Data Scientist

2 weeks ago


Manchester England, United Kingdom Awaze Full time £60,000 - £100,000 per year

We are Awaze, the largest managed vacation rentals and holiday resorts business in Europe, which brings together some of the continent's most trusted travel brands, including , Hoseasons and Novasol.

With over 1.5 million bookings each year, we're proud to offer our guests a choice of over 100,000 properties in our portfolio, in 25 countries across Europe.

Position:
Data Scientist

We're entering an exciting new phase of our tech and product strategy, with a focus on innovation, experimentation, and conversion at the heart of everything we do. Our mission is to elevate the web and mobile experience for our guests and owners, driving seamless journeys across all our group companies.

To achieve our goals, we're looking to make some key hires—are you ready to be part of the transformation and help shape the future of the travel industry?

About the role

As a Data Scientist you will report directly to our Head of Data Science, you'll play a key role in solving a variety of challenges such as: ranking search results to maximise lifetime value; dynamic pricing; predicting customer intent; programmatic marketing campaigns; optimize marketing channels; personalisation; innovating supported promotions & products for our owners; and supporting innovation for the overall user experience.

Your day-to-day responsibilities

We're looking for an experienced Data Scientist to:

  • Work closely with Commercial teams to implement data-driven strategies.
  • Communicate findings and insights to senior stakeholders, influencing data-driven decision-making.
  • Communicate findings and recommendations to stakeholders in a clear and actionable manner.
  • Build A/B testing frameworks to measure the effectiveness of pricing strategies.
  • Design, experiment and implement models and algorithms to maximise customer experience, commercial value, business outcomes, and infrastructure readiness.
  • Analyse large datasets to uncover insights and drive decision-making.
  • Optimize and scale existing models to improve performance and efficiency.

What we're looking for

We're seeking a commercially experienced Data Scientist with experience analysing complex requests and refining them for stakeholders – someone who can offer a varied data set background and expertise in the following:

You should have:

  • Excellent problem-solving skills with the ability to translate data-driven insights into actionable business decisions.
  • Prior experience in e-commerce, marketplace platforms, or travel tech.
  • Proven experience in developing machine learning models that drive business impact and improve user behaviour.
  • Good understanding of supervised and unsupervised machine learning models.
  • Excellent understanding experimental techniques and statistics, as well as coding proficiency using related open-source libraries and frameworks.
  • Strong Python and SQL skills, with experience using AWS to run models in production.
  • Strong mathematical foundation – Expertise in areas such as econometrics, game theory, and behavioural economics to ensure pricing algorithms align with our pricing strategies.
  • Experience building and utilising streamlit apps to surface information or insights to stakeholders.

What will we offer you?

At Awaze, we're building a world-class data science function at the heart of our growth and innovation strategy. You'll have the opportunity to work on high-impact projects, shape the future of revenue & pricing, and be part of a forward-thinking, collaborative team.

Plus you'll also receive the following:

  • Annual Bonus Scheme
  • 25 days holidays plus bank holidays
  • Holiday Discounts across our network
  • Pension contribution scheme
  • Private healthcare
  • Hybrid working (2 days in Mcr office per week)
  • Training & certifications

Get in touch, we'd love to chat.

If you're excited by the idea of shaping the future of travel tech, we'd love to hear from you. Please send your profile and let's chat.


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