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- Tasks: Build data pipelines and integrate AI to drive investment decisions.
- Company: Join a cutting-edge venture capital firm in London.
- Benefits: Hybrid work, competitive salary, and opportunities for innovation.
- Why this job: Shape the future of investing with advanced data science and AI.
- Qualifications: 1-2 years in data science, strong Python and SQL skills.
- Other info: Collaborative team environment with a focus on growth and technology.
The predicted salary is between 28800 - 48000 £ 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 organization.
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.
Next steps:
- Visit our website.
- Click 'Talk to Jack'.
- Talk to Jack so he can understand your experience and ambitions.
- Jack will make sure Jill, the AI agent working for the company, considers you for this role.
- If Jill thinks you’re a great fit and her client wants to meet you, they will make the introduction.
- If not, Jack will find you excellent alternatives. All for free.
Data Scientist and Investment Associate at Data-driven venture capital firm in London employer: Jack & Jill
Contact Detail:
Jack & Jill 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
First things first, head over to our website and click 'Talk to Jack'. This is your chance to make a personal connection and showcase your enthusiasm for the role. Remember, it’s all about making that first impression count!
✨Tip Number 2
When you chat with Jack, be ready to share specific examples of your experience in data science and ML engineering. Highlight projects where you've built data pipelines or worked with AI technologies. We want to see your passion and expertise shine through!
✨Tip Number 3
Don’t forget to ask questions during your conversation! Show us that you’re genuinely interested in the firm and the role. Inquire about the team dynamics, current projects, or how they integrate AI into their investment processes. It’ll help you stand out!
✨Tip Number 4
Finally, if Jill thinks you’re a great fit, be prepared for a follow-up! Keep your schedule flexible and stay engaged. If things don’t pan out, trust Jack to find you other fantastic opportunities. We’re here to support you every step of the way!
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 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 how you can contribute to our team.
Tailor Your CV: Make sure your CV is tailored to highlight relevant experience in data science, analytics, or ML engineering. We love seeing how your skills align with what we do, so don’t hold back on showcasing your achievements!
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and focus on what makes you a great fit for the Data Scientist and Investment Associate role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to get your application directly and ensures you’re considered for the role. Just follow the steps and let’s get the conversation started!
How to prepare for a job interview at Jack & Jill
✨Know Your Data Inside Out
Make sure you’re well-versed in the data science concepts relevant to the role. Brush up on your Python and SQL skills, and be ready to discuss how you've built or maintained data pipelines in the past. This will show that you can hit the ground running.
✨Show Your Passion for Venture Capital
Demonstrate your enthusiasm for technology and startups during the interview. Research recent trends in venture capital and be prepared to discuss how data can drive investment decisions. This will help you connect with the team and show that you’re genuinely interested in the field.
✨Prepare for Technical Questions
Expect technical questions related to machine learning and data engineering. Practice explaining your thought process when solving problems, and be ready to walk through any projects you've worked on. This will highlight your analytical skills and problem-solving abilities.
✨Ask Insightful Questions
Prepare thoughtful questions about the firm’s data platform and investment strategies. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals. Engaging in a two-way conversation can leave a lasting impression.
