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

Apply Now

Gain Theory | Principal Data Scientist

Gain Theory
East London
10 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer - Graph Data Science

Postdoctoral Research Associate in Network Data Science, Statistics and Probability - London...

Machine Learning Scientist II

Data Science & Engineering Platformer

Data Science and AI Industrial Placement (Manchester)

Data Science and AI Masters Placement Scheme (Bristol)

What we doGain Theory is a global marketing effectiveness and foresight consultancy. Our vision is to accelerate growth for ambitious brands by giving clients the confidence to make better data-informed investment decisions. High-touch consultancy powered by unique partnerships and proprietary technology is used to power our award-winning solutions.As a WPP consultancy, Gain Theory also has access to a range of data, expertise, and tools that create a truly differentiated offering.Who we areWe are a people-centric organisation whose culture is underpinned by 4 important values: Be Curious, Be Positive, Make it Better and Act with Consideration. We channel these values through our behaviours, in the way we work, and in the interactions we have with each other and our clients.About you and what you’ll doWe are seeking a Principal Data Scientist to provide crucial support to our Innovation Technology Lead in developing cutting-edge prototypes and proof-of-concepts (POCs) for our new business team. This role will assist in exploring and demonstrating innovative solutions across various technological domains, including AI, synthetic data generation, advanced statistical modeling, and emerging technologies.The ideal candidate will have a strong analytical background, be eager to learn new technologies quickly, and possess the ability to translate complex concepts into actionable insights. This position offers an excellent opportunity to work at the forefront of innovation in marketing analytics while supporting senior-level prototype development.This role offers an exciting opportunity to work alongside innovative leaders, gain hands-on experience with cutting-edge technologies, and contribute to the development of groundbreaking solutions in marketing analytics. The Principal Analyst will play a crucial part in supporting the Innovation Technology Lead's efforts to drive new business opportunities through technological innovation.Key ResponsibilitiesAssist the Innovation Technology Lead in researching and identifying new technological trends and potential applications in marketing analyticsSupport the rapid development of prototypes and POCs by gathering and preparing data, conducting initial analyses, and assisting with basic coding tasksHelp in the integration of APIs and technologies into prototype applications under the guidance of the Innovation LeadConduct literature reviews and summarize findings on emerging statistical models, algorithms, and methodologies relevant to ongoing projectsAssist in the preparation of presentations and demonstrations for both technical and non-technical audiencesPerform basic testing and validation of prototypes and POCs, including data quality checks and simple sensitivity analysesAid in the documentation of prototype development processes, methodologies, and resultsCollaborate with cross-functional teams to gather requirements and feedback for prototype iterationsSupport the Innovation Lead in quick turnaround projects by managing timelines, coordinating resources, and tracking project progressContribute to the ideation process for new prototype concepts and potential applications of emerging technologiesRequired SkillsProficiency in Python with a willingness to learn from othersExperience with and understanding of AI, machine learning concepts, and statistical modelling techniquesExperience with and understanding of LLMs and RAG techniquesFamiliarity with data visualization tools and techniquesStrong analytical and problem-solving skillsExcellent communication skills, both written and verbalAbility to work effectively in a fast-paced, collaborative environmentKeen interest in emerging technologies and their potential applications in businessExperience with and understanding of cloud platforms (Azure/AWS/GCP) and their capabilitiesFamiliarity with version control systems like GitExperience with rapid prototyping or agile development methodologiesKnowledge of marketing analytics and related business challengesFamiliarity with advanced statistical conceptsExperience in creating data visualizations and dashboards for non-technical audiencesWhy work for us?Gain Theory is committed to actively building a diverse, equitable and inclusive workplace where everyone feels welcomed, valued and heard, and is treated with dignity and respect. As leaders and creative partners across industries, it is our responsibility to cultivate an environment reflective of our greatest asset; our people. We believe that this commitment inspires growth and delivers equitable outcomes for everyone as well as the clients and communities we serve.Gain Theory is a WPP-owned consultancy. For more information, please visit our website and follow Gain Theory on our social channels via LinkedIn and Twitter

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

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.