Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and experiment with LLM-based and NLP solutions for real-world applications.
- Company: Join a high-performing international investment firm at the forefront of data science.
- Benefits: Competitive salary, strong benefits package, and high autonomy in your role.
- Why this job: Work on exciting AI problems and gain valuable experience in a small, dynamic team.
- Qualifications: 1-3 years in data science with hands-on experience in LLMs or NLP.
- Other info: Enjoy excellent learning opportunities and technical ownership in a collaborative environment.
The predicted salary is between 46800 - 53200 £ per year.
We're partnering with a high-performing international investment firm that uses advanced data science and AI to support investment decisions, due diligence, and portfolio value creation. The business works closely with founders and leadership teams of fast-growing, tech-enabled companies and operates at the intersection of data, product, and commercial decision-making.
You’ll join a small, highly technical data team with strong visibility across the business, working on a mix of research, production ML, and short-cycle analytical projects. This role would suit someone early in their career who has excellent academic foundations and has already worked hands-on with LLMs, NLP, or RAG-style systems in a lean team environment.
Role Details
- Working Pattern: 4 days per week in the London office (Mon–Thu)
- Sponsorship: Not available
- Salary: £65,000–£70,000 base + bonus
What You’ll Be Doing
- Building and experimenting with LLM-based and NLP solutions for real-world commercial use cases
- Taking projects end-to-end: research → prototyping → production deployment
- Writing clean, production-ready Python
- Working across multiple projects simultaneously (research, production models, short analytical sprints)
- Collaborating closely with data scientists, engineers, and non-technical stakeholders
What We’re Looking For
Experience
- 1–3 years’ experience in data science, ML, or applied AI
- Hands-on exposure to LLMs, NLP, or language analysis (commercial or project-based)
- Experience working in small teams with real ownership
Technical Skills (Must-Have)
- Strong Python
- Solid grounding in classical data science & ML fundamentals
- End-to-end project delivery experience
- Familiarity with LLMs (RAG, agents, or applied use cases)
- Cloud experience (GCP preferred, AWS/Azure also fine)
Nice to Have
- Transformers / Hugging Face
- Agentic or orchestration frameworks
- BigQuery, Snowflake, or data lake environments
- Full-stack capability (very attractive but not required)
Background
- STEM degree (BSc or MSc strongly preferred)
- Strong academics valued alongside hands-on experience
- No specific industry background required (product, tech, or FS all welcome)
What’s On Offer
- Competitive base salary + bonus
- Strong benefits package (pension, private healthcare, holiday)
- High autonomy and technical ownership
- Exposure to genuinely interesting, non-cookie-cutter AI problems
- Small, high-calibre team with excellent learning opportunities
Apply below!
Data Scientist - Investment/PE - Harnham in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Investment/PE - Harnham in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with data science professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or NLP. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s work. Be ready to discuss your hands-on experience with Python and any relevant projects you've tackled.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist - Investment/PE - Harnham in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with LLMs, NLP, and any hands-on projects you've worked on. We want to see how you've applied your skills in real-world scenarios, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that align with what we’re looking for, especially around data science and ML fundamentals.
Keep It Clean and Professional: When writing your application, ensure it’s clear and free of jargon. Use clean formatting and professional language, as we appreciate a well-structured presentation just as much as the content itself.
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 with our team!
How to prepare for a job interview at Jobster
✨Know Your Stuff
Make sure you brush up on your knowledge of LLMs and NLP. Be ready to discuss specific projects you've worked on, especially those that involved hands-on experience with these technologies. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Python Skills
Since strong Python skills are a must-have for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain your thought process while writing clean, production-ready code. Practise common data science problems and be ready to talk through your solutions.
✨Emphasise Team Collaboration
This role involves working closely with both technical and non-technical stakeholders. Be prepared to share examples of how you've successfully collaborated in small teams. Highlight your ability to communicate complex ideas clearly and how you’ve contributed to team success in past projects.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to data science and AI, as well as the specific challenges they face. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
