Consultant Data Scientist

Job Description

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 Data Scientist with practical experience in analytics and machine learning. You will work at the intersection of data science and AI, developing solutions that help our clients across infrastructure, utilities, and defence sectors derive actionable intelligence from complex data. You will contribute to projects involving both traditional analytics and modern AI technologies, including Generative AI applications.

Core Responsibilities

• Develop end-to-end data science solutions, from data preparation to model deployment.
• Build analytical models and contribute to AI applications, including LLM-based tools.
• Work with Azure Machine Learning and Azure OpenAI to deliver client solutions.
• Collaborate with data engineers to ensure solutions are scalable and production-ready.
• Engage with business teams to understand requirements and communicate findings effectively.
• Stay current with developments in AI and machine learning through continuous learning.

Technical Stack

Core:

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

Enhancements:

• LangChain basics
• Prompt engineering
• Azure Cognitive Services
• MLflow

Desirable:

• RAG architectures (introductory)
• Vector databases
• Databricks
• Hugging Face Transformers

What You'll Bring

• Hands-on experience in data science or applied analytics.
• Solid Python programming skills and understanding of machine learning fundamentals.
• Growing familiarity with AI technologies, particularly LLMs and Azure OpenAI.
• Experience with data preparation, feature engineering, and model evaluation.
• Good communication skills and ability to explain technical concepts to non-technical audiences.
• 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