Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop AI business applications and analyse data to tackle challenges in investment banking.
- Company: Leading global wealth manager based in London with a focus on innovation.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact with cutting-edge AI/NLP solutions.
- Qualifications: Master’s degree and experience in AI/NLP; Python programming skills required.
- Other info: Collaborative environment with exciting projects and career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading global wealth manager in London is seeking a skilled Data Scientist to develop AI business applications. You will collaborate with teams to create advanced models and analyse data to solve challenges within the Investment Bank.
A Master’s degree and experience in AI/NLP solutions is required. Knowledge of programming languages like Python is essential, along with strong collaboration skills. Flexible working options available.
Data Scientist, AI/NLP for Enterprise Solutions in City of London employer: UBS
Contact Detail:
UBS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, AI/NLP for Enterprise Solutions in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI/NLP field on LinkedIn or at industry events. Building connections can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI business applications and data analysis projects. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and collaboration skills. Be ready to discuss your experience with Python and how you've tackled challenges in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Scientist, AI/NLP for Enterprise Solutions in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and NLP solutions. 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. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since programming in Python is essential for this role, make sure to mention any relevant projects or experiences where you've used it. We’re keen to see your technical prowess, so don’t hold back!
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’s super easy!
How to prepare for a job interview at UBS
✨Know Your AI/NLP Stuff
Make sure you brush up on your AI and NLP knowledge before the interview. Be ready to discuss specific projects you've worked on, the models you've developed, and how they’ve impacted business outcomes. This will show that you’re not just familiar with the concepts but can apply them effectively.
✨Show Off Your Python Skills
Since programming in Python is essential for this role, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practising common data manipulation tasks and algorithms in Python can give you an edge.
✨Collaboration is Key
This role involves working closely with various teams, so highlight your collaboration skills. Share examples of how you’ve successfully worked in a team setting, resolved conflicts, or contributed to group projects. This will show that you can thrive in a collaborative environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s AI initiatives or the specific challenges they face in the Investment Bank. This not only shows your interest in the role but also gives you a chance to assess if the company is the right fit for you.
