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- Tasks: Design innovative AI solutions to enhance personalised travel product recommendations.
- Company: Global travel technology company with a focus on user satisfaction.
- Benefits: Flexible remote work options and opportunities for professional growth.
- Why this job: Join a team that shapes the future of travel through cutting-edge AI technology.
- Qualifications: Substantial data science experience and strong programming skills required.
- Other info: Work in a dynamic environment with a focus on innovation.
The predicted salary is between 43200 - 72000 £ per year.
A global travel technology company is seeking a Senior Machine Learning Scientist specializing in recommender systems to enhance personalized travel product recommendations. This role offers the flexibility to work remotely or on-site in the UK, with a focus on designing innovative AI solutions for user satisfaction.
Candidates should have substantial data science experience, programming skills, and a strong grasp of AI methodologies.
Senior Recommender Systems Scientist - Remote in Oxford employer: Viator
Contact Detail:
Viator Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Recommender Systems Scientist - Remote in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the travel tech industry, especially those working with recommender systems. A friendly chat can open doors and give you insights that might just land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI and recommender systems. This is your chance to demonstrate your expertise and creativity, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI methodologies and data science techniques. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Recommender Systems Scientist - Remote in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with recommender systems and AI methodologies. 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 enhancing travel product recommendations and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Programming Skills: Since programming is key for this role, mention specific languages and tools you’re proficient in. We love seeing practical examples of how you’ve used these skills in past projects, especially in the context of AI solutions.
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 gives you a chance to explore more about our company culture!
How to prepare for a job interview at Viator
✨Know Your Recommender Systems
Make sure you brush up on the latest trends and methodologies in recommender systems. Be prepared to discuss your previous projects and how you've applied machine learning techniques to enhance user experiences.
✨Showcase Your Programming Skills
Since programming is key for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures relevant to AI solutions.
✨Understand the Company’s Products
Research the travel technology company and its offerings. Familiarise yourself with their current products and think about how your skills can contribute to improving their recommender systems for personalised travel experiences.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the team, the challenges they face, and how they measure success in their AI initiatives. This shows your genuine interest and helps you assess if it’s the right fit for you.
