At a Glance
- Tasks: Enhance a GenAI-powered digital assistant through NLP and data visualisation.
- Company: Leading financial services tech firm with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and work on cutting-edge AI projects that make a difference.
- Qualifications: Strong skills in Python, SQL, and experience in NLP and cloud computing.
- Other info: Collaborative environment with 1-2 days on-site in Greater London.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial services tech firm is seeking a Data Scientist to enhance their GenAI-Powered smart digital assistant. The role involves collaboration with cross-functional teams and expertise in NLP, data visualisation, and cloud computing.
Candidates should have a strong grasp of Python and SQL for data manipulation. This hybrid position requires 1-2 days a week on-site in Greater London, offering an exciting opportunity to work on innovative AI projects.
GenAI-NLP Data Scientist | Hybrid | Viz & Cloud ML employer: Notjustlabcoats
Contact Detail:
Notjustlabcoats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI-NLP Data Scientist | Hybrid | Viz & Cloud ML
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in financial services tech. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your NLP projects and data visualisation work. This is your chance to demonstrate your Python and SQL prowess in a way that stands out.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. We recommend practising with friends or using mock interview platforms to get comfortable with the format.
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace GenAI-NLP Data Scientist | Hybrid | Viz & Cloud ML
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in NLP, Python, and SQL in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your experience!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your background fits with our GenAI-Powered projects and the exciting work we do at StudySmarter.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences shine through without unnecessary fluff.
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 in our hybrid team!
How to prepare for a job interview at Notjustlabcoats
✨Know Your NLP Stuff
Make sure you brush up on your natural language processing knowledge. Be ready to discuss your experience with NLP techniques and how you've applied them in past projects. This will show that you’re not just familiar with the concepts but can also implement them effectively.
✨Showcase Your Python and SQL Skills
Since the role requires strong Python and SQL skills, prepare to demonstrate your proficiency. You might be asked to solve a problem or analyse data on the spot, so practice coding challenges and be ready to explain your thought process clearly.
✨Collaboration is Key
This position involves working with cross-functional teams, so be prepared to discuss your teamwork experiences. Share examples of how you've successfully collaborated with others, especially in tech environments, to highlight your ability to work well in a hybrid setting.
✨Get Familiar with Cloud Computing
As cloud computing is part of the job, make sure you understand the basics and any relevant tools or platforms. If you have experience with specific cloud services, mention them during the interview to show you’re ready to hit the ground running.