Head of Data Science If you’re looking for a role where you architect the technical direction of a data organisation from the ground up — setting standards, priorities, and culture — this is a rare opportunity to do exactly that.
Xcede is working with a venture-backed technology company building large-scale decision intelligence systems for regulated, data-intensive industries. Their platform sits at the intersection of advanced analytics, automation, and risk-sensitive decision-making, supporting organisations that rely on complex data to operate accurately and responsibly.
They are now hiring a Head of Data Science to lead the evolution of their analytical capabilities as the business scales. This role combines deep technical judgement with leadership responsibility, owning how data science is applied across products, internal decision-making, and long-term technical strategy.
You’ll be responsible for defining how modelling, experimentation, and evaluation are carried out across the organisation — from selecting appropriate statistical approaches to ensuring analytical outputs are robust, interpretable, and production-ready. Alongside this, you’ll guide how data science integrates with engineering, product development, and customer-facing use cases.
Working closely with senior leadership and platform architects, you’ll balance hands-on technical oversight with forward-looking planning. Your work will directly influence system reliability, analytical credibility, and the company’s ability to operate confidently in complex, high-impact environments.
Requirements
- A strong academic background in a quantitative, technical, or scientific discipline
- Extensive experience operating at senior or leadership level within data science or applied analytics teams
- Advanced proficiency in Python and modern data science tooling
- Proven ability to design and govern analytical standards across multiple projects or teams
- Comfortable working in evolving problem spaces while providing clarity and direction for others
- Strong communication skills, able to explain technical reasoning to a wide range of stakeholders
- A collaborative leadership style combined with clear accountability for outcomes
- Strong systems thinking, connecting analytical decisions to operational and business impact
- Motivated by building data-driven systems that influence real-world decisions at scale
If you are interested in this role or other senior data leadership opportunities, please contact
Gilad Sabari — |
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