Senior ML Scientist, Personalization & Recommendations in London

Senior ML Scientist, Personalization & Recommendations in London

London Bachelor 60000 - 84000 £ / year (est.) No working from home possible
Expedia Group

At a Glance

  • Tasks: Enhance personalization solutions using machine learning models and collaborate with diverse teams.
  • Company: Expedia Group, a leader in travel technology, based in Greater London.
  • Benefits: Generous benefits, travel perks, and a focus on diversity and inclusion.
  • Other info: Join a dynamic team with a commitment to inclusivity and professional growth.
  • Why this job: Make a real impact on customer experience through innovative machine learning solutions.
  • Qualifications: Bachelor's degree and 5+ years of experience in machine learning required.

The predicted salary is between 60000 - 84000 £ per year.

Expedia Group in Greater London is looking for a Machine Learning Engineer to enhance personalization solutions across their platforms. You will develop and advance machine learning models while collaborating with cross-functional teams to improve customer experience.

The role requires a Bachelor's degree in a relevant field and over 5 years of experience in machine learning. A diverse and inclusive work environment is emphasized, offering generous benefits and travel perks.

Senior ML Scientist, Personalization & Recommendations in London employer: Expedia Group

Expedia Group is an exceptional employer, offering a vibrant and inclusive work culture in Greater London that fosters innovation and collaboration. Employees benefit from generous perks, including travel opportunities, and are encouraged to grow through continuous learning and development in the rapidly evolving field of machine learning. Join us to make a meaningful impact on customer experiences while working alongside talented professionals in a supportive environment.

Expedia Group

Contact Details:

Expedia Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior ML Scientist, Personalization & Recommendations in London

Get Involved in Data Science Communities

Join online platforms like Kaggle, GitHub, or local meetups focused on data science. Contributing to open-source projects or competing in data challenges can really boost your visibility and showcase your skills to potential employers like Expedia Group.

Utilise University Career Services

Tap into your university’s career services for internships or early-talent programmes specifically tailored for data science students. They often have connections with companies like Expedia Group who are on the lookout for fresh talent, so don’t miss out on those opportunities!

Show Off Your Projects

Create a portfolio that highlights your data analysis projects, especially any real-world applications. Sharing your projects on platforms like GitHub or even a personal website allows recruiters at places like Expedia Group to see what you can achieve beyond your degree.

Be Active on LinkedIn

Don’t just use LinkedIn to connect; share your insights on data trends or engage with posts from industry leaders. This can really help you stand out when applying for roles at companies like Expedia Group.

We think you need these skills to ace Senior ML Scientist, Personalization & Recommendations in London

Machine Learning
Model Development
Personalization Solutions
Cross-Functional Collaboration
Customer Experience Improvement
Bachelor's Degree in a Relevant Field
5+ Years of Experience in Machine Learning

Some tips for your application 🫡

Show Off Your Technical Skills!:When applying for a data science internship like the one at Expedia Group, make sure your CV highlights relevant technical skills such as programming languages (like Python or R), data visualisation tools, and statistical analysis. Include projects or coursework that illustrate your hands-on experience with these skills—this grabs our attention!

Include Your Side Projects:Data science is all about practical application, so don’t be shy about showcasing any side projects or personal initiatives—like a cool data analysis you did or a Kaggle competition you joined. This is the perfect way to demonstrate your passion for the field and your ability to apply what you’ve learnt.

Craft an Engaging Cover Letter:This isn’t just another application; it’s your chance to tell us why you’re all about data science! In your cover letter, reflect on why this internship excites you and how it fits into your learning journey. Let us see your enthusiasm and potential for growth in this field—it's a huge plus!

Keep It Clean and Professional:While we love creativity, keeping your CV and cover letter clear and professional is super important. Make sure they're easy to read with a nice layout. Use bullet points to highlight key achievements—this makes it easier for us to find the juicy bits quickly. And seriously, don’t forget to apply through our website!

How to prepare for a job interview at Expedia Group

Master the Tech Stack

As we're diving into data science for an internship level, brush up on the key tools and languages like Python, R, and SQL. You might be asked to demonstrate your knowledge through practical coding exercises, so ensure you can confidently run through basic algorithms or data manipulation tasks during your interview.

Portfolio Power

Make sure your portfolio shines! Bring examples of projects you've worked on, showcasing your data analysis and visualisation skills. Especially for an internship, having real-world applications of your coursework or personal projects can really set you apart and spark great conversations.

Explain Your Thought Process

Data science isn't just about crunching numbers; it's about communicating insights too. Prepare to explain your methodologies clearly. For instance, if asked about a project, outline how you approached the problem, what data you collected, and what insights you derived. This shows your analytical thinking and problem-solving skills.

Show Your Curiosity

For a bachelor's level position, the interviewers will be keen to see your enthusiasm and willingness to learn. Think of ways to discuss how you stay updated with the latest trends in data science or any online courses you've taken. This reflects not just your technical skills, but your passion for the field, which is crucial for an internship position.