FDM is a global business and technology consultancy seeking a Data Modelling Lead to work for our client within the finance sector. This is initially a 6-month contract with the potential to extend and will be a hybrid role based in London or Glasgow.
Our client is seeking a strategic and technically skilled professional to lead the development of a robust decision support model for workforce strategy. This model will enable a forward-looking, data-driven approach to workforce planning—informing location strategy, talent deployment, and long-term resource decisions across the organisation.
This is a high-impact role, ideal for someone with a blend of modelling expertise, data science fluency, and stakeholder engagement experience. You will design and deliver a comprehensive, end-to-end solution that empowers business leaders with actionable insights to drive better decisions around workforce optimisation.
Responsibilities
1. Design and build a flexible, transparent decision support model to assess workforce deployment options, considering variables such as location strategy, skills mapping, tenure, performance indicators, office attendance, attrition, and retirement forecasts
2. Convert ad-hoc workforce strategies into a formalised, model-based framework that supports governance and informs quarterly or semi-annual reviews
3. Deliver model outputs that provide business leaders with a range of strategic options, supported by variable-rich, scenario-based analysis to aid human-in-the-loop decision-making
4. Develop the model using the most appropriate tools for the task.
5. Partner with internal teams and academic collaborators (including active engagement with a university research stream) to ensure robust methodologies, with the possibility of supporting doctoral-level research
6. Work with a complex dataset representing approximately 6, roles to uncover insights and guide modelling assumptions
7. Lead the full lifecycle of the model—from initial concept and design through to production, handover, and support for ongoing maintenance by junior team members
8. Produce and maintain dynamic location rankings based on operational and external market variables such as skills availability, wage inflation, and hiring feasibility
9. Ensure the decision support tool remains dynamic, up to date, and aligned with stakeholder needs through regular updates and feedback loops