Lead Data Scientist

Stack

Responsibilities

• ▹Set the technical direction for complex, business-critical projects, expertly balancing trade-offs between speed, innovation, and reliability
• ▹Design and implement reliable, production-grade technical solutions, ensuring 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 technical solutions with shared long-term commercial goals
• ▹Drive the adoption of best practices, shared resources, and robust technical processes across the wider Data Science craft
• ▹Mentor and develop other data scientists and team members, contributing to the organisation's growth and technical excellence

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 and workflows
• ▹Proven project management expertise, capable of dividing complex, ill-defined problems into actionable, clearly defined workstreams with defensible timelines
• ▹Adept at managing ill-defined, high-risk tasks, consistently delivering innovative and practical outcomes under commercial pressure
• ▹Strong customer leadership skills, able to act as a trusted technical advisor and drive long-term strategic relationships with demanding clients
• ▹Excels at cross-functional collaboration, aligning technical strategy with Engineering, Commercial, and Infrastructure teams
• ▹Experience extending technical oversight to business unit-level initiatives, contributing to organisational success

Soft skills

What we offer

• ▹Unlimited annual leave
• ▹Private healthcare and dental cover
• ▹Enhanced parental leave
• ▹Family-friendly flexibility and flexible working
• ▹Sanctus coaching
• ▹Hybrid working

About the company

Founded in 2014, Faculty is a human-centric AI company that has worked with over 350 global customers across government, finance, retail, energy, life sciences and defence. This role sits within Faculty's Professional and Financial Services unit, which draws on over a decade of Applied AI experience to help financial institutions become more efficient, enhance customer experience, and find commercial upside in uncertain markets, within the constraints of a highly regulated industry.