Data Science Manager: Trust & Fraud ML Leader

Trustpilot; København; Hybrid; DKK 900,000 - 1,300,000; Full time

Benefits offered by this job

Flexible working options

Competitive compensation package + 1%–

25 days holiday + 5 days after 1 year

Two volunteering days per year

Learning & development via Trustpilot

Health package, pension, Headspace

Parental leave

Vibrant Copenhagen office

Social & community events

Employee discounts

Leadership development program

Job summary

Trustpilot in Copenhagen is seeking a Data Science Manager to lead two teams of data scientists and engineers, delivering ML-driven content moderation and scalable solutions.

You will bridge data science and engineering, own end-to-end lifecycle from concept to production, and collaborate across Legal, Platform Engineering, and Data Science teams. A hands-on leader with strong communication is essential.

Qualifications

• Experience leading two cross-functional teams of Data Scientists and Engineers.
• Proven record delivering scalable ML systems from concept to production.
• Hands-on data science with end-to-end lifecycle responsibilities.
• Familiarity with fraud detection or platform integrity is a plus.

Responsibilities

• Lead two cross-functional teams of Data Scientists and Engineers focused on automated content moderation and fraud detection.
• Own delivery across ML research goals and production-ready systems.
• Plan, scope, and prioritise technical work with product partners.
• Manage stakeholders, risks, and progress while developing talent.

Skills

Team Leadership

ML/AI systems

Cloud & Real-Time ML

GCP

Fraud detection

Production ML deployment

Engineering leadership

Hands-on AI/ML

Stakeholder management

Cross-functional collaboration

Tools

GCP

TensorFlow

PyTorch

Job description

Trustpilot in Copenhagen is seeking a Data Science Manager to lead two teams of data scientists and engineers, delivering ML-driven content moderation and scalable solutions.

You will bridge data science and engineering, own end-to-end lifecycle from concept to production, and collaborate across Legal, Platform Engineering, and Data Science teams. A hands-on leader with strong communication is essential.