Senior ML Scientist, Personalization — Real-Time Recs in London

Senior ML Scientist, Personalization — Real-Time Recs in London

London Full-Time 80000 - 120000 £ / year (est.) No working from home possible
Expedia, Inc.

At a Glance

  • Tasks: Design and develop AI-driven models for personalised experiences.
  • Company: Expedia, Inc., a leader in travel technology.
  • Benefits: Comprehensive benefits package and a focus on diversity and inclusion.
  • Other info: Based in Greater London with opportunities for professional growth.
  • Why this job: Join a dynamic team to shape the future of personalised travel experiences.
  • Qualifications: 8+ years of experience in machine learning and a Bachelor's degree in Computer Science.

The predicted salary is between 80000 - 120000 £ per year.

Expedia, Inc. is looking for a Machine Learning Specialist to design and develop AI-driven models for personalized experiences. With a strong focus on data analysis and cross-functional collaboration, candidates should possess at least 8 years of relevant experience and a Bachelor's degree in Computer Science or a related field.

The role is based in Greater London and includes a comprehensive benefits package, aiming to create a diverse and inclusive work environment.

Senior ML Scientist, Personalization — Real-Time Recs in London employer: Expedia, Inc.

Expedia, Inc. is an excellent employer for Senior ML Scientists, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. With a comprehensive benefits package and a commitment to diversity and inclusion, employees are encouraged to grow their skills and advance their careers while contributing to cutting-edge AI-driven projects that enhance personalized experiences for users.

Expedia, Inc.

Contact Details:

Expedia, Inc. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior ML Scientist, Personalization — Real-Time Recs in London

Tip Number 1

Network like a pro! Reach out to current or former employees at Expedia through LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.

Tip Number 2

Show off your skills! Prepare a portfolio showcasing your best machine learning projects. Highlight how you've used data analysis to drive results, as this will resonate with what they're looking for.

Tip Number 3

Practice makes perfect! Get ready for those technical interviews by brushing up on your ML algorithms and coding skills. We recommend doing mock interviews with friends or using online platforms.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team at Expedia.

We think you need these skills to ace Senior ML Scientist, Personalization — Real-Time Recs in London

Machine Learning
AI-driven Model Development
Data Analysis
Cross-Functional Collaboration
Computer Science
Personalisation Techniques
Statistical Analysis

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in machine learning and data analysis. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about personalisation in AI and how your background makes you a perfect fit for our team. Keep it engaging and to the point!

Showcase Collaboration Skills:Since this role involves cross-functional collaboration, mention any experiences where you’ve worked with diverse teams. We love seeing how you can bring people together to achieve common goals!

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’s super easy!

How to prepare for a job interview at Expedia, Inc.

Know Your ML Models

Make sure you brush up on the latest machine learning models and techniques, especially those related to personalisation. Be ready to discuss how you've applied these in your previous roles, as this will show your depth of knowledge and practical experience.

Data Analysis Skills Are Key

Since the role focuses heavily on data analysis, prepare to showcase your analytical skills. Bring examples of how you've used data to drive decisions or improve models in past projects. This will demonstrate your ability to contribute effectively from day one.

Collaboration is Crucial

This position requires cross-functional collaboration, so be prepared to talk about your experience working with different teams. Highlight specific instances where your collaboration led to successful outcomes, as this will illustrate your teamwork skills and adaptability.

Diversity and Inclusion Matters

Expedia values a diverse and inclusive work environment, so think about how you can contribute to this culture. Be ready to discuss your views on diversity in tech and any initiatives you've been part of that promote inclusivity in the workplace.