Lead Data Scientist

About the role

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 TEAM

Our Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI, we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive.

ABOUT THE ROLE

As a Lead Data Scientist, you'll take on a pivotal, entrepreneurial role, functioning as the technical expert who thrives on complexity and commercial impact. You will be responsible for setting the technical direction and ensuring the high-quality, scalable delivery of our most challenging, high-impact projects.

This position combines deep expertise in machine learning with strategic oversight to define project roadmaps, manage technical risk, and architect reliable solutions. Your focus will be on driving innovation, mentoring cross-functional teams, and actively shaping both our technical standards and long-term customer relationships.

WHAT YOU'LL BE DOING:

- Setting the technical direction for complex, business-critical projects and expertly balancing trade-offs between speed, innovation, and reliability.

- Designing and implementing reliable, production-grade technical solutions, ensuring comprehensive documentation of architectures and specifications.

- Defining project problems, developing clear roadmaps, and overseeing end-to-end delivery across multi-disciplinary workstreams.

- Leading technical scoping and feasibility studies for high-value sales opportunities and strategic customer engagements.

- Managing relationships and communications with technical stakeholders, fostering trust and aligning technical solutions with shared long-term commercial goals.

- Driving the adoption of best practices, shared resources, and robust technical processes across the wider Data Science craft.

- Mentoring and developing other data scientists and team members, actively contributing to the growth and technical excellence of the organisation.