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- Tasks: As a Data Consultant, you'll analyse data, develop AI solutions, and mentor junior team members.
- Company: Allan Webb Ltd is a leading engineering consultancy with over 60 years of experience in asset optimisation.
- Benefits: Enjoy a salary up to £47,500, remote work options, and a comprehensive benefits package.
- Why this job: Join a supportive, inclusive culture while working on impactful AI and data science projects.
- Qualifications: Proficiency in Python, R, and data analysis techniques is essential; experience with Generative AI is a plus.
- Other info: This role requires SC level security clearance and offers opportunities for professional development.
The predicted salary is between 38000 - 57000 £ per year.
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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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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 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:
– 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)
– 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.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Engineering, Information Technology, and Analyst
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Industries
Engineering Services and Military and International Affairs
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Data Consultant - AI & Data Science employer: Allan Webb
Contact Detail:
Allan Webb Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Consultant - AI & Data Science
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data science, especially around Generative AI technologies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of AI and data science. Attend relevant meetups or webinars, and connect with current employees at Allan Webb on platforms like LinkedIn to gain insights about the company culture and expectations.
✨Tip Number 3
Prepare to discuss your experience with data visualisation tools and techniques. Being able to showcase how you've used these tools to derive insights from data can set you apart from other candidates.
✨Tip Number 4
Brush up on your problem-solving skills and be ready to tackle case studies or hypothetical scenarios during the interview. Demonstrating your analytical thinking process can highlight your suitability for the role.
We think you need these skills to ace Data Consultant - AI & Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Consultant role. Focus on your proficiency in Python, R, and any experience with Generative AI techniques.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data science. Mention specific projects or experiences that demonstrate your analytical expertise and problem-solving skills.
Showcase Your Technical Skills: In your application, clearly outline your technical skills related to data processing, statistical analysis, and machine learning. Use examples to illustrate how you've applied these skills in previous roles.
Highlight Collaborative Experience: Since the role involves collaboration with various teams, emphasise any past experiences where you worked effectively in a team setting. This could include mentoring junior members or contributing to group projects.
How to prepare for a job interview at Allan Webb
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, R, and any other relevant data analysis languages during the interview. Be prepared to discuss specific projects where you've applied these skills, especially in areas like data cleaning, statistical analysis, and predictive modelling.
✨Demonstrate Your Understanding of Generative AI
Since the role involves working with Generative AI technologies, be ready to explain your experience with large language models, prompt engineering, and Retrieval-Augmented Generation. Discuss how you've used these techniques in past projects to solve real-world problems.
✨Prepare for Problem-Solving Scenarios
Expect to face analytical problem-solving scenarios during the interview. Practice articulating your thought process when tackling complex data challenges, and be ready to showcase your critical thinking skills through examples from your previous work.
✨Emphasise Collaboration and Communication
As the role requires collaboration with various teams, highlight your communication skills and experiences working in team settings. Share examples of how you've effectively communicated data insights to stakeholders and contributed to team projects.
