Staff Data Scientist, Pricing

New

AiraloTravel, Telecommunications

Remote and open to candidates across our supported locations in EuropeFull-TimeStaff

Salary93,200 - 139,800 GBP per year

Apply NowOpens the employer's application page

Job Details

7+ years in data science, quantitative economics, or applied research, specifically in pricing, monetisation, or marketplace economics.
Experience with dynamic or algorithmic pricing systems in production.
Advanced degree in Econometrics, Statistics, Operations Research, or equivalent applied experience in demand estimation.
Hands-on experience across the full machine learning lifecycle, including feature engineering and model selection through to deployment.
Familiarity with optimisation and decision-science methods like constrained optimisation, bandits, or reinforcement learning.
Proven experimentation expertise with clear decision frameworks.
Experience building analytical capability from the ground up.
Strong data modelling instincts and ability to define reusable metrics.
Fluency in the Python ML stack alongside strong SQL.
Excellent communication skills for presenting methodological arguments.

Build and own the demand and elasticity modelling capability, quantifying how price affects volume across destination, duration, data tier, and customer segment.
Develop machine learning models for demand forecasting and willingness-to-pay, and take them from exploration through to production.
Build the optimisation layer that turns forecasts and elasticities into recommended prices under margin, competitive and partner constraints.
Design and analyse pricing experiments with statistical rigour, and apply causal methods.
Define pricing within our data ecosystem, owning the governed definitions of price, cost and package economics.
Partner with Commercial and Finance to connect pricing decisions to margin and revenue.

View Full Description & ApplyYou'll be redirected to the employer's site