At a Glance
- Tasks: Lead data science projects, delivering machine learning and analytical solutions for real-world impact.
- Company: Join Moorhouse, a dynamic consultancy focused on sustainable change and client success.
- Benefits: Competitive salary up to £80,000, flexible working, and generous leave options.
- Other info: Inclusive culture with no promotion quotas, fostering growth and collaboration.
- Why this job: Make a difference with cutting-edge data science in a supportive, collaborative environment.
- Qualifications: 4+ years in data science, strong Python and SQL skills, and consulting experience.
The predicted salary is between 64575 - 64575 € per year.
We are a dynamic consulting firm focused on delivering sustainable change. We help our clients succeed in their long-term goals by turning strategy into action through exceptional delivery and establishing a culture of change. As a transformation consultancy, we work with clients to improve the way they operate, deliver services, and empower their people. Our people are our greatest asset and core to why clients choose to work with us. We pride ourselves on being proactive, collaborative and straightforward team players, with a focus on being successful together. You will be part of a supportive and high-performing community that looks after one another, has fun, and celebrates success together. You can expect exciting opportunities on varied and stretching projects that will equip you with skills, experience and knowledge to help organisations thrive in a rapidly changing world. 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.
Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining strong technical expertise with the consulting skills needed to drive real-world change. Our team works across the full data and analytics lifecycle, from shaping 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 support forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on delivering tangible business outcomes.
As a Senior Consultant, you will help deliver advanced analytics and digital product solutions, leading defined workstreams and shaping how data science is applied in practice. You will play a key role in both hands-on delivery and client engagement. In this role, you will have the opportunity to:
- Deliver machine learning, forecasting and analytical solutions that support meaningful outcomes.
- Lead workstreams within broader programmes, ensuring clarity, structure and quality.
- Design analytical approaches and contribute to architectural decisions.
- Develop dashboards, apps and tools using PowerBI, KNIME, R or Python-based frameworks.
- Work directly with senior stakeholders, translating analytical insights into practical and actionable recommendations.
- Support business development through proposals, thought leadership and proposition development.
- Mentor junior colleagues and contribute to capability growth.
We are seeking candidates with 4+ years’ experience in data science, advanced data analytics, data engineering, or digital product development.
Core Analytics & Engineering
- Strong experience with Python and SQL; exposure to R is beneficial.
- Hands-on delivery of machine learning models or advanced analytical techniques.
- Experience designing data pipelines, dashboards, APIs or analytical tools.
- Experience with Power BI, Tableau, KNIME or Python visualisation frameworks.
- Familiarity with modern cloud platforms (Azure, AWS, GCP, Snowflake, Databricks).
GenAI & LLM Fluency
- Practical experience using large language models via APIs (e.g. OpenAI, Azure OpenAI, Anthropic).
- Structured prompt engineering, including templates, guardrails and basic evaluation approaches.
- Awareness of model limitations, hallucinations, latency and cost trade-offs.
Infrastructure & Production Mindset
- Conceptual and light hands-on familiarity with cloud infrastructure (Azure/AWS/GCP).
- Basic experience with Docker or environment management.
- Comfort moving from notebooks to production-ready services, pipelines or batch workflows.
- Exposure to APIs, simple backends or AI-enabled services.
Ethics, Governance & Risk
- Clear understanding of data privacy, GDPR and responsible AI principles.
- Comfort delivering AI solutions within client governance, security and risk constraints.
- Ability to explain AI risks and controls clearly to non-technical stakeholders.
Consulting Skills
- Strong communication and stakeholder engagement skills.
- Ability to translate complex analytical and AI concepts in a way that is easy to understand and client-friendly.
- Experience leading structured delivery within consulting or project environments.
- Confidence balancing technical delivery with commercial and client needs.
Bonus Experience
- Experience building internal AI tools, copilots or assistants.
- Exposure to LangChain, LlamaIndex or similar orchestration frameworks.
- Well-developed production mindset, with a focus on reliability and maintainability.
Benefits
- A total cash package of up to £80,000 comprising of a base salary of £64,575 and a combination of personal and company bonuses paid every six months.
- 25 days annual leave, increasing by one day for every full year of service to a maximum of 30, plus the option to buy or sell up to five days per year.
- Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of lifestyle and wellbeing benefits through Perkbox.
- Enhanced family-friendly package: generous parental pay, flexible working options, and paid time off for family commitments.
- Inclusive Culture and Community: a wide range of employee resource groups that encourage collaboration, peer support and offer learning and education opportunities.
- A culture where you will not need to compete with others because of promotion quotas or the typical distribution curves that govern performance management.
- We offer flexible working arrangements with our offices near Liverpool Street.
- 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.
Management Consultant - Senior Consultant - Data Science in London employer: Moorhouse Consulting
Moorhouse is an exceptional employer that fosters a dynamic and inclusive work culture, prioritising employee well-being and professional growth. With a strong focus on collaboration and integrity, employees are empowered to engage in meaningful projects that drive real-world change while enjoying generous benefits such as flexible working arrangements, enhanced parental leave, and a transparent promotion process. Located near Liverpool Street, Moorhouse offers a vibrant environment where team members can thrive and contribute to impactful data science initiatives across various sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Management Consultant - Senior Consultant - Data Science in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Moorhouse on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by practising common consulting scenarios. Think about how you'd tackle real-world problems using data science. Show them you can turn strategy into action!
✨Tip Number 3
Be ready to showcase your technical skills. Bring examples of your work with Python, SQL, or any cool projects you've done. They want to see how you can deliver tangible outcomes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Moorhouse team.
We think you need these skills to ace Management Consultant - Senior Consultant - Data Science in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Consultant role. Highlight your experience in data science and how it aligns with Moorhouse's focus on delivering sustainable change. We want to see how you can turn strategy into action!
Showcase Your Skills:Don’t just list your skills—demonstrate them! Use specific examples of projects where you've delivered machine learning models or analytical solutions. We love seeing tangible outcomes, so make sure to include those details.
Be Authentic:Let your personality shine through in your application. We value honesty and integrity, so be straightforward about your experiences and what you can bring to the team. Remember, we’re looking for proactive and collaborative team players!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the info you need about the role and our culture there!
How to prepare for a job interview at Moorhouse Consulting
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in Python and SQL. Be ready to discuss your hands-on experience with machine learning models and analytical techniques, as well as any projects you've worked on that demonstrate your ability to deliver tangible outcomes.
✨Understand the Business Context
Moorhouse is all about delivering meaningful change for clients. Familiarise yourself with their approach to consulting and think about how your data science expertise can help solve real-world problems. Be prepared to share examples of how you've translated complex data insights into actionable recommendations for stakeholders.
✨Show Off Your Communication Skills
Strong communication is key in consulting. Practice explaining technical concepts in a way that's easy for non-technical stakeholders to understand. Think about how you can convey your ideas clearly and confidently during the interview, especially when discussing your past experiences.
✨Be Ready to Collaborate
Moorhouse values teamwork and collaboration. Prepare to discuss how you've worked effectively in teams, mentored junior colleagues, or contributed to a positive team culture. Highlight any experiences where you've led workstreams or engaged with clients directly to showcase your collaborative spirit.
