Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Science Consultant

Graduate Recruitment Bureau
London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Science Consultant

Lead Data Science Consultant

Managing Consultant - Transport - Data Science

Managing Consultant - FS - Data Science and AI

Managing Consultant - FS - Data Science and AI

Managing Consultant - FS - Data Science and AI

Join a consultancy where creativity meets strategy to spark game-changing impact. They partner with visionary, customer-driven brands to fuel sustainable growth, designing and orchestrating experiences that scale, powered by the perfect blend of data, technology, and human insight.

They don’t just imagine the future of customer experience, they invent it. From groundbreaking business models and market-defining products to unforgettable services, brand moments, and communications, this is where innovation takes shape.

You will work amongst courageous thinkers and joyful problem-solvers, united by a love of making life better for people everywhere. Their culture is open, flexible, and inclusive, giving you the freedom to bring your authentic self and make your mark. You’ll have the space to experiment, the tools to deliver, and the teammates to cheer you on. 

**What You’ll Get to Do**

Step into a role where cutting-edge AI meets real-world impact. You’ll be at the forefront of data science, shaping how Generative AI and Large Language Models (LLMs) redefine customer experiences across industries.

Innovate with Generative AI & LLMs - build, evaluate, and refine intelligent solutions for diverse, high-impact use cases Turn insights into action - dive deep into customer behaviour analytics, marketing, commercial, web, and product data to uncover game-changing opportunities Engineer advanced models - from predictive and forecasting to classification and deep learning, your work will power smarter, faster decisions Work with rich, varied data - transactional/EPOS, digital, social, loyalty and more - harnessing it all to tell compelling stories through data Code with confidence - put your Python expertise to work on cloud-based platforms and cutting-edge ML tools Collaborate to create - partner with cross-functional teams to understand business challenges and deliver solutions that truly move the needle Lead the journey from idea to impact - manage projects from POC and MVP stages through to production-ready deployments Inspire and grow talent - mentor, guide, and develop a high-performing team that shares your passion for AI and innovation

Here, you won’t just be working with AI - you’ll be shaping its role in transforming customer experiences.

**Your Experience**

Proven expertise in Generative AI & Large Language Models (LLM) - from hands-on development to rigorous evaluation Data-driven storyteller with experience in customer behaviour analytics, marketing, commercial, web, or product analytics Deep domain insight in marketing, customer, digital, or commercial sectors, turning knowledge into impact Leadership that delivers - exceptional project management skills paired with the ability to inspire and guide a high-performing team

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.