Customer Data Scientist (AI/AML)

Location: London, United Kingdom; hybrid

Company

hirify.global provides AI-supported anti-money laundering and fraud detection technology that combines traditional rules with explainable AI for banks and payment providers.

What you will do

• Tune and optimize detection models and thresholds using customers’ live transaction data, balancing detection effectiveness with false-positive volume.
• Investigate missed cases, alert quality, and pattern drift, converting findings into model tuning and configuration changes.
• Build customer-facing analyses showing investigator productivity gains, reduced false-positive costs, and improved detection effectiveness.
• Present findings to customer risk, compliance, and data science stakeholders, defending methodology and explaining model decisions.
• Partner with Customer Value Partners on account strategy, value realization, and renewal-related opportunities.
• Feed customer findings into product and model functions, document regulatory defensibility, and validate changes through backtesting, sample review, and sign-off.

Requirements

• 5–7 years of experience as a data scientist in a customer-facing role, including presenting analysis and defending model decisions directly to clients.
• Required experience in AML, fraud detection, or financial crime analytics, including transaction monitoring, typologies, and false-positive impact.
• Hands-on experience with Python, SQL, and production machine-learning tooling.
• Ability to act as the technical voice with customer risk, compliance, or data science stakeholders.
• Experience translating model performance into actionable business value, including investigator hours saved, false-positive costs avoided, and cases caught.
• Comfort working with ambiguity and live production systems, plus an ownership-oriented approach to investigating detection-performance drift.

Nice to have

• Experience with transaction monitoring or payments fraud detection at a bank, payment provider, or vendor serving them.
• Familiarity with explainable AI and rules-based hybrid detection approaches.

Culture & Benefits

• Hybrid work in London within a customer-focused regional team.
• Culture based on mutual trust, support, and professional growth.
• Opportunity to contribute to the fight against money laundering, fraud, and terrorist financing.