Management Consultant - Manager - Data Science

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. We will expect you to contribute to a culture of sustainability and embrace Moorhouse’s social responsibility by integrating responsible practices and upholding ethical standards and awareness in everyday work. Moorhouse is currently unable to offer visa sponsorship for this role. Unfortunately, this means we are not able to progress applications from candidates who would require sponsorship now or in the future.

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 expanding and contributing to some of the most impactful programmes across the firm.

Responsibilities

• Lead complex end‑to‑end delivery of data science and digital product solutions.
• Lead the delivery of high‑impact projects involving machine learning, forecasting, optimisation and data‑driven digital products.
• Design and architect analytical solutions, including modelling approaches, data pipelines, integration patterns and deployment frameworks.
• Promote delivery excellence, engineering discipline and best‑practice coding standards across teams.
• Be the technical leadership on DevOps/MLOps.
• Implement and embed CI/CD pipelines, automated testing frameworks, containerisation and monitoring.
• Guide cloud architecture and infrastructure‑as‑code approaches (AWS, Azure, GCP).
• Encourage best practices for operationalising machine learning models at scale.
• Coach, mentor and support junior team members, ensuring they deliver high‑quality technical work.
• Translate technical detail into actionable insights and recommendations for clients.
• Build trusted relationships with leaders across multiple sectors.
• Provide technical input into proposals and bids.
• Contribute to refining our Data Science and AI propositions.

Essential Skills

• 6–8+ years of experience in data science, data engineering, analytics or AI product delivery, with a strong emphasis on hands‑on technical leadership.
• Advanced proficiency in Python and SQL; experience designing and delivering production‑grade solutions.
• Operationalisation of machine learning models, forecasting tools, optimisation algorithms or analytical applications.
• Experience designing data pipelines, ETL workflows, APIs and data integration approaches.
• Extensive expertise in DevOps/MLOps, including CI/CD, Containerisation, Automated testing, Infrastructure‑as‑code, Monitoring and observability.
• Experience with cloud ecosystems (Azure, AWS, GCP, Snowflake, Databricks).
• Strong understanding of software engineering fundamentals and modern development practices.
• Proven ability to lead delivery of complex technical programmes.
• Strong people leadership and mentoring capabilities.
• Excellent communication skills and ability to engage senior stakeholders.
• Collaborative mindset and commitment to high‑quality client delivery.

Benefits

• A total cash package of up to £110,000 comprising of a base salary of £82,005 and a combination of personal and company bonuses that are paid every six months.
• 25 days annual leave increasing by one day for every full year of service to a maximum of 30 days with the option to buy or sell up to five days of annual leave per year.
• Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of discounted lifestyle and well‑being benefits through Perkbox.
• A culture where you will not need to compete with others because of promotion quotas or the typical distribution curves that govern performance management in other organisations.
• Flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team on UK client sites.
• 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.