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Data Scientist - Fraud Detection ML Production & Impact | Spain

Moniepoint Inc.

is actively seeking a skilled Data Scientist to bolster its fraud-focused initiatives in Spain.

This pivotal role involves the creation and deployment of sophisticated machine learning models, the execution of rigorous experiments, and the identification of crucial fraud signals to safeguard a vast user base across the platform.

The ideal candidate will be instrumental in prototyping, evaluating, and monitoring model performance while collaborating effectively with engineering, product management, and analytics teams to translate data-driven insights into robust, production-ready fraud mitigation strategies.

Success in this position requires a strong foundational understanding of statistical principles, coupled with advanced proficiency in Python and SQL.

You will play a key part in building and deploying ML models to detect and prevent fraudulent activities, contributing directly to the security and integrity of our services for millions of users.

This is a fantastic opportunity to make a significant impact within a dynamic organization.

Private
full-time
Spain

Jobs Date Posted: 03 November, 2026
Jobs Last Date to Apply: 18 December, 2026
Industry: Technology
Jobs Industry Type: Private
Job Hiring Organization: Moniepoint Inc.
Occupational Category: Data Science
Employment Type: full-time
Advertisement Source: Eurojobs
Job Location: Andalucía
Country of Appointment: Spain
Employer Department: Fraud Detection
Employer Contact Phone: 03012861919
🎓 Qualifications Required

Further Details

This exciting opportunity in Spain calls for an experienced Data Scientist specializing in fraud detection and machine learning model production. The role at Moniepoint Inc. centers on developing, deploying, and monitoring ML models to identify and neutralize fraudulent activities impacting millions of users. You will work closely with cross-functional teams to implement effective fraud mitigation solutions. Essential qualifications include a strong statistical background and exceptional Python and SQL skills. The position demands a proactive approach to prototyping, evaluating, and optimizing models, ensuring their seamless integration into production environments. This role offers a chance to leverage advanced data science techniques in a challenging and rewarding setting, contributing to the security and trustworthiness of a leading platform.

Data Scientist - Fraud Detection ML Production & Impact

Moniepoint Inc. is seeking a talented Data Scientist to join its specialized fraud detection team in Spain. This role is crucial for building and deploying advanced machine learning models designed to protect millions of users by identifying and mitigating fraudulent activities. Additionally, Technology employment opportunities are available for qualified candidates. You will engage in a dynamic process of prototyping, rigorous evaluation, and continuous monitoring of models, working hand-in-hand with engineering, product management, and analytics experts. The ultimate goal is to translate complex data insights into robust, production-ready fraud prevention mechanisms.

This position offers a unique opportunity to contribute to a high-impact area within the company, leveraging strong statistical acumen and exceptional Python and SQL skills. The successful candidate will play a key role in enhancing platform security and user trust through cutting-edge data science practices. Explore exciting career development and competitive salary prospects in this challenging role.

  • Job Title: Data Scientist - Fraud Detection ML
  • Location: Andalucía, Spain
  • Employer: Moniepoint Inc.
  • Key Skills: Python, SQL, Machine Learning, Statistical Analysis
  • Responsibilities: Model deployment, fraud signal identification, cross-functional collaboration

Skills

  • Strong statistical background
  • Proficiency in Python
  • Proficiency in SQL
  • Experience with machine learning model deployment
  • Ability to prototype and evaluate models
  • Collaborative teamwork skills

Duties and Responsibilities:

  • Build and deploy machine learning models for fraud detection
  • Run experiments to identify and surface fraud signals
  • Prototype, evaluate, and monitor model performance
  • Collaborate with engineers, product managers, and analysts
  • Translate findings into production-grade fraud mitigation strategies

How to apply

  • Prepare your Application: Ensure your Curriculum Vitae (CV) and any relevant supporting documents are up-to-date and professionally formatted.
  • Review Requirements: Carefully read through the job description, required skills, and responsibilities to confirm your suitability for the Data Scientist role.
  • Access Application Portal: Navigate to the official application link provided for this vacancy.
  • Submit Application: Complete the online application form with accurate personal and professional information.
  • Follow Instructions: Adhere strictly to any specific instructions mentioned within the application portal or advertisement.
  • EU Work Permit: Note that an EU work permit is required for this position.
  • Contact for Inquiries: For any queries, you may reach out via the provided WhatsApp contact or phone number.
  • Apply by Deadline: Ensure your application is submitted on or before the closing date to be considered.
  • Application Link:https://eurojobs.com/jobs/36953244/apply




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