Senior Data Scientist, Product Analytics (AI/ML)

Location: London, United Kingdom; employees must work in the office at least three days a week under the flexible work model. Relocation assistance is not available.

Company

hirify.global is a global travel company connecting travelers, partners, and advertisers through consumer brands, B2B travel services, and travel advertising.

What you will do

• Develop and deploy advanced machine learning models for complex business challenges and data-informed decision-making.
• Design and lead A/B, quasi-experimental, and causal experiments measuring localization impacts on traveler engagement and booking conversion.
• Own the experimentation framework and metric frameworks for the Localization product area.
• Build scalable analytics pipelines, self-service dashboards, and end-to-end data pipelines using advanced SQL and Python.
• Translate multilingual data insights into recommendations for product, engineering, and executive audiences.
• Mentor data scientists and engineers while integrating reliable, ethical, and scalable AI/ML solutions.

Requirements

• Bachelor’s degree or higher in Statistics, Economics, Computer Science, Data Science, or a related quantitative field, or equivalent professional experience.
• 8+ years of industry experience in data science, applied science, or analytics; 6+ years with an MS or PhD.
• Expertise in statistical modeling, experiment design, A/B testing, quasi-experiments, and causal inference.
• Hands-on experience building production-scale ML/NLP models and working with large-scale unstructured text data.
• Advanced proficiency in SQL and Python, with experience writing clean, production-quality code.
• Experience with LLMs, prompt design, evaluation methods, RAG patterns, advanced visualization, and scalable dashboards.

Culture & Benefits

• Work on products used by millions of travelers worldwide.
• Collaborate across product, engineering, business, and analytics functions.
• Operate within a flexible work model with regular in-office collaboration.
• Support an inclusive and accessible recruiting experience.