowledge of AI.
The predicted salary is between 30000 - 40000 € per year.
A leading AI insurance platform in London is seeking a Data Scientist to contribute to fraud detection and claims automation. You will work with diverse data types and be involved in the development and implementation of machine learning models.
Ideal candidates are recent graduates with strong coding skills, knowledge of AI, and excellent communication abilities. This position offers competitive compensation and flexible working options.
Graduate Data Scientist: AI, Fraud & Automation in London employer: Shift Technology
As a leading AI insurance platform based in London, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our commitment to employee growth is reflected in our comprehensive training programmes and mentorship opportunities, ensuring that you can develop your skills while contributing to meaningful projects in fraud detection and claims automation. With competitive compensation and flexible working options, we offer an environment where recent graduates can thrive and make a real impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Scientist: AI, Fraud & Automation in London
✨Tip Number 1
Network like a pro! Reach out to alumni or professionals in the AI and data science fields. A friendly chat can lead to valuable insights and even job referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your coding projects, especially those related to machine learning and fraud detection. This will give you an edge during interviews.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and understanding key concepts in AI. We recommend using platforms that focus on data science problems to sharpen your skills.
✨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 about their job search.
We think you need these skills to ace Graduate Data Scientist: AI, Fraud & Automation in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your coding skills and any relevant projects you've worked on. We want to see how your experience aligns with the role of a Data Scientist in AI, Fraud & Automation.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and fraud detection. We love seeing candidates who can communicate their enthusiasm clearly.
Showcase Your Projects:If you've worked on any machine learning models or data analysis projects, be sure to mention them. We’re interested in seeing how you’ve applied your knowledge 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 us!
How to prepare for a job interview at Shift Technology
✨Know Your Data Science Basics
Brush up on your fundamental data science concepts, especially around machine learning models. Be ready to discuss how you would approach fraud detection and claims automation using AI. This shows your understanding of the role and your ability to apply theoretical knowledge practically.
✨Show Off Your Coding Skills
Prepare to demonstrate your coding abilities during the interview. Familiarise yourself with common programming languages used in data science, like Python or R. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to boost your confidence.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining complex data concepts in simple terms. Think about how you would present your findings to non-technical stakeholders. Clear communication can set you apart from other candidates who may have similar technical skills.
✨Research the Company
Take some time to understand the company’s mission and values, especially their focus on AI in insurance. Being able to relate your answers to their specific goals will show that you’re genuinely interested in the position and how you can contribute to their success.
