Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Deliver innovative AI/ML projects to enhance B2B SaaS products.
- Company: Leading consumer review platform based in Edinburgh.
- Benefits: Competitive compensation, flexible work environment, and rich learning opportunities.
- Why this job: Join a dynamic team and make an impact with cutting-edge AI technologies.
- Qualifications: Experience in data science, AI, and machine learning required.
- Other info: Collaborative culture with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading consumer review platform in Edinburgh is seeking a Senior Data Scientist to join their Applied AI team. This role involves delivering innovative AI/ML projects aimed at improving B2B SaaS products. The successful candidate will engage with cross-functional teams to develop, deploy, and maintain production-ready models while exploring new product opportunities through data. You will work in a flexible environment with various perks, including competitive compensation and rich learning opportunities.
Senior Data Scientist — Applied AI, NLP & Generative Models employer: Trustpilot
Contact Detail:
Trustpilot Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist — Applied AI, NLP & Generative Models
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with AI/ML, especially in NLP and generative models. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your data science concepts and coding skills. Use platforms like StudySmarter to refine your knowledge and tackle common interview questions.
✨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 Data Scientist — Applied AI, NLP & Generative Models
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI, ML, and NLP. 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 excited about the role and how you can contribute to our team. We love seeing passion and creativity in applications.
Showcase Your Problem-Solving Skills: In your application, mention specific examples where you've tackled complex data challenges. We’re looking for someone who can think critically and innovate, so let us know how you’ve done this in the past!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Trustpilot
✨Know Your AI and ML Stuff
Make sure you brush up on the latest trends in AI, machine learning, and natural language processing. Be ready to discuss specific projects you've worked on, especially those that relate to B2B SaaS products. This shows you're not just knowledgeable but also passionate about the field.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated with others in the past. Highlight your communication skills and how you’ve contributed to team success, as this will resonate well with the interviewers.
✨Prepare for Technical Questions
Expect some technical questions or case studies during the interview. Brush up on your coding skills and be ready to solve problems on the spot. Practising common data science problems can help you feel more confident and demonstrate your expertise.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to AI/ML projects, their current challenges, or how they measure success. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
