Data Scientist III, Analytics (B2B Supply Optimisation)

Location: London, United Kingdom

Company

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

What you will do

• Apply advanced statistical and machine learning techniques to B2B supply optimisation challenges.
• Extract, transform, and structure data from multiple sources for modelling and in-depth analysis.
• Design and execute A/B tests, causal impact analyses, and multivariate measurement frameworks.
• Build, evaluate, and improve regression, clustering, and classification models.
• Create data visualisations, narratives, dashboards, technical documentation, presentations, and executive summaries.
• Lead analytical workstreams, collaborate with senior stakeholders, automate reporting, and coach junior colleagues.

Requirements

• Degree in Mathematics, Statistics, Computer Science, or a related technical field, or equivalent professional experience.
• 4–6 years of experience in data science or analytics with a relevant degree, or 7+ years of comparable data analytics experience.
• Advanced proficiency in SQL, Python, or R for data extraction, transformation, and visualisation at scale.
• Strong understanding of regression, ANOVA, probability, frequentist and Bayesian approaches, and statistical significance.
• Experience applying modelling techniques and delivering data-driven insights across multiple projects.
• Ability to communicate clear data stories to technical and non-technical audiences.

Nice to have

• Experience in supply optimisation, pricing, marketplace analytics, or a related domain.
• Familiarity with Presto, Hive, BigQuery, or Hadoop.
• Exposure to Bayesian methods, causal inference, or multi-armed bandit approaches.
• Experience collaborating with machine learning and data science teams to validate and scale models.
• Knowledge of inclusive and accessible data visualisation principles.

Culture & Benefits

• Work in a global B2B travel business serving financial institutions, corporate travel providers, travel agents, and suppliers.
• Collaborate with analytics peers, domain experts, and business stakeholders.
• Access career growth, flexibility, benefits, and support for an inclusive working environment.
• Accommodation support is available during the application and recruiting process.