Wanted: Graduate Data Scientist: AI, Fraud & Automation

Wanted: Graduate Data Scientist: AI, Fraud & Automation

Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
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 AI industry.
  • Qualifications: Recent graduates with strong coding skills and knowledge of AI.

The predicted salary is between 63000 - 77000 Β£ 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. #J-18808-Ljbffr

Wanted: 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

We think you need these skills to ace Wanted: Graduate Data Scientist: AI, Fraud & Automation

Problem-Solving Skills
Python
Communication Skills
SQL
Automation
Data Quality Assurance
Attention to Detail