Data Scientist — Pricing & Revenue Optimisation (London Hybrid)

Openr; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Market traction and funding support

High impact on company growth

Autonomy in role

Innovative and inclusive culture

Job summary

A leading SaaS platform in the hospitality sector seeks a Data Scientist to develop pricing algorithms and optimize revenue strategies. You will analyze data, create predictive models, and collaborate with various teams to implement data-driven pricing solutions. Ideal candidates will have a degree in Data Science or related fields, strong programming skills, and experience in price optimization. This hybrid role requires at least 2 days a week in the London office and offers autonomy in shaping the data science approach.

Qualifications

• Experience in implementing large-scale price optimisation systems.
• Strong programming skills in Python or R.
• Solid understanding of pricing strategies and demand modeling.

Responsibilities

• Develop and maintain price optimisation algorithms.
• Analyse data to identify pricing opportunities.
• Build predictive models to forecast customer behavior.

Skills

Python

R

Data manipulation

Machine learning

Statistical modeling

Problem-solving

Excellent communication

Education

Bachelor's or Master's in Data Science, Computer Science, Mathematics, Statistics, or Economics

Tools

AWS

Job description

A leading SaaS platform in the hospitality sector seeks a Data Scientist to develop pricing algorithms and optimize revenue strategies. You will analyze data, create predictive models, and collaborate with various teams to implement data-driven pricing solutions. Ideal candidates will have a degree in Data Science or related fields, strong programming skills, and experience in price optimization. This hybrid role requires at least 2 days a week in the London office and offers autonomy in shaping the data science approach.