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- Tasks: Lead data science projects to enhance products using NLP and Generative AI.
- Company: Leading B2B software company based in Edinburgh.
- Benefits: Competitive salary, flexible working options, health plans, and professional development.
- Other info: Join a dynamic team with great career growth potential.
- Why this job: Make a real impact by driving innovation in AI and ML.
- Qualifications: Expertise in NLP, Generative AI, and experience deploying ML models.
The predicted salary is between 50000 - 60000 £ per year.
A leading B2B software company seeks a Data Scientist in Edinburgh to lead data science projects aimed at enhancing their product. The ideal candidate will have expertise in NLP and Generative AI, along with experience deploying ML models.
Responsibilities include:
- Identifying product opportunities
- Engaging with stakeholders
This role offers a competitive compensation package, flexible working options, and numerous benefits, including health plans and professional development opportunities.
Senior Data Scientist, Applied AI & NLP in Edinburgh 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 Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your NLP and Generative AI projects. This is your chance to demonstrate your expertise and make a lasting impression on hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data science interview questions and be ready to discuss how you've deployed ML models in real-world scenarios.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our team. Plus, it shows you're genuinely interested in the role.
We think you need these skills to ace Senior Data Scientist, Applied AI & NLP in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in NLP and Generative AI. 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 data science and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of our goals.
Showcase Your Projects: If you've deployed ML models or worked on exciting data science projects, make sure to mention them! We’re interested in real-world applications, so share any links or details that demonstrate your expertise.
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 this fantastic opportunity. Plus, it’s super easy!
How to prepare for a job interview at Trustpilot
✨Know Your NLP and Generative AI Inside Out
Make sure you brush up on your knowledge of Natural Language Processing and Generative AI. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your expertise and passion for the field.
✨Showcase Your ML Deployment Experience
Prepare to talk about your experience deploying machine learning models. Highlight any tools or frameworks you've used and be ready to explain the impact your models had on previous projects. This will demonstrate your practical skills and ability to deliver results.
✨Engage with Stakeholders
Since this role involves engaging with stakeholders, think of examples where you've successfully collaborated with different teams. Be prepared to discuss how you identified product opportunities and how you communicated complex data insights to non-technical audiences.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s current data science projects or their vision for the future of AI in their products. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.