Associate Data Scientist
Associate Data Scientist

Associate Data Scientist

Full-Time 35000 - 45000 ÂŁ / year (est.) Home office (partial)
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Awaze

At a Glance

  • Tasks: Unlock business value through data by developing and applying machine learning models.
  • Company: Join Awaze, Europe's largest holiday rentals company with a people-first culture.
  • Benefits: Enjoy flexible hybrid working, generous holiday discounts, and real growth opportunities.
  • Why this job: Make a real impact by driving data-informed decisions across key business areas.
  • Qualifications: Foundational knowledge of machine learning, SQL, and Python; degree in a quantitative field.
  • Other info: Collaborative environment with a focus on continuous learning and innovation.

The predicted salary is between 35000 - 45000 ÂŁ per year.

As our new Data Scientist, your mission is to unlock business value through data by developing, improving, and applying machine learning models. Working across key areas such as Pricing, Search, Marketing, and CRM, you will help drive personalisation, optimise performance, and support better decision-making across the organisation.

What you’ll be doing:

  • Collaborate closely with Data Scientists and cross-functional teams to deliver impactful data science solutions.
  • Analyse large and complex datasets to identify patterns, trends, and opportunities for business growth.
  • Contribute to the development and implementation of machine learning models and data-driven approaches.
  • Support and enhance existing models, workflows, and data pipelines.
  • Translate data insights into clear, actionable recommendations for both technical and non-technical stakeholders.
  • Continuously learn and develop your capabilities in machine learning, experimentation, and SQL.

Who we’re looking for:

You’ll thrive in this role if you enjoy solving problems with data, working collaboratively across teams, and turning insights into real business impact. You are curious, analytical, and motivated to continuously improve your skills. We’re looking for someone who brings:

  • A foundational understanding of machine learning and statistical concepts.
  • Experience using SQL and Python for data analysis and model development.
  • A degree in Mathematics, Data Science, Computer Science, Economics, or a similar quantitative field.
  • Familiarity with testing and experimentation principles.
  • The ability to communicate complex ideas clearly to both technical and non-technical audiences.
  • A collaborative and proactive approach to getting things done.

How you’ll make an impact:

  • Deliver measurable business value through the application of machine learning models.
  • Contribute to improvements in key metrics such as NR1 uplift, occupancy, AWR, and churn reduction.
  • Collaborate with stakeholders across Pricing, Search, Marketing, and CRM to drive data-informed decisions.
  • Improve and scale data science models and pipelines.
  • Support innovation and experimentation across the organisation.

Why you’ll want to work at Awaze:

We offer a versatile position in a strong professional and social environment - one you’ll have the opportunity to influence and help shape. You’ll be part of an international company that invests in the future, and join a dynamic, fast-paced department with skilled and committed colleagues who support each other. We’re a people-first business - and we know that our success starts with our teams.

Here’s a glimpse of what you’ll enjoy:

  • Generous discounts on holidays across our brands.
  • Flexible hybrid working – with the autonomy to work how you work best.
  • Real opportunities to grow, learn and shape your role as well as careers progression vertically or horizontally, cross countries and responsibilities.

About Awaze:

At Awaze, we bring holidays to life. With over 110,000 holiday homes across 25 countries, we’re Europe’s largest holiday rentals company. Our purpose is simple – to delight our guests and homeowners while building an inspiring place to work for our people.

What’s next?

If this sounds like the right next step for you, hit “Apply” and follow the instructions to submit your application. We tailor our recruitment process to each role to give both you and our hiring teams the best possible chance to assess whether this could be the start of a successful collaboration. You’ll hear from us shortly after we’ve reviewed your application. We’re committed to running an inclusive and accessible recruitment process. All applicants will receive equal consideration for employment, and if you have any specific requirements or adjustments needed for the interview, just let us know when you accept your invitation - we’re happy to accommodate.

Associate Data Scientist employer: Awaze

At Awaze, we pride ourselves on being a people-first organisation that fosters a collaborative and supportive work culture. As an Associate Data Scientist, you'll have the opportunity to influence key business decisions while working in a dynamic environment that values continuous learning and professional growth. With flexible hybrid working options and generous discounts on holidays, Awaze is committed to ensuring that our employees thrive both personally and professionally.
Awaze

Contact Detail:

Awaze Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Associate Data Scientist

✨Tip Number 1

Network like a pro! Reach out to current employees at Awaze on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Associate Data Scientist role. Personal connections can make a huge difference!

✨Tip Number 2

Prepare for those interviews! Brush up on your machine learning concepts and SQL skills. Be ready to discuss how you've used data to drive business decisions in the past. We want to see your analytical side shine!

✨Tip Number 3

Show off your projects! If you’ve worked on any relevant data science projects, be sure to highlight them during your interview. Whether it’s a personal project or something from your studies, we love seeing practical applications of your skills.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Awaze!

We think you need these skills to ace Associate Data Scientist

Machine Learning
Statistical Concepts
SQL
Python
Data Analysis
Collaboration
Communication Skills
Problem-Solving
Data-Driven Decision Making
Testing and Experimentation Principles
Data Pipeline Development
Analytical Skills
Curiosity
Proactive Approach

Some tips for your application 🫡

Show Your Data Passion: Let us see your enthusiasm for data! In your application, share specific examples of how you've used data to solve problems or drive decisions. This will help us understand your motivation and fit for the role.

Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, SQL, and Python. We want to see how your skills align with our needs, so don’t be shy about showcasing your projects and achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to tell your story. Explain why you’re excited about the Associate Data Scientist role at Awaze and how you can contribute to our mission. Keep it concise but impactful!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!

How to prepare for a job interview at Awaze

✨Know Your Data

Before the interview, dive deep into the types of datasets you might be working with. Familiarise yourself with common patterns and trends in data analysis, especially in areas like Pricing and Marketing. This will help you speak confidently about how you can unlock business value through data.

✨Brush Up on Machine Learning

Make sure you have a solid understanding of machine learning concepts and algorithms. Be prepared to discuss how you've applied these in past projects or coursework. Highlight any specific models you've developed or improved, as this will show your hands-on experience.

✨SQL and Python Proficiency

Since SQL and Python are key tools for this role, practice writing queries and scripts that demonstrate your ability to analyse data and build models. You might even want to prepare a mini-project or example to showcase during the interview, which can set you apart from other candidates.

✨Communicate Clearly

Remember, you'll need to translate complex data insights into actionable recommendations for both technical and non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the impact of your work. This will show that you can bridge the gap between data science and business needs.

Associate Data Scientist
Awaze
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