At a Glance
- Tasks: Build quantitative models and leverage AI tools for investment insights.
- Company: Leading investment firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, bonuses, medical insurance, and pension plan.
- Other info: Exciting opportunity to work in private equity and grow your career.
- Why this job: Join a dynamic team and shape the future of investment with AI.
- Qualifications: 2-6 years in data science or machine learning, strong Python and SQL skills.
The predicted salary is between 50000 - 70000 £ per year.
A leading investment firm in Greater London is looking for an Associate in Data Science. The role involves building quantitative models, using AI tools to support investment decisions, and collaborating with teams on AI adoption.
Candidates should have:
- 2-6 years of experience in data science or machine learning
- Strong skills in Python and SQL
- A keen interest in private equity
The position offers a competitive salary, bonus, and benefits including medical insurance and pension.
Data Science Associate — Build Insights & Models in London employer: Coller Capital
Contact Detail:
Coller Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Associate — Build Insights & Models in London
✨Tip Number 1
Network like a pro! Reach out to folks in the investment and data science sectors on LinkedIn. A friendly chat can open doors and give you insights into the company culture.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects in Python and SQL. This is your chance to demonstrate your expertise in building models and using AI tools.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you've used data science to drive decisions. Practice common interview questions related to private equity.
✨Tip Number 4
Don’t forget to apply through our website! We make it easy for you to submit your application and get noticed by the right people. Plus, it shows you're serious about joining our team.
We think you need these skills to ace Data Science Associate — Build Insights & Models in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and machine learning. We want to see how your skills in Python and SQL can shine through, so don’t hold back on showcasing relevant projects or achievements!
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 passion for private equity and how you’ve used AI tools in past projects. Let your personality come through – we love a bit of flair!
Showcase Your Projects: If you've worked on any interesting quantitative models or AI applications, make sure to mention them! We’re keen to see how you’ve applied your skills in real-world scenarios, so include links or descriptions of your work.
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’s super easy – just follow the prompts and you’ll be set!
How to prepare for a job interview at Coller Capital
✨Know Your Data Science Fundamentals
Brush up on your data science and machine learning fundamentals. Be prepared to discuss your experience with quantitative models and how you've applied AI tools in past projects. This will show that you have the technical chops for the role.
✨Showcase Your Python and SQL Skills
Since strong skills in Python and SQL are crucial, be ready to demonstrate your proficiency. You might be asked to solve a coding problem or explain how you've used these languages in your previous work. Practise common algorithms and SQL queries beforehand.
✨Understand the Investment Landscape
Familiarise yourself with the private equity sector and current trends in investment. Being able to discuss how data science can influence investment decisions will set you apart. It shows you're not just a techie but also understand the business side of things.
✨Prepare Questions About AI Adoption
Think of insightful questions regarding the firm's approach to AI adoption. This demonstrates your interest in collaboration and innovation. Ask about their current projects or challenges they face in integrating AI into their processes.