AI / Data Scientist Intern
London, London, United Kingdom
InvestCloud
InvestCloud powers digital transformation in financial services. Scale your business with digital wealth management and APL network access today.Salary: Competitive
Job Type and duration of internship: The 2025 Internship will run from 1st July 2025 for 6 to 8 weeks (to be confirmed in the interview process). Please note that the start and end dates are not flexible.
Location: London, UK (Minimum of 3 days per week in the office)
About the Role:
In this internship you will have the opportunity of working together with data scientists who are implementing cutting-edge technology to create a next-generation advisor and client experience.
You will benefit from career guidance and mentorship from our Head of AI, Data Science, and Analytics, alongside valuable support and insights from other experienced colleagues.
Meaningful Impact: You will have the opportunity to work on real, high-priority business challenges, contributing directly to both company objectives and internal initiatives. This hands-on experience will not only allow you to make a genuine impact on the organisation’s success but also provide you with invaluable skills and insights to accelerate your career growth and open doors to future opportunities.
What does a great AI / Data Scientist Intern do?
We are looking for two AI Data Scientist Interns with a background in Data Science, Machine Learning, and Generative AI. The ideal candidates will have strong problem-solving skills and be able to work independently in a fast-paced environment. In this role, working as part of the team, you will work together on a project that might be implemented in one of the AI and ML solutions of the InvestCloud product suite.
How you will provide meaningful contributions:
- Work on Data Science, Machine Learning, and/ or Generative AI. The project will be tailored to the right candidates’ skills and interests, ranging from client-facing goals to AI-driven coding or automating internal processes.
- Present your work and findings to the team, encouraging knowledge-sharing
- Share latest innovative ideas, methods, and tools, and show how they can be applied practically
- Deliver a tangible outcome, such as a working PoC, MVP etc.
Basic Qualifications and Skills for Consideration:
- Currently enrolled in the following University courses or a recent graduate of; BSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field
- Good knowledge of Python
- Good knowledge of relational databases
- Knowledge of data preprocessing, feature engineering, and model evaluation metrics
- Interest in learning technologies in the Machine Learning, Generative AI and Language Model field
- Knowledge of Git
Headquartered in Los Angeles with a global presence, InvestCloud develops first-class, digital financial solutions, pre-integrated into the cloud. By empowering investors and managers with a single version of the integrated truth through its unique digital platform, InvestCloud creates beautifully designed client experiences and intuitive operations solutions using an ever-expanding library of digital modular apps. The result? Powerful products for individual investors and institutions alike, assembled on-demand to meet clients’ specific needs. Joining our intern program provides a unique opportunity to immerse yourself in a cutting-edge tech environment, working alongside seasoned professionals on impactful projects that leverage the latest in technology. Our interns are key contributors to our mission, engaging in hands-on, meaningful work while gaining invaluable experience and mentorship.
InvestCloud is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
Tags: Computer Science Engineering Feature engineering Generative AI Git Machine Learning Mathematics MVP Python RDBMS Statistics
Perks/benefits: Career development Competitive pay Flex hours Startup environment
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