Senior Pricing Optimisation Data Scientist

ZipRecruiter; Manchester; On-site; GBP 60,000 - 70,000; Full time

Job summary

A global leader in pricing intelligence seeks a Senior Pricing Optimisation Data Scientist to join their innovative team. In this analytical role, you will develop models and strategies that optimize hotel revenue, contributing to impactful decisions in the travel and hospitality sectors. Ideal candidates will have a PhD in a quantitative field and a strong foundation in statistical modeling, with a passion for solving complex, research-driven problems.

Qualifications

• PhD in a related quantitative field or Master's with relevant experience.
• Strong foundation in statistical modelling and optimisation.
• Fluency in Python and familiarity with data science tools.

Responsibilities

• Conduct deep research into pricing optimisation strategies.
• Develop models in Python using statistical tooling.
• Translate pricing problems into statistical frameworks.

Skills

Statistical modelling

Optimisation

Machine learning fundamentals

Fluency in Python

Data science tools (e.g., Pandas, NumPy)

Education

PhD in Mathematics, Statistics, or Physics

Master's with significant pricing optimisation experience

Job description

Job Description

Senior Pricing Optimisation Data Scientist

Location: UK-based

Salary: £60,000 – £70,000

The Opportunity

Join a global leader in pricing and revenue intelligence, recently expanded through the acquisition of a high-growth startup. As part of a specialised team of highly academic Data Scientists, you’ll contribute to cutting-edge pricing algorithms that help reshape decision-making in travel and hospitality industries.

This is a deeply analytical role that values theoretical understanding and scientific thinking over production engineering. If you enjoy complex, research-driven problems with real-world impact – this is for you.

What You'll Do

• Conduct deep research into pricing optimisation strategies for hotel revenue
• Develop models in Python using Pandas, statistical tooling, and custom algorithms
• Translate real-world pricing problems into mathematical and statistical frameworks
• Work independently and contribute to a culture of intellectual rigor and curiosity

Ideal Profile

• PhD in Mathematics, Statistics, Physics, or a related quantitative field (Master’s with significant pricing optimisation experience considered)
• Strong foundation in statistical modelling, optimisation, and machine learning fundamentals
• Fluent in Python and data science tools (e.g., Pandas, NumPy)
• Prior experience in revenue management or pricing is a plus, but not required

Interview Process

1. Intro chat
2. Take-home exercise and presentation
3. Sign off chat