Faculty
Fellowship
FacultyFellowshipProgramme-DataScience-October2026
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Faculty Fellowship Programme - Data Science - October 2026 at Faculty. Skills: Data science, Machine learning, AI. Apply technical knowledge to data science. Work on data science project”
What You'll Achieve.
Transition into data science careers; Enhance products; Improve services; Save lives
Industry & Context.
Work in-person in London
What They're Looking For.
Must Have
Right to work full-time in UK, Finished PhD or Master's in STEM, Some data science/machine learning experience, High level of mathematical competence, Ability to code, Programming experience, Python experience, Experience with theoretical concepts of statistical learning, Experience with coding libraries used in data science, Ability to communicate effectively, Experience composing and following a project plan, Experience sticking to self-imposed deadlines
Nice to Have
PhD preferred, Cloud platform certifications
What You'll Do.
Apply technical knowledge to data science
Work on data science project
Present hard work at Demo Day
How You'll Work.
Team & Collaboration
Project companies
Communication Scope
Communicate effectively; Video-based communication task
Process & Methodology
Project plan, Self-imposed deadlines
Full Job Description
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 https://faculty.ai/impact. 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. ABOUT THE FELLOWSHIP Artificial Intelligence is the most important technology of our age, but it is only valuable when it is applied in the real world - enhancing products, improving services, and saving lives. Since 2014, Faculty has helped 500+ PhD graduates, post-doctoral researchers, masters and experienced software engineers transition into a career in data science through our fellowship programme. The Faculty Fellowship programme helps academics become highly-skilled data scientists and machine learning engineers, transitioning successfully into careers and industries that are ready to benefit from artificial intelligence. After two weeks of intensive lectures and workshops at Faculty, wherein fellows will learn how to apply their technical knowledge towards the application of data science, fellows are paired with project companies for a six-week data science project, during which fellows are paid the London Living Wage. The finale of the fellowship is Demo Day. Fellows have the opportunity to present their hard work to an a
Applying for this Faculty Fellowship Programme - Data Science - October 2026 role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about Faculty?
Real rants from real employees. Read before you apply.