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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.
Responsibilities
- 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.
Requirements
- Proven project management expertise, capable of dividing complex, ill-defined problems into actionable, clearly defined workstreams with timelines you can defend.
- Strong customer leadership skills, able to act as a trusted technical advisor and drive long-term strategic relationships with demanding clients.
- Depth of expertise in at least one machine learning domain and strong technical breadth across the entire data science landscape.
- Skilled technical leader, proficient in mentoring individuals, managing teams (including other managers), and rolling out impactful tools and workflows.
- Adept at managing ill-defined, high-risk tasks, consistently delivering innovative and practical outcomes under commercial pressure.
- Excels at cross-functional collaboration, effectively aligning technical strategy with Engineering, Commercial, and Infrastructure teams.
- Experience extending technical oversight to business unit-level initiatives, using your vision to influence and contribute to organisational success.
Skills
- Machine Learning
- Data Science
- Project Management
- Customer Leadership
- Technical Leadership
- Mentoring
- Team Management
- Cross-functional Collaboration
Location
- Hybrid Working
Work Type
- Hybrid Working
- Part-time hours considered
Experience Level
- Lead
Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
About the Company
- Faculty was established in 2014 with the belief that AI would be the most important technology of our time.
- Faculty has worked with over 350 global customers to transform their performance through human-centric AI.
- Faculty innovates, builds, and deploys responsible AI which moves the needle.
- Faculty brings unparalleled depth of technical, product, and delivery expertise to clients spanning government, finance, retail, energy, life sciences, and defence.
- Faculty's business and reputation are growing rapidly.
- Faculty is looking for individuals who share intellectual curiosity and a desire to build a positive legacy through technology.
- Faculty is a company where individuals will be empowered to envision AI's most powerful applications and to make them happen.
- Faculty’s Life Science’s team is focused on building AI solutions to optimize the research and commercialization of life-changing therapies.
- Faculty partners with major pharma firms, academic research centers, and regulators to design and deliver solutions addressing critical healthcare challenges and democratizing health for all.
Equal Opportunity
- We aim to grow the best team - not the most similar one.
- Diversity of individuals fosters diversity of thought, which strengthens our principle of seeking truth.
- Diverse teams deliver better work, relevant to the world in which we live.
- We are 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.