Job Description

Allan Webb Ltd are now looking to recruit an

AI & Data Science Analyst

to be part of their dedicated Data Solutions Capability.

We are offering a Permanent Salary of up to 35,000 depending on experience.

This is a Hybrid based role with occasional days at our Office in Gloucester candidates are required to be located within a commutable distance.

What can the Role offer you & your Career?

This is a fantastic opportunity ideal for someone with foundational analytical expertise, eager to learn and grow in the field of AI & data science. The AI & Data Science Analyst will support our AI and Data Science Consultants 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.



Were 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. Whats more, were 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 Analyst you will assist in analysing large sets of structured and unstructured data to support our AI & data science solutions. This includes the application of Generative AI technologies, such as large language models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and prompt engineeringto build intelligent tools and enhance knowledge-based workflows.


This is a fantastic opportunity ideal for someone with foundational analytical expertise, eager to learn and grow in the field of AI & data science. You will will collaborate with various teams to contribute to both internal and client projects.

You will be involved in:

Best Practices and Standards: Learn and apply data science best practices and standards across your projects. Generative AI Development: Assist in the design and implementation applications using Generative AI, including LLM-based workflows, RAG architectures, and prompt engineering approaches. 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 visualisations to represent data findings. Utilising python libraries and dashboarding tools like Power BI to make complex data understandable. Insight Generation and Reporting: Extract meaningful insights from data analyses and communicate these findings to stakeholders through reports, presentations, and dashboards. Ethical Data Practices: Uphold ethical standards and comply with legal regulations in data handling, ensuring privacy and security of sensitive information.

What are we looking for:

Working Knowledge of Python, R, or similar data analysis languages & statistics. Working Knowledge of in Data Processing and Data Cleaning. Awareness of Data Management and ETL Pipelines. Working Knowledge of Data Analysis, Data Visualisation and Data Story Telling. Analytical Problem Solving and Critical Thinking. Awareness of Generative AI techniques, including the use of large language models (LLMs) and prompt engineering plus developing applications using Retrieval-Augmented Generation (RAG) approaches. Experience of tools and frameworks for building Generative AI applications (e.g., agentic AI, orchestration frameworks, embedding models, vector databases). Working Knowledge of Machine Learning and Predictive Modelling. SQL and Relational Databases.

What can Allan Webb offer you?

Salary of 35,000 per annum, depending on experience.

Comprehensive benefits package that includes:

- Annual bonus scheme

- Agile/remote working arrangements

- Regular training and personal development reviews

- Investment in professional qualifications and training

- Mentoring and coaching programmes

- Inclusive and supportive work environment

- Active ED&I networks and initiatives

- Electric car scheme

- Cycle to work scheme

- Access to Perkbox (providing over 9,000 perks and benefits)

- EAP - a confidential 24/7 service

- Employee Referral Bonus [1,000 following probation]

- 33 days annual leave (inc. Bank Holidays)

- Option to purchase additional annual leave

- Payment for Professional Membership

- Access to pioneering defence CIS programmes

- Opportunities to shape next-generation land comms support solutions

- Professional development, training and industry-recognised upskilling

- Inclusive team culture and consultancy leadership opportunities


Please note, you will require the right to work in the UK. The successful candidate will also need to hold SC level security clearance.



Allan Webb Ltd are equal opportunities employers, value diversity and are strongly committed to providing equal employment opportunities for all employees and all applicants for employment. Equal opportunities are the only acceptable way to conduct business, and we believe that the more inclusive our environments are, the better our work will be.