Lead Data Scientist

Stack

Responsibilities

• ▹Set the technical direction for complex, business-critical projects, balancing trade-offs between speed, innovation, and reliability
• ▹Design and implement reliable, production-grade technical solutions, with comprehensive documentation of architectures and specifications
• ▹Define project problems, develop clear roadmaps, and oversee end-to-end delivery across multi-disciplinary workstreams
• ▹Lead technical scoping and feasibility studies for high-value sales opportunities and strategic customer engagements
• ▹Manage relationships and communications with demanding clients, fostering trust and aligning solutions with long-term commercial goals
• ▹Drive adoption of best practices, shared resources, and robust technical processes across the Data Science craft
• ▹Mentor and develop other data scientists and team members

Requirements

• ▹Depth of expertise in at least one machine learning domain and strong technical breadth across the data science landscape
• ▹Skilled technical leader, proficient in mentoring individuals, managing teams (including other managers), and rolling out impactful tools
• ▹Proven project management expertise, dividing complex, ill-defined problems into actionable workstreams with defensible timelines
• ▹Adept at managing ill-defined, high-risk tasks, delivering innovative and practical outcomes under commercial pressure
• ▹Strong customer leadership skills, acting as a trusted technical advisor to demanding clients
• ▹Excellent cross-functional collaboration with Engineering, Commercial (BD), and Infrastructure teams
• ▹Experience extending technical oversight to business unit-level initiatives

Soft skills

What we offer

• ▹Unlimited Annual Leave Policy
• ▹Private healthcare and dental
• ▹Enhanced parental leave
• ▹Family-Friendly Flexibility & Flexible working
• ▹Sanctus Coaching
• ▹Hybrid Working

About the company

Faculty, founded in 2014, is an AI company that has worked with over 350 global customers across government, finance, retail, energy, life sciences and defence, building and deploying responsible, human-centric AI. This role sits within the Defence team, which builds AI solutions for the defence sector; it requires eligibility for UK Security Clearance (SC) and 2-4 days per week on-site with defence clients, with the flexibility to work from Faculty's London office or remotely elsewhere in the UK the rest of the time.