Lead Data Scientist

About the role

PaymentIQ is creating a new data team in Bitola to turn large‑scale transaction data into actionable intelligence. As a Lead Data Scientist you will own the design and delivery of fraud‑ and anomaly‑detection models, building the capability from the ground up while guiding experimentation and model development.

Key responsibilities

• Design, develop and validate fraud detection and anomaly detection models.
• Analyse massive payment transaction datasets to uncover patterns and risks.
• Define experimentation frameworks for machine‑learning models.
• Collaborate with Data Engineers to ensure data pipeline availability and quality.
• Work closely with Product teams to align roadmap priorities with data‑science solutions.
• Translate business problems into concrete data‑science projects.
• Mentor and support growing team members while contributing hands‑on to model development.

Required profile

• 5+ years of experience in data science or machine learning.
• Strong proficiency in Python and common data‑science libraries.
• Experience with large‑scale datasets in production environments.
• Understanding of data pipelines handling structured and unstructured data.
• Hands‑on experience with AWS infrastructure for building and deploying models.
• Ability to work in a greenfield setting with limited predefined structure.
• Excellent English communication skills.

Required skills

• Python
• AWS
• Data pipelines
• Machine learning

What we offer

• Ownership of a new data‑science capability within PaymentIQ.
• Direct impact on fraud prevention and product intelligence.
• Opportunity to shape a team from its early stages.
• Collaboration with international engineering and product teams.
• Company‑provided equipment (MacBook) and standard European working hours.