At a Glance
- Tasks: Lead complex data science projects and deliver innovative digital products.
- Company: Dynamic consulting firm focused on sustainable change and collaboration.
- Benefits: Up to £110,000 salary, flexible working, 25+ days leave, and health benefits.
- Why this job: Join a high-performing team and make a real impact with cutting-edge data solutions.
- Qualifications: 6-8+ years in data science, strong technical leadership, and excellent communication skills.
- Other info: Inclusive culture that values transparency and personal growth.
The predicted salary is between 66000 - 77000 £ per year.
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 expanding and contributing to some of the most impactful programmes across the firm.
Responsibilities
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 is strong 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
- 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
- Lead multidisciplinary teams with confidence
- Coach, mentor and support junior team members, ensuring they deliver high-quality technical work
- Foster engineering maturity and support the development of technical capability across the team
- Engage with senior stakeholders
- Translate technical detail into actionable insights and recommendations for clients
- Build trusted relationships with leaders across multiple sectors
- Support commercial and proposition development
- Provide technical input into proposals and bids
- Contribute to refining our Data Science and AI propositions
Essential skills
We are seeking candidates with 6–8+ years of experience in data science, data engineering, analytics or AI product delivery, with a strong emphasis on hands-on technical leadership.
Deep Technical Delivery Expertise
- 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
- Automated testing (unit, integration, data validation, ML testing)
- Infrastructure-as-code (Terraform, ARM, CloudFormation)
- Monitoring and observability
- Experience with cloud ecosystems (Azure, AWS, GCP, Snowflake, Databricks)
- Strong understanding of software engineering fundamentals and modern development practices
Leadership & Consulting Capability
- 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
What we can offer you:
- 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
- We recognise and reward performance consistently and transparently across the firm so that everyone knows where they stand
- We offer 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
- We support 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.
Manager – Data Science employer: Moorhouse
Contact Detail:
Moorhouse Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager – Data Science
✨Tip Number 1
Network like a pro! Get out there and connect with people in the data science field. Attend meetups, webinars, or industry events. You never know who might have the inside scoop on job openings or can refer you to someone at Moorhouse.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Whether it's machine learning models or data visualisations, having tangible examples of your work can really impress potential employers and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions and scenarios. Think about how you would lead a project or solve a complex problem. Being able to articulate your thought process and technical expertise will make you a standout candidate.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Moorhouse team and contributing to our mission of delivering sustainable change.
We think you need these skills to ace Manager – Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Manager – Data Science role. Highlight your technical delivery expertise and experience in leading complex projects. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team at Moorhouse. Be genuine and let your personality come through.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical skills, especially in Python, SQL, and machine learning. We’re looking for someone who can lead with confidence, so make sure to highlight relevant projects and achievements.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Moorhouse
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially in Python and SQL. Be ready to discuss your experience with machine learning models and data pipelines, as these are crucial for the role. Prepare examples of past projects where you’ve led complex data science initiatives.
✨Showcase Your Leadership Skills
Since this role involves leading teams, think about times when you've successfully guided others. Be prepared to share how you’ve mentored junior team members and fostered a collaborative environment. Highlight your ability to engage with senior stakeholders and translate technical details into actionable insights.
✨Understand the Company Culture
Familiarise yourself with Moorhouse’s values of collaboration, honesty, and integrity. During the interview, demonstrate how your personal values align with theirs. Share examples of how you’ve contributed to a positive team culture in previous roles.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their data science projects, team dynamics, and future goals. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.