Faculty Fellowship - Data Science - UK - January 2027 at Faculty Fellowship | GB | Rezi

Faculty Fellowship - Data Science - UK - January 2027 at Faculty Fellowship

Faculty Fellowship - Data Science - UK - January 2027

Faculty Fellowship · GB

3 weeks ago

Faculty Fellowship - Data Science - UK - January 2027

Faculty Fellowship · GB

24 days ago
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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.