Fraud-Detection Data Scientist — Hybrid Work & Growth

Prima; Madrid (IA); Hybrid; USD 80,000 - 110,000; Full time

Benefits offered by this job

Hybrid working model

Access to learning resources

Private healthcare

Gym discounts

Wellbeing programs

Job summary

Prima is seeking a qualified candidate to design and improve fraud detection systems that prioritize high-risk claims. You will work closely with teams across the company and develop expertise in identifying emerging fraud patterns.

The successful candidate will have 3+ years of experience in data science and strong Python programming skills. This position offers a hybrid work environment, along with benefits like private healthcare and personal development resources.

Qualifications

• 3+ years of experience in data science or applied machine learning.
• Strong analytical skills with a quantitative mindset.
• Skilled in Python programming and data-oriented programming languages.

Responsibilities

• Design and improve fraud detection systems.
• Collaborate across teams including fraud analysts and engineers.
• Develop expertise in fraud dynamics and patterns.

Skills

Data science experience

Analytical mindset

Python programming

Problem-solving

Knowledge of Spark

Tools

Git

SQL

Pandas

Sklearn

Keras

XGBoost

LightGBM

Job description

Prima is seeking a qualified candidate to design and improve fraud detection systems that prioritize high-risk claims. You will work closely with teams across the company and develop expertise in identifying emerging fraud patterns.

The successful candidate will have 3+ years of experience in data science and strong Python programming skills. This position offers a hybrid work environment, along with benefits like private healthcare and personal development resources.