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Data Consultant - AI & Data Science

Job in Newcastle upon Tyne, Newcastle, Tyne and Wear, SY7, England, UK
Listing for: Allan Webb
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Science Manager, Data Scientist
Salary/Wage Range or Industry Benchmark: 47500 GBP Yearly GBP 47500.00 YEAR
Job Description & How to Apply Below
Location: Newcastle upon Tyne

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This range is provided by Allan Webb. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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Direct message the job poster from Allan Webb

Talent Acquisition Partner | Recruitment, Resourcing, Stakeholder Partnering, HR Co-ordination

Allan Webb Ltd are now looking to recruit an AI & Data Science Consultant to be part of their dedicated Data Solutions Capability.

This is a Hybrid based role offering a Permanent Salary of up to £47,500 depending on experience.

What can the Role offer you & your Career?

This is a fantastic opportunity ideal for someone with foundational analytical expertise, eager to continue their grown and apply their expertise in the field of AI & data science. The AI & Data Science Consultant will support our AI and Data Science Team and collaborate with various teams to contribute to both internal and client projects.

A bit about us

At Allan Webb Ltd, we are a leading engineering consultancy with over 60 years of experience delivering asset optimisation services to clients across the defence, government, energy, pharmaceutical, and aerospace sectors, both in the UK and internationally.

We’re committed to conducting all our activities ethically, with a strong focus on human rights, sustainability, and social responsibility. Our Corporate Social Responsibility (CSR) policy reflects this commitment, ensuring we operate in a way that positively impacts both society and the environment.

We truly champion agile working, believing that flexibility and wellbeing empower our people to perform at their best. What’s more, we’re proud supporters of the Armed Forces community, and we foster an inclusive, innovative workplace where individuals and teams can thrive.

More about the Position

As an AI & Data Science Consultant will be instrumental in leveraging large sets of structured and unstructured data to create data science solutions to improve existing products and contribute to internal and client projects.

This includes the application of Generative AI technologies—such as large language models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering—to build intelligent tools and enhance knowledge-based workflows.

This is a fantastic opportunity ideal for someone with expertise in this area, but eager to learn and adapt in the field of AI & data science as it changes. The AI & Data Science Consultant will collaborate with various teams to contribute to both internal and client projects.

You will be involved in:

  • Mentoring:
    Mentor junior members of the team helping them to develop their critical thinking, problem-solving and technical skills to help them learn to exploit data more effectively.
  • Best Practices and Standards:
    Assist the AI & Data Science Lead in continuing to develop AI & data science best practices and help implement them across our team and projects.
  • Generative AI Development:
    Design and implement applications using Generative AI, including LLM-based workflows, RAG architectures, prompt engineering approaches and agentic AI techniques. Collaborate with stakeholders to identify opportunities where GenAI can streamline tasks, automate insights, or improve decision support
  • Data Collection and Management:
    Gather, process, and manage data from disparate sources. Ensure the accuracy and integrity of data throughout its lifecycle.
  • Data Cleaning and Preprocessing:
    Clean and preprocess data to eliminate irrelevant, redundant, or erroneous information, preparing it for analysis.
  • Statistical Analysis:
    Perform statistical data analysis to understand data characteristics, trends, and patterns. Use statistical methods to validate assumptions and hypotheses.
  • Predictive Modelling:
    Develop predictive models using machine learning algorithms to forecast future trends, behaviours, and outcomes. This involves training, testing, and optimising models.
  • Data Visualisation:
    Create intuitive and insightful…
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