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- Tasks: Lead data science projects, delivering machine learning and analytical solutions for real-world impact.
- Company: Dynamic consulting firm focused on sustainable change and client success.
- Benefits: Competitive salary, flexible working, 25+ days leave, and wellness perks.
- Why this job: Join a supportive team and make a difference with cutting-edge data science.
- Qualifications: 4+ years in data science, strong Python and SQL skills, and consulting experience.
- Other info: Exciting growth opportunities in a collaborative and inclusive environment.
The predicted salary is between 55000 - 75000 £ 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. Moorhouse is currently unable to offer visa sponsorship for this role.
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 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.
Responsibilities
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.
Essential skills
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 (LLMs) 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.
What we can offer you:
- 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.
- A culture free from quotas or forced performance curves, we reward performance consistently and transparently so everyone knows where they stand.
- Flexible working arrangements, with offices near Liverpool Street, and opportunities to spend time on client site as part of a collaborative team.
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.
Senior Consultant – Data Science in London employer: Moorhouse
Contact Detail:
Moorhouse Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant – Data Science in London
✨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 directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Whether it's machine learning models or dashboards, 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 case studies. We recommend doing mock interviews with friends or using online platforms. The more comfortable you are discussing your experience and skills, the better you'll perform!
✨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 our team at Moorhouse and contributing to our culture of success together.
We think you need these skills to ace Senior Consultant – Data Science in London
Some tips for your application 🫡
Show Your Passion for Data Science: When writing your application, let your enthusiasm for data science shine through! Share specific examples of projects you've worked on and how they made a difference. We love seeing candidates who are genuinely excited about using data to drive change.
Tailor Your Application: Make sure to customise your application to highlight the skills and experiences that align with our job description. We want to see how your background in Python, SQL, and machine learning fits into our vision at Moorhouse. A little effort goes a long way!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your ideas effectively. Remember, we’re looking for team players who can translate complex concepts into actionable insights!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, it shows you’re keen to join our team!
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 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.
✨Showcase Your Consulting Skills
Since this role involves client engagement, practice explaining complex data science concepts in a straightforward way. Think of examples where you've successfully communicated insights to non-technical stakeholders, and be prepared to discuss how you balance technical delivery with client needs.
✨Prepare for Ethical Discussions
Familiarise yourself with data privacy, GDPR, and responsible AI principles. Be ready to discuss how you've navigated ethical considerations in your past work, and how you would approach these issues in a consulting environment.
✨Demonstrate Team Spirit
Moorhouse values collaboration and a supportive culture, so think of examples that highlight your teamwork skills. Be prepared to share how you've mentored junior colleagues or contributed to a positive team dynamic in previous roles.
