Senior Pricing Optimisation Data Scientist

Harnham - Data & Analytics Recruitment; Birmingham; On-site; GBP 60,000 - 70,000; Full time

Job summary

A leading global firm in pricing and revenue intelligence is seeking a Senior Pricing Optimisation Data Scientist in Birmingham. The role focuses on developing advanced pricing algorithms and conducting in-depth research, requiring a strong quantitative background and proficiency in Python. Ideal candidates will possess a PhD or relevant experience, ideally with a mix of statistical and machine learning expertise.

Qualifications

• PhD or Master's in quantitative field with pricing optimisation experience preferred.
• Strong background in statistical modelling and optimisation required.
• Proficiency in Python and data science libraries essential.

Responsibilities

• Conduct deep research into pricing optimisation strategies for hotel revenue.
• Develop models in Python using Pandas and statistical tools.
• Translate pricing problems into mathematical frameworks.

Skills

Statistical modelling

Optimisation

Machine learning

Python

Data analysis

Education

PhD in Mathematics, Statistics, Physics, or related field

Master's degree with relevant experience

Tools

Pandas

NumPy

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

Intro chat

Take-home exercise and presentation

Sign off chat