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For Companies At a Glance
- Tasks: Develop and deploy AI/ML models while collaborating with cross-functional teams.
- Company: Leading consumer review platform in Greater London with a vibrant culture.
- Benefits: Competitive package, flexible working options, and a focus on innovation.
- Why this job: Join a dynamic team and make a real impact in the AI and NLP space.
- Qualifications: Proven experience in NLP, generative AI, Python, and SQL.
- Other info: Emphasises trust and innovation in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading consumer review platform in Greater London is seeking a Senior Data Scientist to join their Applied AI team. This role involves developing and deploying AI/ML models, working with cross-functional teams, and delivering impactful data science projects.
Candidates should have proven experience with NLP and generative AI, strong analytical skills, and capability in Python and SQL.
The company offers a competitive package, flexible working options, and a vibrant culture emphasizing innovation and trust.
Senior Data Scientist, Applied AI & NLP in London employer: Trustpilot
Contact Detail:
Trustpilot Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Applied AI & NLP in London
✨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 showcasing your best AI/ML projects, especially those involving NLP and generative AI. This will help us see your practical experience and creativity in action.
✨Tip Number 3
Ace the interview by practising common data science questions and scenarios. We want to see how you think, so be ready to explain your thought process and problem-solving approach clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our vibrant culture of innovation and trust.
We think you need these skills to ace Senior Data Scientist, Applied AI & NLP in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with NLP and generative AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and data science. We love seeing candidates who can connect their personal interests with our mission at StudySmarter.
Showcase Your Technical Skills: Since this role requires strong Python and SQL skills, make sure to mention specific tools or libraries you’ve used. We appreciate candidates who can demonstrate their technical prowess through real-world examples.
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 shows you’re keen on joining our vibrant culture!
How to prepare for a job interview at Trustpilot
✨Know Your AI & NLP Stuff
Make sure you brush up on your knowledge of AI, machine learning, and natural language processing. Be ready to discuss specific projects you've worked on, the models you've developed, and how you've applied them in real-world scenarios.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your coding skills in Python and SQL during the interview. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be ready to explain your thought process as you go.
✨Collaboration is Key
Since this role involves working with cross-functional teams, be prepared to talk about your experience collaborating with others. Share examples of how you've successfully communicated complex data science concepts to non-technical stakeholders.
✨Emphasise Innovation and Impact
The company values innovation, so think about how you've contributed to impactful projects in the past. Be ready to discuss how your work has driven results and how you can bring that innovative mindset to their team.
