Graduate Data Scientist: AI, Fraud & Automation

Graduate Data Scientist: AI, Fraud & Automation

Full-Time 30000 - 40000 £ / year (est.) No working from home possible
Shift Technology

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 and flexible working options.
  • Other info: Exciting opportunity for career growth in a fast-paced environment.
  • Why this job: Join a dynamic 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 employer: Shift Technology

Shift Technology is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for aspiring Data Scientists. With a competitive benefits package and ample opportunities for professional growth, employees are encouraged to develop their skills while contributing to transformative projects in the insurance industry. Located in the vibrant city of London, the role offers a dynamic work environment where creativity and client engagement are highly valued.

Shift Technology

Contact Details:

Shift Technology Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Graduate Data Scientist: AI, Fraud & Automation

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 insider info about job openings or even referrals.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to fraud detection or machine learning. This gives us a tangible way to see what you can do.

Tip Number 3

Prepare for interviews by brushing up on common data science questions and coding challenges. Practising with friends or using online platforms can help us feel more confident.

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

Machine Learning
Fraud Detection
Claims Automation
Coding Skills
Data Analysis
AI Knowledge
Communication Skills

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! Tell us why you're passionate about AI and fraud detection, and how your background makes you a great fit for our team. Keep it engaging and personal.

Showcase Your Communication Skills:As a Data Scientist, you'll need to explain complex concepts clearly. Use your application to demonstrate your ability to communicate effectively, whether through your writing style or by including examples of past presentations.

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 Shift Technology

Know Your Data Science Basics

Brush up on your fundamental data science concepts, especially around machine learning models. Be prepared to discuss how you would approach fraud detection and claims automation using different data types.

Show Off Your Coding Skills

Since strong coding skills are a must, practice coding challenges related to data manipulation and model implementation. Be ready to demonstrate your coding abilities during the interview, as they might ask you to solve a problem on the spot.

Communicate Clearly

Excellent communication is key in this role. Practice explaining complex data science concepts in simple terms. You might be asked to present your past projects, so make sure you can articulate your thought process and results effectively.

Research the Company

Familiarise yourself with the AI insurance platform's mission and values. Understanding their approach to fraud detection and claims automation will help you tailor your answers and show genuine interest in the role.