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- Tasks: Build data pipelines and integrate AI to drive investment decisions.
- Company: Dynamic venture capital firm focused on data-driven strategies.
- Benefits: Hybrid work model, competitive salary, and opportunities for innovation.
- Why this job: Shape the future of investing with cutting-edge technology and impactful projects.
- Qualifications: 1-2 years in data science or ML, strong Python and SQL skills.
- Other info: Join a well-funded team and grow your career in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
This hybrid role combines data science and venture investing, offering the opportunity to shape the firm’s sourcing strategy and decision-making processes. You’ll build advanced data and ML pipelines to surface high‑fit companies, conduct due diligence, and integrate cutting‑edge AI/LLM technologies across core workflows. A high‑impact role at the intersection of data, product, and investment.
Location: London, UK
Why this role is remarkable:
- Own and expand a proprietary data platform responsible for sourcing ~50% of investments.
- Fully embedded within a well‑funded VC investment team.
- Drive innovation by deploying state‑of‑the‑art AI/LLM solutions into investment workflows.
What you will do:
- Build and maintain data engineering and ML pipelines to identify high‑potential companies.
- Participate end‑to‑end in investment processes, from sourcing and qualification to due diligence.
- Research, prototype, and productionize LLMs, APIs, and new data sources across the organisation.
The ideal candidate:
- 1–2 years of experience in data science, analytics, or ML engineering with production systems.
- Strong proficiency in Python and SQL, with experience in cloud data tooling and APIs.
- Genuine enthusiasm for technology, startups, and the future of venture investing.
How to Apply: To apply for this job, visit our website, click 'Speak with Jack', login with your LinkedIn profile, and talk to Jack for 20 minutes so he can understand your experience and ambitions. If the hiring manager would like to meet you, Jack will make the introduction.
Data Scientist and Investment Associate at Data-driven venture capital firm in London employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist and Investment Associate at Data-driven venture capital firm in London
✨Tip Number 1
Make sure you know your stuff! Brush up on your data science and investment knowledge. The more you can talk about your experience with Python, SQL, and ML pipelines, the better. We want to see your passion for tech and startups shine through!
✨Tip Number 2
Practice makes perfect! Before chatting with Jack, run through some common interview questions related to data science and venture capital. This will help you feel more confident and ready to impress when it’s time to talk.
✨Tip Number 3
Don’t forget to showcase your projects! If you've worked on any cool data engineering or ML projects, be ready to discuss them. We love hearing about real-world applications of your skills, so bring those examples to the table!
✨Tip Number 4
Finally, apply through our website! Speaking with Jack is a game-changer. He’ll not only help you get noticed for this role but also connect you with other amazing opportunities. So, don’t miss out – let’s get you that dream job!
We think you need these skills to ace Data Scientist and Investment Associate at Data-driven venture capital firm in London
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for data science and venture investing shine through. We want to see that you’re genuinely excited about the role and the impact you can make in our team.
Tailor Your CV: Make sure your CV is tailored to highlight your relevant experience in data science and ML engineering. We love seeing how your skills align with what we’re looking for, so don’t be shy about showcasing your achievements!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Remember, less is often more!
Use Our Website: Don’t forget to apply through our website! It’s super easy – just follow the steps to chat with Jack. He’s here to help you navigate the process and ensure your application stands out.
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Data Inside Out
Make sure you’re well-versed in data science concepts, especially those relevant to the role. Brush up on your Python and SQL skills, and be ready to discuss how you've used them in past projects. This will show your technical prowess and genuine enthusiasm for the field.
✨Understand the Venture Capital Landscape
Familiarise yourself with the current trends in venture capital and how data science plays a role in investment decisions. Research the firm’s portfolio and be prepared to discuss how you can contribute to their sourcing strategy and decision-making processes.
✨Prepare for Technical Questions
Expect to face technical questions or even a coding challenge during the interview. Practice common data science problems and be ready to explain your thought process clearly. This will demonstrate your problem-solving skills and ability to work under pressure.
✨Showcase Your Passion for Innovation
Since this role involves deploying cutting-edge AI/LLM solutions, share examples of how you’ve embraced innovation in your previous roles. Discuss any projects where you’ve integrated new technologies and how they impacted the outcomes. This will highlight your forward-thinking mindset.
