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About the Role
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, 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, where fellows present their work to industry leaders.
Responsibilities
- Participate in two weeks of intensive lectures and workshops.
- Undertake a six-week data science project with a project company.
- Present work at Demo Day to industry leaders and hiring managers.
Requirements
- Must have the right to work full-time in the UK.
- Must be able to work in-person in London (UK) for the full duration of the eight-week program.
- A finished PhD or Master's in a STEM subject with some data science/machine learning experience.
- High level of mathematical competence.
- Ability to code or have programming experience, especially in Python.
- Some experience with theoretical concepts of statistical learning.
- Experience with some coding libraries frequently used in data science.
- Ability to communicate effectively.
- Experience composing and following a project plan/sticking to self-imposed deadlines.
Skills
- Data Science
- Machine Learning
- Python
- Statistical Learning
- Communication
Location
- London, UK
Work Type
- Full-time
- In-person
Experience Level
- PhD or Master's degree in a STEM subject
- Some data science/machine learning experience
Education Level
- PhD
- Master's in a STEM subject
Salary/Compensations
- London Living Wage
Benefits
- Paid experience at London Living Wage for 8 weeks
- Two weeks of technical and commercial lectures and workshops
- Continued training every Friday
- Six weeks embedded with a project company
- Proven track record of helping academics move into data science roles
- Access to a network of 500+ alumni
- Opportunity to present work to 100+ industry leaders
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working
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 in government, finance, retail, energy, life sciences, and defense.
- 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.
- Faculty is united by a deep intellectual curiosity and desire to use abilities for measurable positive impact.
- Strongly encourage applications from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.
- Open to conversations about part-time hours.