At a Glance
- Tasks: Lead complex data science projects and drive innovation in a dynamic retail environment.
- Company: Join a forward-thinking company that values technical expertise and collaboration.
- Benefits: Enjoy unlimited annual leave, private healthcare, and flexible working options.
- Other info: Embrace a hybrid work culture with opportunities for personal and professional growth.
- Why this job: Make a real impact by shaping technical standards and mentoring future data scientists.
- Qualifications: Expertise in machine learning and strong leadership skills required.
The predicted salary is between 60000 - 80000 £ per year.
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.
What You'll 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 We're 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.
Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family‑Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working
Lead Data Scientist - Retail employer: Faculty
As a Lead Data Scientist at our innovative retail company, you'll be part of a dynamic work culture that prioritises collaboration and personal growth. With benefits like unlimited annual leave, private healthcare, and family-friendly flexibility, we empower our employees to thrive both professionally and personally. Join us in a role where your expertise will not only drive impactful projects but also shape the future of our data science team in a supportive and forward-thinking environment.
