AI-Finance Intern

Start date: 01/07/2025

End date: 19/09/2025

Working hours: 7.5 per day / 37.5 per week

Location: The Stanley Building – London

Rate: £15 / hour PAYE

Client: British multinational pharmaceutical and biotechnology company

We see a world where advanced applications of Machine Learning and AI empower us to drive groundbreaking solutions that further our mission of enabling everyone to do more, feel better, and live longer. This ambitious vision will rely on developing cutting-edge products and solutions in Machine Learning and AI. If this excites you, we'd love to chat.

Our team focuses on creating innovative models to enhance the financial systems and processes that support our ability to develop important therapies. By leveraging state-of-the-art machine learning and AI, we improve financial strategies and optimize decision-making across the organization. We are seeking an accomplished Machine Learning Intern to help us accelerate these efforts and bring more ambitious, patient-focused solutions to life. Strong candidates will have experience developing AI/ML-powered solutions and demonstrate expertise in complex mathematical modeling.

In this internship you will

• Build a data pipeline, combining historical data from various sources
• Analyse and extract information from the data using statistical and ML models
• Effectively iterate on model design, training process design, code abstractions, etc. to improve key metrics of the model, service, or library
• Aggressively test code to ensure the specification is met
• Proactively communicate problems, delays, and changes to project lead or senior engineers and ask for help
• Engage with code review and view it as a learning tool to improve engineering practice
• Commit code early and often, and seek feedback along the way when needed
• Frequently demo work and/or lessons learned for their team or for the organization

Why you?

Qualifications & Skills:

We are looking for students with these required skills to achieve our goals:

• Undergraduate degree in maths, computer science, physics or related field.
• Currently completing or plan to complete graduate studies (masters or phd) in the next academic year.
• Programming experience developing and delivering software solutions in Python.
• Understanding and applying best practices in Machine Learning and/or statistical modelling.
• Proven ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices.
• Ability to work both autonomously and collaboratively on complex projects.

Preferred Qualifications & Skills:

If you have the following characteristics, it would be an advantage:

• Understanding of modern ML Architectures, Platforms, and backend systems, including PyTorch or TensorFlow.
• Mentality to commit early and often, metrics before models, and shipping high quality production code, including testing.
• Experience in deploying AI/ML solutions with cloud computing Platforms, such as Google Cloud Platform or Azure, and engineering AI/ML pipelines to optimise cloud resources (GPUs, CPUs).