Fraud-Detection Data Scientist | Real-Time ML

Ravelin; Greater London; Hybrid; GBP 65,000 - 85,000; Full time

Job summary

A leading fraud detection company located in the United Kingdom is looking for a Data Scientist to join their Detection team. In this role, you will train, deploy, and evaluate fraud detection models, utilizing your expertise in ML and software engineering best practices. The ideal candidate will collaborate effectively, communicate technical concepts clearly, and will thrive in a hybrid work environment that values flexibility and wellness. Enjoy benefits like health insurance, learning budgets, and generous time off.

Benefits

Flexible Working Hours & Remote-First Environment

Comprehensive BUPA Health Insurance

£1,000 Annual Wellness and Learning Budget

Monthly Wellbeing and Learning Day

25 Days Holiday + Bank Holidays + 1 Extra Cultural Day

Mental Health Support via Spill

Aviva Pension Scheme

Ravelin Gives Back

Fortnightly Randomised Team Lunches

Cycle-to-Work Scheme

BorrowMyDoggy Access

Weekly Board Game Nights & Social Budget

Qualifications

• Significant experience in building and deploying ML models.
• Understand software engineering best practices related to ML.
• Ability to manage your workload and prioritize effectively.

Responsibilities

• Build model evaluation and training infrastructure.
• Develop and deploy new models while maintaining SLAs.
• Mentor junior team members.
• Investigate model performance issues.

Skills

ML models building and deployment

Strong analytical skills

Collaborative work

Communication of technical ideas

Tools

Python data stack (numpy, pandas, sklearn)

Docker

Kubernetes

Tensorflow

Job description

A leading fraud detection company located in the United Kingdom is looking for a Data Scientist to join their Detection team. In this role, you will train, deploy, and evaluate fraud detection models, utilizing your expertise in ML and software engineering best practices. The ideal candidate will collaborate effectively, communicate technical concepts clearly, and will thrive in a hybrid work environment that values flexibility and wellness. Enjoy benefits like health insurance, learning budgets, and generous time off.