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- Tasks: Manage projects from research to deployment, solving real-world AI challenges.
- Company: International investment firm in London with a highly technical team.
- Benefits: Competitive salary, bonus, and strong benefits package.
- Why this job: Join a dynamic team and make an impact in the investment tech space.
- Qualifications: 1-3 years of experience with LLMs and solid Python skills.
The predicted salary is between 65000 - 70000 £ per year.
An international investment firm in London is seeking a Data Scientist to join their highly technical team. The ideal candidate will have 1-3 years of hands-on experience with LLMs, solid Python skills, and a strong background in data science or machine learning.
This role offers a competitive salary between £65,000 and £70,000, alongside a bonus and a strong benefits package.
You will manage projects from research through to deployment, collaborating with cross-functional teams to tackle real-world AI problems.
Data Scientist: LLM/NLP for Investment Tech (London, 4d) employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: LLM/NLP for Investment Tech (London, 4d)
✨Tip Number 1
Network like a pro! Reach out to folks in the investment tech space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your LLM and NLP projects. This is your chance to demonstrate your Python prowess and data science know-how in a way that really stands out.
✨Tip Number 3
Prepare for those interviews! Brush up on common data science questions and be ready to discuss your past projects. We want you to shine when it comes to tackling real-world AI problems.
✨Tip Number 4
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 take that extra step!
We think you need these skills to ace Data Scientist: LLM/NLP for Investment Tech (London, 4d)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLMs and Python. 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 concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any interesting data science or machine learning projects, make sure to mention them. We’re keen to see how you’ve tackled real-world problems, especially in AI!
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. Don’t miss out!
How to prepare for a job interview at Jobster
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs) and natural language processing (NLP). Be prepared to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your hands-on experience and technical expertise.
✨Show Off Your Python Skills
Since solid Python skills are a must for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practising common data science libraries like Pandas and NumPy can give you an edge.
✨Understand the Investment Tech Landscape
Familiarise yourself with the investment tech industry and current trends. Knowing how AI is being applied in finance can help you connect your skills to the company's goals. It shows that you're not just a techie but also understand the business side of things.
✨Prepare for Collaborative Questions
As you'll be working with cross-functional teams, expect questions about teamwork and collaboration. Think of examples where you've successfully worked with others to tackle complex problems. Highlight your communication skills and how you adapt to different team dynamics.
