Data Scientist III, Analytics (Traveltech)

TL;DR

Data Scientist III, Analytics (Traveltech): Applying advanced statistical and machine learning techniques to B2B supply optimisation challenges with an accent on data-driven insights and measurement frameworks. Focus on designing A/B tests, causal impact analysis, and building scalable statistical models to drive business growth.

Location: Hybrid in London, United Kingdom

Company

hirify.global is a global travel technology company powering travel for everyone, everywhere through its diverse portfolio of brands.

What you will do

• Apply advanced statistical and ML techniques to solve supply optimisation challenges and deliver measurable business impact.
• Extract and transform data from multiple sources to build datasets for modelling and in-depth analysis.
• Design and execute measurement frameworks, including A/B testing, causal impact analysis, and multivariate methods.
• Build, evaluate, and iterate on statistical models such as regression, clustering, and classification.
• Develop data visualisations and narratives to communicate insights to technical and non-technical stakeholders.
• Lead analytical workstreams and provide coaching and feedback to junior team members.

Requirements

• Degree in Mathematics, Statistics, Computer Science, or a related technical field.
• 4–6 years of experience in data science/analytics (with degree) or 7+ years of professional experience.
• Advanced proficiency in SQL, Python, or R for data extraction and transformation at scale.
• Proficient understanding of statistical concepts including regression, ANOVA, probability, and Bayesian approaches.
• Experience applying modelling techniques like linear/logistic regression and clustering.
• Must be based in or able to work from London, UK.

Nice to have

• Experience in supply optimisation, pricing, or marketplace analytics.
• Familiarity with big data tools such as Presto, Hive, BigQuery, or Hadoop.
• Exposure to Bayesian methods, causal inference, or multi-armed bandit approaches.
• Experience collaborating with Machine Learning teams to validate and scale models.

Culture & Benefits

• Full benefits package including exciting travel perks.
• Generous time-off and parental leave.
• Flexible work model with access to modern office spaces.
• Career development resources to support professional growth.
• Inclusive work environment focused on diversity and belonging.