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- Tasks: Build advanced data and ML pipelines while participating in exciting investment processes.
- Company: A dynamic venture capital firm in London focused on AI-driven solutions.
- Benefits: Hybrid working arrangement, competitive salary, and opportunities for professional growth.
- Why this job: Shape investment strategies using cutting-edge AI technologies and make a real impact.
- Qualifications: 1-2 years of experience in data science or machine learning, with Python and SQL skills.
- Other info: Join a passionate team that values technology and innovation in venture investing.
The predicted salary is between 36000 - 60000 £ per year.
A data-driven venture capital firm in London is seeking a Data Scientist and Investment Associate to build advanced data and ML pipelines, participate in investment processes, and integrate cutting-edge AI technologies.
The role requires 1–2 years of experience in data science or machine learning, with strong proficiency in Python and SQL. Ideal candidates will possess a genuine enthusiasm for technology and venture investing.
This position offers a hybrid working arrangement and the opportunity to shape the company's investment strategies.
Data Scientist & Investment Associate — AI-Driven VC Sourcing 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 & Investment Associate — AI-Driven VC Sourcing in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or attend local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python and SQL. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of AI technologies. We recommend practising common interview questions and even doing mock interviews with friends.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Data Scientist & Investment Associate — AI-Driven VC Sourcing in London
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data science and venture investing shine through. We want to see that you’re not just skilled in Python and SQL, but that you genuinely love what you do!
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your experience with data pipelines and machine learning projects. We’re looking for specific examples that demonstrate your skills and how they relate to our needs.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your journey in data science, any relevant projects, and how you envision contributing to our investment strategies. Keep it engaging!
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning concepts. Be ready to discuss your experience with Python and SQL, and prepare to showcase any projects you've worked on that demonstrate your skills in building data pipelines.
✨Show Your Passion for Tech and Investing
This role is all about enthusiasm for technology and venture investing. Think of examples from your past experiences where you've shown this passion, whether through personal projects, internships, or relevant coursework. Let your excitement shine through!
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice coding challenges or data analysis scenarios that might come up. You could even simulate a mini-interview with a friend to get comfortable explaining your thought process.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s investment strategies, the technologies they use, or how they envision the role evolving. This shows you're genuinely interested and have done your homework.
