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For Companies At a Glance
- Tasks: Build and experiment with LLM-based and NLP solutions for real-world projects.
- Company: Join a high-performing international investment firm at the forefront of data science.
- Benefits: Competitive salary, bonus, and a 4-day work week in London.
- Why this job: Make a real impact using advanced data science and AI in investment decisions.
- Qualifications: 1-3 years in data science with hands-on experience in LLMs or NLP.
- Other info: Collaborative environment with strong visibility and ownership opportunities.
The predicted salary is between 65000 - 70000 £ per year.
Working Pattern: 4 days per week in the London office (Mon–Thurs)
Salary: £65,000–£70,000 base + bonus
Sponsorship: Not available
The Opportunity
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.
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
Data Scientist - Investment/PE employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Investment/PE
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with 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 and NLP. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the business side of data science. Be ready to discuss how your work can impact investment decisions and portfolio value creation.
✨Tip Number 4
Don’t forget to 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 are proactive about their job search!
We think you need these skills to ace Data Scientist - Investment/PE
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on experience with LLMs and NLP, and don’t forget to showcase any projects where you took ownership!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're excited about this role and how your background makes you a perfect fit for our data team. Keep it concise but impactful!
Showcase Your Technical Skills: Since we’re looking for strong Python skills, make sure to mention any relevant projects or experiences where you’ve used Python effectively. If you’ve worked on production-ready code, let us know!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Harnham
✨Know Your Data Science Fundamentals
Make sure you brush up on your data science basics, especially around LLMs and NLP. Be ready to discuss your hands-on experience with these technologies, as well as any projects you've worked on. This will show that you have the solid grounding they're looking for.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous projects and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your ability to take projects end-to-end and think critically.
✨Familiarise Yourself with Their Business
Research the investment firm and understand their approach to using data science in decision-making. Knowing their portfolio and recent projects can help you tailor your responses and show genuine interest in how you can contribute to their goals.
✨Practice Collaborative Scenarios
Since you'll be working closely with both technical and non-technical stakeholders, prepare for questions about teamwork and communication. Think of examples where you've successfully collaborated in a lean team environment, as this is key for the role.
