Data Scientist

Harnham
united kingdom
9 months ago
Applications closed

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Building Data Science and Machine Learning Teams in the UK | The Talent Driving The Data and AI Revolution

Data Scientist – Pricing (Hospitality & Travel)

London, UK (Hybrid or Remote – Flexible)

Up to £70,000 + Equity + Benefits

About the Company

We’re partnered with a rapidly scaling, Series D tech business that’s transforming commercial decision-making in the hospitality and travel industries through AI and data science. The company leverages modern machine learning techniques to build intelligent pricing and revenue optimization systems that directly impact customer outcomes and business performance.

They’re now hiring a Data Scientist to join their Pricing Algorithms team. In this role, you’ll work on designing, testing, and deploying models that power real-time dynamic pricing decisions at scale. You’ll have the opportunity to build end-to-end solutions, from experimentation through to production, in a highly collaborative, research-driven environment.

Key Responsibilities

  • Develop pricing models that optimize revenue and customer value using machine learning and statistical techniques
  • Contribute to the design and refinement of internal pricing libraries and infrastructure
  • Conduct robust experimentation (A/B testing, simulation, sensitivity analysis) to validate model improvements
  • Collaborate with product and science teams to translate business problems into analytical solutions
  • Write clean, production-ready code and support testing, validation, and monitoring of deployed models
  • Stay up to date with the latest trends in pricing science, ML, and AI

About You

You’re an analytical thinker with experience in pricing, revenue management, or applied machine learning. You thrive in an environment where experimentation, measurable impact, and technical ownership are key. You care about building reliable models that solve complex business problems.

Requirements:

  • 2–4 years of experience in data science, pricing, or revenue management roles
  • Coming from a PhD background
  • Proficiency in Python and core libraries (e.g. NumPy, Pandas, Scikit-learn, SciPy)
  • Solid understanding of statistical modeling and optimization techniques for pricing or revenue problems
  • Experience designing and interpreting controlled experiments (e.g. A/B tests)
  • Familiarity with cloud tools (e.g. GCP, AWS) and orchestration frameworks (e.g. Dagster, Airflow)
  • Comfortable working in a production environment with high model accountability
  • Knowledge of reinforcement learning, demand elasticity modeling, or dynamic pricing is a bonus

Please note: this role does not offer sponsorship.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering, Science, and Analyst
  • IndustriesHospitality

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