Faculty
Visit websiteSenior Data Scientist
Salary not disclosedOnsite
- Retail & Consumer
- London
- Full time
- Yesterday
About the role
As a Senior Data Scientist, you will lead high-impact AI projects and shape the technical direction of bespoke solutions for clients in the retail and consumer sector. You will define data science approaches, design robust software architectures, and mentor colleagues to ensure delivery rigour. The role involves building deep client relationships and strengthening the company's reputation as a leader in practical, measurable AI.
Responsibilities
- Leading project teams that deliver bespoke algorithms and high-stakes AI solutions to clients across the retail and consumer sector
- Translating complex business problems into the right data science solutions, and mapping the end-to-end approach so it meets client needs and is technically feasible
- Designing the software architecture for data science solutions, working alongside engineering colleagues
- Partnering with our commercial teams to build client relationships and shape project scope for technical success
- Owning the technical side of the client relationship on projects and in business development, helping to secure successful outcomes
- Estimating delivery timelines and leading your team to deliver to a demanding schedule
- Supporting the professional growth of data scientists on your projects through mentorship, coaching and feedback
- Upholding best practice throughout the project lifecycle, including embedding responsible AI thinking in how problems are framed, not only in how models are evaluated
- Contributing to hiring at Faculty
Required skills
- Python
- Machine Learning
- AI
- Software Architecture
- Data Science
Qualifications
- Senior experience in a professional data science position
- Experience in a quantitative academic field
About the Company
Faculty was established in 2014 to transform performance through human-centric AI. They work with global customers across government, finance, retail, energy, life sciences and defence to innovate, build and deploy responsible AI.