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. We don’t chase hype cycles. We innovate, build and deploy responsible AI that moves the needle. Our clients span government, finance, retail, energy, life sciences and defence.

About The Team

In our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape.

About The Role

As a Principal Data Scientist at Faculty, you will serve as a technical leader and domain expert who owns and drives delivery of the most technically complex, high‑impact projects. You will set technical direction, mentor, and develop our data scientists.

What You’ll Be Doing

• Serving as a technical authority on machine learning, generative AI, and other advanced data science methods.
• Leading the development of shared resources, frameworks, and best practices.
• Contributing to scoping and bid processes for large‑scale, high‑stakes projects.
• Owning a portfolio of work within a specific sector to deliver exceptional value.
• Leading and mentoring project teams and direct reports to ensure successful delivery.
• Acting as a thought leader, publishing papers, and presenting at industry conferences.

Who We’re Looking For

• Extensive experience as a thought leader in this space, with demonstrable technical ability, creativity, and flexibility.
• Prior experience delivering distinctive applications with financial services clients that drove commercial impact.
• Broad knowledge across machine learning techniques, including generative and agentic AI with large language models.
• Advanced coding skills in Python and experience building and maintaining scalable codebases.
• Enjoyment of mentoring junior colleagues and prior direct management experience.
• High proficiency in strategic problem‑solving and clear communication to non‑technical audiences.

The Interview Process

• Talent Team Screen (30 minutes)
• Introduction to Business Unit Director (30 minutes)
• Technical Interview (90 minutes)
• Commercial & Principles Interview (90 minutes)

Our Recruitment Ethos

We aim to grow the best team—not the most similar. Diversity of individuals fosters diversity of thought, strengthening our principle of seeking truth. We strongly encourage applications from all backgrounds, ethnicities, genders, religions, and sexual orientations.

Standout Benefits

• Unlimited Annual Leave Policy
• Private healthcare and dental
• Enhanced parental leave
• Family‑Friendly Flexibility & Flexible working
• Sanctus Coaching
• Hybrid Working (2 days in our Old Street office, London)

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat – talent@faculty.ai. We are open to conversations about part‑time roles or condensed hours.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

Industries

Technology, Information and Internet