Data Science Leader

23 hours ago


Birmingham, Birmingham, United Kingdom Source Full time
Senior Data Scientist Opportunity

We are seeking a highly skilled Senior Data Scientist to lead our Pricing & Revenue Management initiatives. As a key member of our team, you will establish the foundation for our revenue management practices and drive significant business growth.

Job Summary:

  • This is a hybrid role based in the West Midlands, offering a competitive salary of £60,000 - £65,000 per annum.
  • The successful candidate will have a strong understanding of revenue management principles, including demand forecasting, optimisation, pricing strategies, and inventory management.

About the Role:

This is a challenging and rewarding opportunity for an experienced data scientist to join our Source team in the West Midlands. If you are passionate about Data Science and its ability to unlock commercial opportunities, we want to hear from you.

Your Responsibilities:

  1. You will collaborate with fellow data scientists to develop a cutting-edge Revenue Management System.
  2. Taking charge of revenue forecasting, delivering insights that empower business leaders to make informed decisions.
  3. Designing and implementing sophisticated algorithms for pricing strategies that maximise revenue potential.
  4. Executing comprehensive testing, including simulations and A/B tests, to evaluate the impact of your recommendations.
  5. Acting as a champion for data-driven decision-making, enhancing our understanding of market dynamics, our offerings, and customer preferences.
  6. Partnering with the Head of Revenue Management to promote the adoption of best practices across the organisation.

Requirements:

  • A degree in a quantitative field (BSc or MSc in Mathematics, Statistics, Economics, or related disciplines).
  • Excellent mathematical and analytical skills, with a proven track record in statistical modelling.
  • Expertise in forecasting and optimisation techniques.
  • A minimum of 5 years of relevant experience in industries such as airlines, hotels, retail, car rental, or e-commerce would be advantageous.


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