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- Tasks: Develop AI tools to enhance efficiency and solve business challenges.
- Company: Join a dynamic hedge fund in the UK focused on innovation.
- Benefits: Enjoy a competitive salary, bonuses, and a collaborative office environment.
- Why this job: Make a real impact using cutting-edge technology in a fast-paced setting.
- Qualifications: 5+ years in Python, NLP, and machine learning required.
- Other info: This role is based in London with 3 days in the office.
The predicted salary is between 57000 - 95000 £ per year.
Salary: Up to £95k + bonus
Location: London (3x in office)
I am exclusively partnering with a growing hedge fund in the UK to support their search for a Data Scientist. This is a high-impact role where you'll apply cutting-edge NLP, LLMs, and generative AI to real-world business challenges. From automating internal workflows to building AI-first tools that uncover new insights, your work will directly influence how the organisation operates and grows.
Responsibilities:
- Build and deploy AI-driven tools that improve internal efficiency and drive business impact
- Enhance and automate processes using NLP, LLMs, and generative AI
- Partner with teams across the business to identify and deliver high-value AI use cases
- Evaluate and experiment with emerging open-source models and tools (e.g., LLaMA, Mistral, DeepSeek)
- Design and maintain RAG pipelines and retrieval systems using unstructured data (e.g., PDFs, images, emails)
- Develop proof-of-concept projects with the Head of Data Science and scale successful solutions into production
Qualifications / Experience:
- 5+ years of experience with Python for data science and machine learning
- Strong background in NLP, machine learning, and hands-on work with open-source LLMs
- Experience building RAG pipelines and working with vector databases and embeddings
If you are interested, please reach out for a private conversation. Unfortunately, this role does not offer sponsorship!
Contact Detail:
Source Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest advancements in NLP and generative AI. Being able to discuss recent developments or tools like LLaMA and Mistral during your conversations can really set you apart from other candidates.
✨Tip Number 2
Network with professionals in the hedge fund industry, especially those working in data science roles. Attend relevant meetups or webinars to gain insights and potentially get referrals that could help you land the job.
✨Tip Number 3
Prepare to showcase your experience with RAG pipelines and vector databases. Be ready to discuss specific projects where you've implemented these technologies, as practical examples will demonstrate your expertise effectively.
✨Tip Number 4
Engage with the company's online presence. Follow them on LinkedIn, comment on their posts, and share relevant content. This shows your genuine interest in the company and can help you stand out when they review applications.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, NLP, and machine learning. Include specific projects where you've built AI-driven tools or worked with open-source LLMs to demonstrate your relevant skills.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, particularly in automating processes and developing proof-of-concept projects.
Showcase Relevant Projects: If you have any projects that involved building RAG pipelines or working with vector databases, be sure to include them in your application. This will help illustrate your hands-on experience and technical capabilities.
Highlight Collaboration Skills: Since the role involves partnering with various teams, mention any past experiences where you collaborated on AI use cases or cross-functional projects. This will show your ability to work effectively within a team.
How to prepare for a job interview at Source Technology
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, NLP, and machine learning in detail. Bring examples of projects you've worked on, especially those involving open-source LLMs and RAG pipelines, to demonstrate your hands-on expertise.
✨Understand the Business Impact
Research the hedge fund's operations and think about how AI can enhance their processes. Be ready to discuss specific use cases where you believe your skills could drive significant business impact.
✨Prepare for Problem-Solving Questions
Expect to tackle real-world problems during the interview. Practice explaining your thought process clearly and logically, as this will showcase your analytical skills and ability to apply your knowledge to practical challenges.
✨Engage with the Interviewers
Don't hesitate to ask questions about the team dynamics and the projects you'll be working on. This shows your interest in collaboration and helps you gauge if the company culture aligns with your values.
