Lead Statistician / Lead Statistical Data Scientist

Salary: £61,000 - 101,000 per year

Requirements:

• A minimum of 8 years of industry experience applying statistics, mathematics and machine learning to real-world problems.
• Advanced academic training in Statistics, Mathematics, Machine Learning, Data Science or a related discipline, with a PhD preferred.
• Deep understanding of probability, statistics, uncertainty, linear algebra and calculus.
• Extensive experience working with large datasets, data preparation and machine learning workflows.
• Proven experience applying classification, clustering, dimension reduction and other machine learning techniques.
• Strong programming capability and experience writing efficient, maintainable code in collaborative environments.
• Advanced Python and R expertise.
• Experience working with modern development tools and practices, including GitHub, VS Code, Conda and cloud environments.
• An ability to balance technical rigour with practical business outcomes.
• Strong communication skills and confidence working with stakeholders across different functions and levels.
• A passion for mentoring, coaching and growing technical talent.
• Sound judgement, curiosity and a willingness to challenge assumptions when better solutions exist.
• Experience with Databricks or similar analytics platforms.
• Experience with HTML, JavaScript or related technologies.
• Previous experience in a scaling technology, analytics or science-led business.
• Experience leading teams through growth and change.

Responsibilities:

• Provide technical leadership across statistical and machine learning projects.
• Mentor and support other data scientists, helping raise capability across the team.
• Lead a high-performing, engaged team that delivers meaningful outcomes and contributes positively to our culture.
• Partner with stakeholders to understand problems, develop solutions and assess wider business impact.
• Build statistical models and machine learning approaches that turn data into decisions.
• Develop and deploy predictive models that solve business and operational challenges.
• Work with large and complex datasets from diverse sources.
• Create visualisations, dashboards and reporting tools that communicate insight clearly.
• Work cross-functionally to embed data science into products, workflows and decision-making processes.
• Keep up with developments in statistics and data science and bring the useful ones into our analytics.
• Provide trusted expert guidance to internal and external stakeholders.

Technologies:

• Cloud
• Databricks
• GitHub
• Support
• JavaScript
• Machine Learning
• Python
• VS Code

More:

We are Oritain, a global leader in forensic origin verification of products and raw materials, with offices in Auckland, Dunedin, London, Paris, Singapore and Washington D.C. Our vision is to be the source of truth in global supply chains, and our mission is to harness cutting-edge science, data and specialized services to create a community of origin-verified buyers and suppliers, protecting our people and planet. We help the worlds leading brands make positive changes across their supply chain by ensuring product integrity, meeting regulatory demands and reducing the risk of fraud and unethical sourcing. This role is part of our growth stage as we continue building processes and capabilities, offering ownership, influence and the chance to help bring clarity to complexity. We offer hybrid working with a minimum of 3 days per week in our Farringdon office, 35 days paid leave including public holidays, birthday off, enhanced maternity and paternity leave, life insurance, healthcare cash plan, employee assistance programme, pension, monthly wellbeing allowance, breakfast, snacks, Friday lunch and barista coffee in the office, plus a learning portal with over 100,000 assets for professional development. We welcome applications from everyone and encourage you to bring your whole self to the process, including any reasonable adjustments you may need.

last updated 37 week of 2026