AI & Data Science Consultant

Allan Webb Ltd; Gloucester; Hybrid; GBP 40,000 - 48,000; Full time

Job summary

A leading engineering consultancy seeks an AI & Data Science Consultant to join their Data Solutions Capability. The role involves mentoring, statistical analysis, and developing AI applications. Candidates should be proficient in Python, R, and Generative AI techniques. Offering a salary of up to £47,500 with a comprehensive benefits package and hybrid working arrangements.

Benefits

Annual bonus scheme

Agile/remote working arrangements

Training and personal development reviews

Electric car scheme

33 days’ annual leave

Qualifications

• Proficient in Python, R, or similar data analysis languages.
• Proficient in Statistics.
• Working Knowledge of tools for building Generative AI applications.

Responsibilities

• Mentor junior members of the team to develop critical thinking and problem-solving skills.
• Design and implement applications using Generative AI.
• Conduct statistical analysis to validate assumptions.

Skills

Python

R

Data Analysis

Generative AI techniques

Statistical Analysis

Predictive Modelling

Tools

Power BI

SQL

ETL Pipelines

Job description

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

We are offering a Permanent Salary of up to £47,500 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 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 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.
• Problem Solving: Apply analytical and critical thinking to solve complex business problems, using data-driven approaches.
• Continual Learning and Development: Keep up to date with the latest trends, tools, and technologies in data science and machine learning, continuously enhancing skills and knowledge.
• Ethical Data Practices: Uphold ethical standards and comply with legal regulations in data handling, ensuring privacy and security of sensitive information. data handling, ensuring privacy and security of sensitive information.

What are we looking for:

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

What can Allan Webb offer you?
Salary of £47,500 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.