Data Science Associate — Build Insights & Models
Data Science Associate — Build Insights & Models

Data Science Associate — Build Insights & Models

Full-Time 50000 - 70000 £ / year (est.) No home office possible
Coller Capital

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.
  • 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.
  • Other info: Exciting opportunities for growth in a fast-paced environment.

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 employer: Coller Capital

As a leading investment firm in Greater London, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from competitive salaries, comprehensive medical insurance, and a robust pension plan, alongside ample opportunities for professional growth in the rapidly evolving field of data science. Join us to be part of a forward-thinking team that values your contributions and supports your career aspirations.
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

Tip Number 1

Network like a pro! Reach out to people in the investment and data science sectors. Use LinkedIn to connect with current employees at the firm you're eyeing. A friendly chat can sometimes lead to insider info or even a referral!

Tip Number 2

Show off your skills! Create a portfolio showcasing your best projects in Python and SQL. Whether it's a cool model you built or an AI tool you developed, having tangible examples will make you stand out during interviews.

Tip Number 3

Prepare for those tricky questions! Brush up on your knowledge of quantitative models and AI applications in investment. Practising common interview questions can help you articulate your thoughts clearly and confidently.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Data Science Associate — Build Insights & Models

Data Science
Machine Learning
Python
SQL
Quantitative Modelling
AI Tools
Collaboration
Private Equity
Analytical Skills
Problem-Solving Skills

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!

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!

Showcase Your Projects: If you've worked on any quantitative models or AI applications, make sure to include them in your application. We love seeing real examples of your work that demonstrate your skills and creativity.

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 don’t miss out on any important updates from our team!

How to prepare for a job interview at Coller Capital

Know Your Data Science Fundamentals

Make sure you brush up on your data science and machine learning fundamentals. Be prepared to discuss your experience with quantitative models, AI tools, and how you've applied them in real-world scenarios. 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 for this position, be ready to demonstrate your proficiency. You might be asked to solve a coding problem or explain how you've used these languages in past projects. 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 for Them

Interviews are a two-way street! Prepare insightful questions about their AI adoption strategies and team dynamics. This not only demonstrates your interest in the role but also helps you gauge if the company is the right fit for you.

Data Science Associate — Build Insights & Models
Coller Capital

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