Management Consultant - Senior Consultant - Data Science

Expleo
London, UK
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
£80,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Business Analytics Applications Data Analysis Microsoft Azure Cloud Computing Information Engineering R (Programming Language) Python (Programming Language) KNIME Machine Learning
+13 more
Software Architecture Power BI SQL Databases Tableau (Software) Google Cloud Large Language Models Snowflake Prompt Engineering Generative AI Data Analytics Data Pipelines Docker Databricks

Job description

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.

Requirements

  • 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 & conditions

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.

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. #J-18808-Ljbffr

About the company

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. We get out of the theory and into the detail-working directly with client teams to deliver meaningful, measurable impact.

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. We move fast as a team, and honesty and integrity sit at the heart of how we operate. 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. 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 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 demand for digital and AI-enabled transformation continues to grow, our Data Science team is continuing to grow and shaping some of the most impactful programmes across the firm.

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