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About the Role
The Faculty Fellowship is an intensive, eight-week programme that bridges academia and real-world impact, embedding participants directly into high-stakes commercial environments. Fellows will apply advanced machine learning techniques to solve complex, ambiguous problems for clients, turning theoretical knowledge into high-value deployable solutions. It serves as a fast-paced launchpad designed to accelerate technical growth, build commercial acumen, and empower individuals to shape the future of artificial intelligence.
Responsibilities
- Apply advanced machine learning techniques to solve complex, ambiguous problems for clients.
- Turn theoretical knowledge into high-value deployable solutions.
- Tackle a commercial data science project with a host company.
- Present your work at Demo Day to 100+ guests and industry leaders.
Requirements
- Hold a finished PhD or Master’s degree in a STEM subject.
- Possess a strong foundation in data science or machine learning.
- Have a high level of mathematical competence.
- Demonstrate solid experience with theoretical concepts like hypothesis testing, Bayesian inference, and neural networks.
- Possess strong programming skills, particularly in Python.
- Be comfortable navigating core data science coding libraries.
- Bring an entrepreneurial mindset, showing resilience and autonomy to structure project plans and meet deadlines.
- Be able to communicate complex technical ideas clearly to both technical and non-technical audiences.
- Thrive in fast-paced, ambitious environments, showing curiosity and a drive to learn and deploy new technologies.
- Hold full-time UK right to work (visa sponsorship is not offered).
Skills
- Data Science
- Machine Learning
- Python Programming
- Hypothesis Testing
- Bayesian Inference
- Neural Networks
- Commercial Acumen
- Communication
Location
- London
Work Type
- Full-time
- In-person
Experience Level
- PhD or Master's degree in a STEM subject
Education Level
- PhD
- Master's Degree
Salary/Compensations
- London Living Wage
Benefits
- Two weeks of intensive training.
- Six-week paid placement.
- Demo Day Finale.
- Expert-led training.
- Weekly Friday masterclasses.
- Dedicated mentorship from experienced practitioners.
- Pathway into industry.
- Networking opportunities.
- Opportunity to pitch project to industry guests.
About the Company
- Faculty was established in 2014 with the belief that AI would be the most important technology of our time.
- Faculty has worked with over 350 global customers to transform their performance through human-centric AI.
- Faculty innovates, builds, and deploys responsible AI.
- Faculty brings unparalleled depth of technical, product, and delivery expertise to clients across government, finance, retail, energy, life sciences, and defence.
- Faculty's business and reputation are growing rapidly.
- Faculty seeks individuals with intellectual curiosity and a desire to build a positive legacy through technology.
- Faculty empowers individuals to envision and implement the most powerful applications of AI.
Equal Opportunity
- Faculty aims to grow the best team, not the most similar one.
- Diversity of individuals fosters diversity of thought, strengthening the principle of seeking truth.
- Diverse teams deliver better work, relevant to the world.
- Faculty is united by deep intellectual curiosity and a desire to use abilities for measurable positive impact.
- Strongly encourage applications from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.