Senior Data Scientist
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About Faculty
At Faculty, we transform organisational performance through safe, impactful and human-centric AI.
With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme.
Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI.
Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.
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.
We develop and embed AI solutions which help firms become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for meaningful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment.
About the role:
As a Senior Data Scientist, you will lead high-impact AI projects and shape the technical direction of bespoke solutions. This role requires hands-on technical excellence combined with crucial team leadership.
You will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigor across projects all while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI.
What you'll be doing:
- Mapping the end-to-end data science approach and designing the associated software Leading project teams that deliver bespoke algorithms and high-stakes AI solutions to clients across the sector.
- Conceiving the core data science approach and designing the associated robust software architecture for new engagements.
- Mentoring a small number of data scientists and supporting the professional growth of technical team members on projects.
- Partnering with commercial teams to build client relationships and shape project scope for technical feasibility.
- Contributing to Faculty's thought leadership and reputation through delivering courses, public speaking, or open-source projects.
- Ensuring best practices are followed throughout the project lifecycle to guarantee high-quality, impactful delivery.
Who we're looking for:
- You possess senior experience in a professional data science position or a quantitative academic field.
- You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch).
- You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating a proficiency across the standard data science toolkit, including the ability to develop new, innovative algorithms.
- You bring a leadership mindset, focused on growing the technical capabilities of the team and nurturing a collaborative culture.
- You exhibit commercial awareness, with experience in client-facing work and the ability to translate business problems into a rigorous mathematical framework.
- You are skilled in project planning, assessing technical feasibility, estimating delivery timelines, and leading a team to deliver high-quality work on a strict schedule.
The Interview Process
Talent Team Screen (30 minutes)
Take Home Technical Test
Technical Interview (90 minutes)
Commercial Interview (60 minutes)
What we can offer you:
The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day.
Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals.
Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.