Data Consultant - AI & Data Science in London

Data Consultant - AI & Data Science in London

London Full-Time 47500 - 66500 £ / year (est.) No working from home possible
Allan Webb

At a Glance

  • Tasks: Leverage AI and data science to create innovative solutions and mentor junior team members.
  • Company: Join Allan Webb, a leading engineering consultancy with a commitment to ethics and sustainability.
  • Benefits: Enjoy a competitive salary, remote work options, and extensive professional development opportunities.
  • Other info: Inclusive culture with strong support for personal growth and career advancement.
  • Why this job: Make a real impact in AI and data science while working on exciting projects.
  • Qualifications: Proficiency in Python, data analysis, and generative AI techniques required.

The predicted salary is between 47500 - 66500 £ per year.

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 growth 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, you 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.

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.

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 in 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.

Data Consultant - AI & Data Science in London employer: Allan Webb

Allan Webb Ltd is an exceptional employer, offering a dynamic hybrid work environment that champions flexibility and employee wellbeing. With a strong commitment to professional development, including comprehensive training and mentoring programmes, employees are empowered to grow their skills in the rapidly evolving field of AI and data science. The inclusive culture, coupled with a robust benefits package and a focus on ethical practices, makes Allan Webb a rewarding place to build a meaningful career.

Allan Webb

Contact Details:

Allan Webb Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Consultant - AI & Data Science in London

Tip Number 1

Network like a pro! Reach out to your connections in the AI and data science field. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the industry. You never know where a casual chat might lead!

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, R, or Generative AI. This is your chance to demonstrate your analytical prowess and problem-solving abilities to potential employers.

Tip Number 3

Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly and concisely. Remember, they want to see how you approach problems, not just the final answer!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Data Consultant role!

We think you need these skills to ace Data Consultant - AI & Data Science in London

Python
R
Statistical Analysis
Data Processing
Data Cleaning
Data Management
ETL Pipelines

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Data Consultant role. Highlight your experience with AI, data science, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!

Showcase Your Skills:Don’t just list your skills—demonstrate them! Use specific examples from your past work that showcase your proficiency in Python, data analysis, and generative AI techniques. This helps us see your practical experience in action.

Be Clear and Concise:When writing your application, keep it clear and to the point. Avoid jargon unless it's necessary, and make sure your passion for AI and data science shines through. We appreciate straightforward communication!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the details about the role and our company culture there!

How to prepare for a job interview at Allan Webb

Know Your Data Tools

Make sure you’re well-versed in the tools and languages mentioned in the job description, like Python, R, and SQL. Brush up on your data processing and visualisation skills, as you'll likely be asked to demonstrate your proficiency during the interview.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've applied analytical thinking to solve complex problems. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your critical thinking abilities.

Understand Generative AI

Since the role involves working with Generative AI technologies, make sure you can explain concepts like large language models and prompt engineering. Be ready to discuss how you’ve used these technologies in past projects or how you would approach them in this role.

Cultural Fit Matters

Allan Webb values an inclusive and innovative workplace, so be prepared to discuss how you align with their corporate social responsibility values. Share your thoughts on teamwork, mentoring, and how you contribute to a positive work environment.