AI-Driven Data Science Intern – Long/Short Equities

AI-Driven Data Science Intern – Long/Short Equities

Full-Time 20000 - 30000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Validate AI-generated research, analyse data, and support investment decisions.
  • Company: NDA, a leading firm in Greater London with a focus on innovation.
  • Benefits: Gain hands-on experience, enhance skills, and network with industry professionals.
  • Other info: 6-month internship with excellent growth opportunities in a dynamic environment.
  • Why this job: Dive into the world of finance and AI while making a real impact.
  • Qualifications: Master’s in Data Science, strong Python skills, and a passion for finance.

The predicted salary is between 20000 - 30000 £ per year.

NDA in Greater London seeks a motivated intern for a 6-month Long/Short Equities Data Science Analyst internship.

Ideal candidates have a Master’s in Data Science, strong Python skills, and a passion for financial markets.

This hands-on role involves validating AI-generated research outputs, data analysis, and supporting investment decision-making processes.

Successful candidates will gain exposure to the investment team and enhance their technical and analytical skills.

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AI-Driven Data Science Intern – Long/Short Equities employer: NDA

NDA in Greater London is an exceptional employer, offering a dynamic work environment where innovation meets finance. Interns will benefit from hands-on experience with cutting-edge AI technologies while collaborating closely with seasoned investment professionals, fostering both personal and professional growth. The company promotes a culture of continuous learning and provides ample opportunities for skill enhancement, making it an ideal place for aspiring data scientists passionate about the financial markets.

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Contact Details:

NDA Recruitment Team

We think you need these skills to ace AI-Driven Data Science Intern – Long/Short Equities

Python
Communication Skills
SQL
Problem-Solving Skills
Automation
Data Engineering
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