Senior Consultant Data Scientist

Job Description

### About [Employer hidden — view at passion-project.co.uk]

At [Employer hidden], we understand that project delivery is getting increasingly complex. Since 2013, we’ve been helping companies of all sizes improve the way projects are delivered.

Our mission is to be the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate project professionals—all seeking to improve the way projects are delivered.

Our vision is simple yet powerful: to improve the lives of people everywhere through the delivery of projects. We provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery.

We’re proud to have been named Winners of the Global Project Controls Innovation of the Year Award 2024.

### Why Join [Employer hidden]?

[Employer hidden] is in an exciting period of growth, and there’s never been a better time to be part of our journey. We’re building something special—scaling our business while staying true to our people-first approach.

At [Employer hidden], we invest in our teams, fostering an environment where development is valued and individuals are encouraged to grow with the company. Our unique culture sets us apart from other consulting practices, and we’re keen to build a team that is as ambitious as we are.

### Our IDEAL Values:

• Integrity – We do the right thing, always.
• Drive – We push boundaries and strive for excellence.
• Empathy – We care deeply about our people and clients.
• Adaptability – We embrace change and thrive in it.
• Loyalty – We stand by each other and our mission.

### Job Summary

About the Role

[Employer hidden] is seeking a Senior Data Scientist who combines analytical rigour with creative problem-solving. You will work at the intersection of traditional data science and modern AI, developing solutions that help our clients across infrastructure, utilities, and defence turn complex data into actionable intelligence. You will be hands-on in building Generative AI applications, deploying Retrieval-Augmented Generation (RAG) architectures, and shaping the next generation of data-driven tools within [Employer hidden]'s innovation ecosystem.

Core Responsibilities

• Design and implement end-to-end data science solutions, from data mapping and cleaning to model deployment.
• Develop and fine-tune Generative AI applications, including chat-based tools, summarisation systems, and knowledge assistants.
• Build and manage RAG pipelines, integrating LLMs with enterprise data sources to deliver accurate, context-aware outputs.
• Work closely with data engineers to ensure scalable, production-ready deployments within Azure environments.
• Collaborate with analysts and business teams to translate analytical insights into practical outcomes.
• Evaluate new techniques in AI and machine learning, driving [Employer hidden]'s capability forward through experimentation and continuous learning.
• Mentor junior data scientists and contribute to knowledge sharing across the team.

### Technical Stack

Core:

• Python (Pandas, NumPy, scikit-learn, LangChain)
• Azure Machine Learning
• Azure Cognitive Services
• Azure OpenAI
• Databricks
• Power BI

Enhancements:

• Vector databases (FAISS, Pinecone, Azure AI Search)
• RAG architectures, prompt engineering
• REST APIs
• MLflow
• Hugging Face Transformers

Desirable:

• Microsoft Fabric
• Docker
• CI/CD with Azure DevOps
• Data versioning (DVC, Git LFS)
• Power Automate integration for AI workflows

What You'll Bring

• Hands-on experience in data science or applied machine learning.
• Strong understanding of Generative AI, LLMs, and RAG principles.
• Experience with data mapping, feature engineering, and end-to-end ML lifecycle management.
• Proficiency across Microsoft's Azure AI and data ecosystem, with an eagerness to adopt Fabric and other emerging technologies.
• A curious, pragmatic approach that balances experimentation with delivery.
• A commitment to [Employer hidden]'s IDEAL values: Integrity, Drive, Empathy, Adaptability, and Loyalty.

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#### Phone: +44(0)2035 763 880 Email: [contact hidden]

Office Address: Unit 3 Knot House, 6 Brewery Square, London SE1 2LF

[Employer hidden] Group Limited is registered in England and Wales number: 08603258 VAT No: GB 168982251

#### Corporate Policies

• Environmental Policy
• Quality Policy
• Health, Safety & Wellbeing Policy
• Corporate Social Responsibility
• Human Rights & Fair Labour Policy
• Anti-corruption, Bribery and Fraud Management Policy
• Modern Slavery & Human Trafficking Statement

#### Core Services

• Strategic Advisory
• Tech & Data
• Digital Project Controls
• Training