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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 the chance to shape investment strategies.
- Why this job: Join a cutting-edge team and make an impact in the world of technology and investing.
- Qualifications: 1-2 years of experience in data science or machine learning, with Python and SQL skills.
- Other info: Perfect for tech enthusiasts eager to grow in a fast-paced environment.
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 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 data science projects, especially those involving Python and SQL. 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 knowledge and understanding of AI technologies. Practice common data science interview questions and be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our team. It shows initiative and enthusiasm, which we value highly.
We think you need these skills to ace Data Scientist & Investment Associate — AI-Driven VC Sourcing
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data science and venture investing shine through. We want to see how your passion aligns with our mission at StudySmarter, so don’t hold back!
Highlight Relevant Experience: Make sure to showcase your 1–2 years of experience in data science or machine learning. We’re looking for candidates who can demonstrate their proficiency in Python and SQL, so include specific examples of projects or tasks you've tackled.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the skills and experiences that are most relevant to the Data Scientist & Investment Associate role. We love seeing candidates who take this extra step.
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 serious about joining our team!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've built data pipelines or used machine learning techniques. This will show your genuine enthusiasm for technology and your hands-on experience.
✨Understand the VC Landscape
Familiarise yourself with the current trends in venture capital, especially those related to AI and tech investments. Being able to discuss recent deals or emerging technologies will demonstrate your interest in the field and your potential to contribute to the company's investment strategies.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of data science concepts. Practice coding challenges or case studies relevant to data science and machine learning. This will help you feel more confident and showcase your analytical abilities.
✨Show Your Passion for the Role
During the interview, express your enthusiasm for both data science and venture investing. Share why you’re excited about this role specifically and how you see yourself contributing to the team. A positive attitude can make a big difference!
