FinTech Data Scientist: Fraud & Billing Innovator

CloudFlare; Greater London; On-site; GBP 70,000 - GBP 90,000; Full time

Job summary

A leading internet technology company is seeking a Data Scientist to join its FinTech Data Science team in London. The role involves applying advanced statistical analyses and machine learning models to solve challenges related to Billing and Fraud. Candidates should possess strong foundational knowledge of data science principles, experience in developing ML models, and the ability to work collaboratively across teams to translate complex business requirements into scalable solutions. This is a chance to drive innovation in FinTech products at a dynamic and inclusive company.

Benefits

Diversity and inclusiveness initiatives

Professional development opportunities

Flexible working arrangements

Qualifications

• 5+ years of industry experience in data science.
• Strong knowledge and practical experience in machine learning.
• Experience deploying models in production environments.

Responsibilities

• Apply ML models to solve challenges in Billing and Fraud.
• Lead development of fraud detection framework.
• Collaborate with teams to create scalable data science solutions.

Skills

Machine learning

Statistical modeling

SQL

Python

Data pipeline management

Natural Language Processing (NLP)

Education

MS/PhD in a quantitative field

Job description

A leading internet technology company is seeking a Data Scientist to join its FinTech Data Science team in London. The role involves applying advanced statistical analyses and machine learning models to solve challenges related to Billing and Fraud. Candidates should possess strong foundational knowledge of data science principles, experience in developing ML models, and the ability to work collaboratively across teams to translate complex business requirements into scalable solutions. This is a chance to drive innovation in FinTech products at a dynamic and inclusive company.