Trust & Safety SQL Analyst (AI & Machine Learning)

Principle; Dublin; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

Principle is seeking a Trust & Safety Analyst to help shape the future of online trust, safety and marketplace integrity. This role blends AI, machine learning and data analytics to detect abuse, reduce risk and improve the shopping experience for users worldwide.

You will analyse large datasets, evaluate ML/LLM models, and collaborate with Engineering, Product and Data Science to design scalable Trust & Safety solutions and dashboards that guide strategic decisions.

Qualifications

• Experience in Trust & Safety or Platform Integrity within a tech environment.
• Strong SQL skills and ability to derive insights from large datasets.
• Familiarity with AI safety, ML concepts and AI-powered detection.
• Proven ability to influence stakeholders across Product, Engineering and Data Science.

Responsibilities

• Analyse large datasets to identify abuse patterns, fraud trends and emerging risks across a global eCommerce platform.
• Evaluate and improve machine learning models and LLM-driven solutions used to detect harmful behaviour and policy violations using SQL.
• Investigate complex edge cases and ambiguous scenarios, turning findings into scalable recommendations that improve automated detection.
• Partner closely with Engineering, Product, Data Science and Policy teams to design and implement new Trust & Safety solutions.
• Drive strategic projects that improve operational performance, reduce risk and enhance platform integrity.
• Develop dashboards, reporting and data-driven insights to influence business decisions and product improvements.
• Continuously optimise processes and systems through experimentation, analysis and stakeholder collaboration.

Skills

Trust & Safety

SQL

AI/ML concepts

Data analytics

Cross-functional collaboration

Tools

LLMs

Job description

Trust & Safety SQL Analyst (AI & Machine Learning)

• Contract : 12 months
• Location: Dublin Hybrid

Are you passionate about using AI, machine learning and data analytics to solve complex Trust & Safety challenges?

We're partnering with a leading global technology company to hire a Trust & Safety Analyst who will help shape the future of online trust, safety and marketplace integrity.

This is a highly analytical role where you'll work at the intersection of Trust & Safety, SQL,Large Language Models (LLMs), machine learning and data science, helping to build scalable solutions that detect abuse, reduce risk and improve the online shopping experience for millions of users worldwide.

What you'll be doing

• Analyse large datasets to identify abuse patterns, fraud trends and emerging risks across a global eCommerce platform.
• Evaluate and improve machine learning models and LLM-driven solutions used to detect harmful behaviour and policy violations using SQL.
• Investigate complex edge cases and ambiguous scenarios, turning findings into scalable recommendations that improve automated detection.
• Partner closely with Engineering, Product, Data Science and Policy teams to design and implement new Trust & Safety solutions.
• Drive strategic projects that improve operational performance, reduce risk and enhance platform integrity.
• Develop dashboards, reporting and data-driven insights to influence business decisions and product improvements.
• Continuously optimise processes and systems through experimentation, analysis and stakeholder collaboration.

What we're looking for

• Experience in Trust & Safety, SQL, AI Safety, Platform Integrity, Fraud, Risk, eCommerce Integrity or Online Marketplace Safety within a technology environment.
• Strong understanding of Large Language Models (LLMs), machine learning concepts and AI-powered detection systems.
• Experience analysing large datasets using SQL and applying insights to solve complex business problems.
• Experience evaluating AI or ML models, identifying failure patterns and recommending improvements to model performance.
• Proven ability to lead cross-functional projects and influence stakeholders across Product, Engineering and Data Science.
• Strong analytical thinking, problem-solving skills and the ability to thrive in ambiguous environments.