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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 work environment.
- Why this job: Make a real impact using cutting-edge technology in a growing company.
- Qualifications: 5+ years in Python, NLP, and machine learning required.
- Other info: This role is office-based three times a week; no sponsorship available.
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!
Data Scientist employer: Source Technology
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 well-versed in tools like LLaMA and Mistral will not only boost your confidence but also demonstrate your commitment to staying ahead in the field.
✨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 an interview.
✨Tip Number 3
Prepare to discuss real-world applications of your work with AI and data science. Think of specific examples where you've successfully implemented NLP or machine learning solutions that had a measurable impact on business processes.
✨Tip Number 4
Showcase your ability to collaborate across teams by highlighting past experiences where you partnered with different departments. This will illustrate your versatility and readiness to tackle high-value AI use cases as mentioned in the job description.
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 or roles where you've built AI-driven tools or worked with open-source LLMs.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with their needs, particularly in automating workflows and developing AI-first tools.
Showcase Relevant Projects: If you have any proof-of-concept projects or relevant work samples, include them in your application. This could be links to GitHub repositories or detailed descriptions of past projects that demonstrate your expertise.
Highlight Collaboration Skills: Since the role involves partnering with various teams, emphasise your ability to work collaboratively. Provide examples of how you've successfully partnered with others to deliver high-value AI use cases.
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 and understand how data science can drive business decisions. Be ready to discuss how your work can improve internal efficiency and contribute to the organisation's growth.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think about how you would approach automating workflows or building AI tools, and be ready to explain your thought process clearly.
✨Engage with the Interviewers
During the interview, ask insightful questions about the team dynamics and ongoing projects. This shows your interest in collaboration and helps you gauge how you can fit into their culture.
