Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build data pipelines and support exciting investment initiatives in venture capital.
- Company: Dynamic venture capital firm based in London with a collaborative culture.
- Benefits: Competitive compensation, health and wellbeing budget, and flexible work options.
- Why this job: Combine your passion for data science with the thrill of venture capital investments.
- Qualifications: Strong background in data science and a keen interest in venture capital.
- Other info: Join a vibrant team with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A dynamic venture capital firm in London is seeking a Data Scientist and Investment Associate to leverage their data platform and support investment initiatives. This role offers a mix of building data pipelines and engaging in investment activities, ideal for candidates with a strong background in data science and interest in venture capital.
The firm offers competitive compensation, including a health and wellbeing budget, and promotes a collaborative work environment.
Data Scientist & Investment Associate (VC) employer: Eka Ventures
Contact Detail:
Eka Ventures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist & Investment Associate (VC)
✨Tip Number 1
Network like a pro! Reach out to people in the venture capital space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects and analyses. This is your chance to demonstrate how you can leverage data for investment decisions.
✨Tip Number 3
Prepare for those interviews! Brush up on both technical questions related to data science and investment strategies. We want to see you shine in both areas!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Scientist & Investment Associate (VC)
Some tips for your application 🫡
Show Your Passion for Data and VC: When writing your application, let us see your enthusiasm for both data science and venture capital. Share any relevant projects or experiences that highlight your skills and interest in the field.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your experience with data pipelines and investment activities, and explain how they align with what we’re looking for at StudySmarter.
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where necessary to make it easy for us to see your key achievements and skills.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Eka Ventures
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals. Be ready to discuss your experience with building data pipelines and any relevant tools or languages you've used. The firm will want to see how you can leverage data for investment decisions, so be prepared to showcase your analytical skills.
✨Understand Venture Capital Basics
Familiarise yourself with the venture capital landscape. Know the key players, current trends, and what makes a successful investment. This will show that you're not just a data whiz but also have a genuine interest in the VC world, which is crucial for this role.
✨Prepare Questions About the Firm
Have a few thoughtful questions ready about the firm's investment strategy and culture. This demonstrates your enthusiasm for the role and helps you gauge if the firm is the right fit for you. Plus, it shows that you've done your homework!
✨Showcase Collaboration Skills
Since the firm promotes a collaborative work environment, be ready to share examples of how you've worked effectively in teams. Highlight any experiences where you’ve combined data insights with business strategies, as this will resonate well with their team-oriented approach.