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For Companies At a Glance
- Tasks: Develop AI-driven features and models for a leading consumer review platform.
- Company: Join a top UK consumer review platform with a vibrant international team.
- Benefits: Enjoy competitive pay, flexible work options, and a dynamic work environment.
- Why this job: Make an impact by deploying scalable AI solutions in a B2B SaaS product.
- Qualifications: Strong background in AI/ML, statistical analysis, Python, and SQL required.
- Other info: Collaborate with software developers and product managers in an innovative setting.
The predicted salary is between 43200 - 72000 £ per year.
A leading consumer review platform in the United Kingdom is seeking a Senior Data Scientist to join the Applied AI team. You will develop AI-driven product features and models, influencing the B2B SaaS product. Collaborating with software developers and product managers, you'll focus on deploying scalable AI solutions.
Ideal candidates will have:
- a solid technical background in AI/ML
- strong statistical analysis skills
- experience in Python and SQL
This role offers a competitive compensation package, flexible work options, and a vibrant international team environment.
Senior Data Scientist, Applied AI & NLP in Scotland employer: Liviu Mesesan
Contact Detail:
Liviu Mesesan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Applied AI & NLP in Scotland
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI-driven projects, models, and any relevant work you've done in Python and SQL. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common data science questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our vibrant team.
We think you need these skills to ace Senior Data Scientist, Applied AI & NLP in Scotland
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical background in AI/ML, Python, and SQL. We want to see how your skills can contribute to our team, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to developing AI-driven product features and models.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and get straight to the point.
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 exciting opportunity!
How to prepare for a job interview at Liviu Mesesan
✨Know Your AI and ML Inside Out
Make sure you brush up on your knowledge of AI and machine learning concepts. Be prepared to discuss specific algorithms, models you've worked with, and how you've applied them in real-world scenarios. This will show that you’re not just familiar with the theory but can also implement it effectively.
✨Showcase Your Statistical Analysis Skills
Be ready to demonstrate your statistical analysis skills during the interview. Prepare examples of how you've used statistics to solve problems or improve processes in previous roles. This could involve discussing data sets you've analysed or insights you've derived that influenced decision-making.
✨Familiarise Yourself with Python and SQL
Since the role requires experience in Python and SQL, make sure you can talk about your proficiency in these languages. Consider preparing a small project or example where you used Python for data manipulation or SQL for querying databases. This practical knowledge will impress your interviewers.
✨Collaborate and Communicate Effectively
As you'll be working closely with software developers and product managers, highlight your collaboration skills. Think of examples where you successfully worked in a team to deploy AI solutions. Emphasising your ability to communicate complex ideas clearly will show that you can bridge the gap between technical and non-technical stakeholders.
