Data Scientist in London Area

Job description

Data Scientist – Price Optimisation

Location: Remote (UK-based, London preferred)

Salary: £60,000–£70,000 + 5–8% bonus + Equity

The Company

A global pricing and revenue optimisation leader originally focused on airline pricing, now expanding into the hotel and hospitality sector. Following the acquisition of Pace Revenue, the team in the UK forms a key part of their hotel pricing division, operating under the same Flyr brand.

The Role

This is a deeply analytical and research-driven role within the Pricing Optimisation team. You'll be focusing on advanced mathematical modelling and pricing logic development to enhance the company’s pricing engine. Unlike traditional ML-focused roles, this will go deeper into statistical theory and pricing dynamics to influence global product strategy.

Key Responsibilities

- Research and develop advanced pricing models for hotel revenue optimisation.

- Work closely with other data scientists and engineers to deploy new logic.

- Collaborate on experimentation, testing and performance evaluation.

- Present findings to technical and non-technical stakeholders.

- Contribute to long-term pricing strategy alongside product and business teams.

Skills & Experience

Essential:

- PhD in a mathematics, statistics or quantitative field (or Master’s with strong pricing experience).

- Excellent Python and Pandas skills.

- Strong understanding of machine learning principles (excluding deep learning).

- Ability to work independently on complex mathematical problems.

- Research-led mindset with a passion for optimisation.

Desirable:

- Experience with pricing in hospitality or travel sectors.

- Familiarity with academic or research environments.

Team & Structure

You’ll join the Pricing Optimisation team, working alongside 3 Senior Data Scientists under the management of James Butler. The wider DS function includes a Forecasting team and engineering support, with additional collaboration across global locations.

Benefits

- 5–8% performance bonus (depending on level)

- Equity

- Private healthcare

- 25 days holiday

- Nursery benefit (tax-free)

- Remote-first working policy (UK only)

Interview Process

1st Stage: Intro chat with DS Manager

2nd Stage: Live technical screen share coding task (1 hour)

3rd Stage: Take-home task (up to 3 hours)

4th Stage: Presentation (30 mins)

5th Stage: Deep dive on ML and culture fit

Final Stage: VP sign-off conversation

How to Apply

Send your CV to Mohammed Buhariwala at Harnham or reach out directly for more information about the opportunity.

Extra information

Status

Open

Education Level

Secondary School

Location

London Area

Type of Contract

Part-time jobs

Published at

01-08-2025

Full UK/EU driving license preferred

No

Car Preferred

No

Must be eligible to work in the EU

No

Cover Letter Required

No

Languages

English