Faculty Fellowship Programme - Data Science - October 2026

Why Faculty?

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.

We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.

Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.

AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.

Why the Faculty Fellowship?

Artificial Intelligence is the defining technology of our age, but it is only valuable when applied to the real world. Since 2014, Faculty has helped over 500 PhDs, postdocs and engineers transition into high-impact careers in data science and machine learning.

How it works:

• 2 Weeks of Intensive Training: Learn to apply your advanced technical knowledge to real-world data science problems.

• 6 Week Paid Placement: Tackle a commercial data science project with a host company (paid at the London Living Wage).

• Demo Day Finale: Present your work to 100+ guests and industry leaders from across the UK and Europe.

Where our alumni go: Our alumni have gone on to shape the future at companies like Google, Meta, Tesco, and AstraZeneca, as well as disruptive startups like PhysicsX and Orbital Witness. We are also incredibly proud that a high percentage of fellows choose to continue their journey internally, joining the Faculty team permanently.

About the role

As a Fellow at Faculty, you will join an elite cohort transforming industries through cutting-edge data science. This intensive, eight-week programme bridges academia and real-world impact, embedding you directly into high-stakes commercial environments.

You will apply advanced machine learning techniques to solve complex, ambiguous problems for our clients, turning theoretical knowledge into high-value deployable solutions. It is a fast-paced launchpad designed to accelerate your technical growth, build exceptional commercial acumen, and empower you to shape the future of artificial intelligence in an ambitious, forward-thinking tech community.

Who we're looking for:

• You hold a finished PhD or Master’s degree in a STEM subject, complemented by a strong foundation in data science or machine learning.

• You possess a high level of mathematical competence alongside solid experience with theoretical concepts like hypothesis testing, Bayesian inference, and neural networks.

• You demonstrate strong programming skills, particularly in Python, and feel comfortable navigating core data science coding libraries.

• You bring an entrepreneurial mindset, showing the resilience and autonomy needed to structure your own project plans and hit critical deadlines.

• You can communicate complex technical ideas clearly, adapting your language seamlessly for both technical peers and non-technical partners.

• You thrive in fast-paced, ambitious environments, showing curiosity and a relentless drive to learn and deploy new technologies.

Requirements

• Right to Work: We are unfortunately unable to offer visa sponsorship for this role, so you will need to hold full-time UK right to work to apply. If your eligibility is based on a visa, just pop the details of your situation into your application so we can review it. To learn more about your options, check out www.gov.uk.

• Location & Logistics: This is a fully in-person, eight-week programme based in London, so you will need to be able to commute daily for the entire duration. Please keep in mind that Faculty is unable to provide or reimburse accommodation and travel expenses.

Our Timelines

• 14th July 2026 (17:00 BST): Application Deadline.

• Mid July: Coding tests sent via email.

• Late July – Mid-August: Interviews held remotely online.

• 4th September: Final notifications sent to all applicants.

• 5th Oct – 27th Nov 2026*: Programme duration (Full-time, Monday–Friday).

*Please note that the program dates are tentative and may be adjusted or postponed entirely. We will notify all applicants immediately should any changes occur to the dates or the program schedule. We appreciate your flexibility and understanding.

What the Fellowship offers

• Fully Paid: Earn the London Living Wage for the full eight weeks.

• Expert-Led Training: Two weeks of immersive lectures followed by weekly Friday masterclasses, bridging the gap between academic theory and commercial data science.

• Dedicated Mentorship: Receive ongoing support and guidance from experienced Faculty practitioners, gaining insight into how AI and data science are applied to solve real-world business challenges while developing your technical, commercial and communication skills.

• Real-World Value: A dedicated six-week placement embedded with a business, tackling a high-stakes data science challenge.

• Career Launchpad: A proven pathway into industry, backed by more than a decade of helping technically exceptional individuals successfully transition into industry across tech, startups, and the FTSE 100.

• Unrivalled Networking: Connect with a 500+ strong alumni community and pitch your project to 100+ industry guests at Demo Day.

Our Recruitment Ethos

We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.