Data Scientist (AI)

Location: Hybrid work from the London office in Farringdon, with attendance expected about three days a week

Company

hirify.global develops custom-built technology solutions for sports events and properties, including broadcast, digital, and fan-facing products delivered through B2C and B2B applications and APIs.

What you will do

• Develop, train, evaluate, validate, and deploy statistical and machine learning models, with a focus on probabilistic approaches.
• Query, clean, and explore sports datasets using Python and SQL to support feature development and model building.
• Build and maintain data pipelines that ingest and validate new and messy sports data sources.
• Support solutions built for specific sporting events, including fixed-deadline delivery and go-live support.
• Apply version control, testing, documentation, and disciplined model development practices.
• Collaborate with cross-functional colleagues and explain findings to technical and non-technical client stakeholders.

Requirements

• Hands-on experience building and evaluating models in a data science or quantitative context.
• Strong grounding in machine learning, supervised and unsupervised methods, classical statistics, probabilistic models, uncertainty estimation, and Bayesian inference.
• Understanding of the complete model training pipeline, including data preparation, feature selection, model selection, and validation.
• Practical proficiency with Python and SQL for data exploration, feature development, and modelling workflows.
• Interest in data engineering and ownership of the pipelines that feed models.
• Close interest in sport, strong communication skills, and the ability to translate client needs into modelling decisions.

Nice to have

• Golf knowledge, including strokes gained, shot-level data, and tournament dynamics.
• Experience building production data pipelines or working with AWS Lambda, EventBridge, and DynamoDB.
• Experience with Monte Carlo methods or probabilistic simulation.
• Experience using AI-assisted coding tools such as Claude Code or Cursor.

Culture & Benefits

• Cross-functional collaboration across technology and business disciplines.
• AI-forward working culture.
• Eligibility for a bonus scheme.
• Private health insurance.
• Personal days, including birthdays and health and wellness days.