Lead Data Scientist Retail

Why Faculty

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then weve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.

We dont 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 were 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 youll 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.

#LI-PRIO

About the role

As a Lead Data Scientist youll 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 youll 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 demanding clients 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.

Who were looking for:

• You bring depth of expertise in at least one machine learning domain and strong technical breadth across the entire data science landscape.

• You are a skilled technical leader proficient in mentoring individuals managing teams (including other managers) and rolling out impactful tools and workflows.

• You have proven project management expertise capable of dividing complex ill-defined problems into actionable clearly defined workstreams with timelines you can defend.

• You are adept at managing ill-defined high-risk tasks consistently delivering innovative and practical outcomes under commercial pressure.

• You possess strong customer leadership skills able to act as a trusted technical advisor and drive long-term strategic relationships with demanding clients.

• You excel at cross-functional collaboration effectively aligning technical strategy with Engineering Commercial (BD) and Infrastructure teams.

• You have experience extending technical oversight to business unit-level initiatives using your vision to influence and contribute to organisational success.

Our Interview Process

1. Talent Team Screen (30 minutes)

2. Introduction to the team (30 minutes)

3. Take Home Technical Assessment

4. Technical Interview (90 minutes)

5. Commercial Interview (60 minutes)

Our Recruitment Ethos

We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work relevant to the world in which we live. Were united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds ethnicities genders religions and sexual orientations.

Some of our standout benefits:

• Unlimited Annual Leave Policy

• Private healthcare and dental

• Enhanced parental leave

• Family-Friendly Flexibility & Flexible working

• Sanctus Coaching

• Hybrid Working

If you dont feel you meet all the requirements but are excited by the role and know you bring some key strengths please dont hesitate in applying as you might be right for this role or other roles. We are open to conversations about part-time hours.

Required Experience:

IC