Data Analyst (Machine Learning)

Location: Hybrid role based in Dublin, Ireland

Company

hirify.global provides a customer engagement platform for sports betting and gaming, financial services, and other regulated sectors, combining real-time customer data, omnichannel activation, AI optimisation, gamification, and advanced intelligence.

What you will do

• Own production churn, customer lifetime value, propensity, and similar customer models end to end.
• Validate models against holdout data and live outcomes, monitoring drift, bias, and degradation.
• Define client data structures, entities, attributes, and requirements for implementation by Data Modellers.
• Identify data gaps and quality issues and coordinate fixes with client and internal teams.
• Document models, features, assumptions, metrics, and validation approaches for regulated environments.
• Explain model results to non-technical stakeholders and provide insights to Product for roadmap development.

Requirements

• 5+ years of experience in an ML-focused role, ideally in financial services or another regulated sector.
• A degree in statistics, computer science, mathematics, economics, or another quantitative field.
• Proven experience building, deploying, and maintaining customer models in live environments.
• Strong Python and experience with common machine learning libraries.
• Advanced SQL, including window functions, complex joins, and query optimisation.
• Strong data modelling skills, including dimensional modelling, fact and dimension design, and handling changing data.
• Experience with ClickHouse or another columnar database, including table design, ordering keys, partitioning, and materialized views or scheduled refreshes.
• Knowledge of model and data validation, including metric selection, holdout design, calibration, and reconciliation with source data.
• Experience defining consistent metrics and building BI dashboards and their underlying datasets, ideally in Metabase.
• Experience with cloud data platforms such as AWS or Snowflake.
• Strong analytical, problem-solving, and written communication skills.

Nice to have

• Experience with customer engagement, CRM, marketing decisioning, marketing, or campaign data.
• Experience with MLOps tooling, including experiment tracking, model registries, and CI/CD for models.
• Experience with dbt or a similar SQL modelling framework and Git for version control.
• Experience with MySQL as a source system.

Culture & Benefits

• Permanent, full-time employment.
• Hybrid working arrangement based in Dublin.
• Work across multiple clients and regulated industry environments.