A total cash package of up to £110,000 comprising of a base salary of £82,005
We are a dynamic consulting firm, focused on delivering sustainable change. We ensure our clients succeed in their long-term goals by helping them turn their strategy into action through exceptional delivery and a commitment to establishing a culture of change. Clients like what we do and how we work, and we are looking for people to join the Moorhouse team.
We pride ourselves on being proactive, collaborative, and straightforward team players. We work efficiently and collaboratively as a team and both honesty and integrity are key to this. In return you will be part of a supportive and high-performing team that shares the workload, looks after each other and celebrates success together. You can be assured of an exciting opportunity that will help you grow your skills through meaningful challenges and equip you with skills, experience and knowledge that can help organisations respond to the turbulence, change and opportunity that will define the future of work. We encourage behaviours that promote transparency, collaboration and achievement of shared goals.
Data Science at Moorhouse
Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining deep technical expertise with the consulting skills needed to drive real-world change. Our team works across the full data and analytics lifecycle,from defining strategy and enabling data-driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision-making.
We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web-based products that deliver forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on driving tangible business outcomes.
As demand for digital and AI-enabled transformation continues to grow, our Data Science team is expandingand contributing to some of the most impactful programmes across the firm.
ResponsibilitiesWhy join the Data Science team at Moorhouse?
We are seeking a hands-on, technically focused Manager to join the Data Science function, who will lead the delivery of complex data science and digital product projects. While there will be opportunities to contribute to business growth and propositions, the key component of this role isstrong technical delivery: architecting solutions, guiding teams, and ensuring the highest-quality output.
This role complements another Manager in the team who is focused on proposition development and commercial growth. You will bring the deep engineering and delivery expertise necessary to ensure our solutions are robust, scalable and production-ready.
In this role, you will have the opportunity to:
Lead complex end-to-end delivery of data science and digital product solutions
Be the technical leadershipon DevOps/MLOps
Lead multidisciplinary teams with confidence
Engage with senior stakeholders
Support commercial and proposition development
What are we looking for?
We are seeking candidates with6-8+ years of experiencein data science, data engineering, analytics or AI product delivery, with a strong emphasis on hands-on technical leadership.
Deep Technical Delivery Expertise
Leadership & Consulting Capability
What we can offer you:
We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible.
Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally.
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