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

Apply Now

Marketing Data Scientist

Understanding Recruitment
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Marketing Data Scientist - MMM & Impact Analytics

Marketing Data Scientist - Renewable Energy Provider (Client Side)

Senior Marketing Data Scientist

Senior Marketing Data Scientist

Strategic Marketing Data Scientist — Causal Insight & Growth

Senior Marketing Data Scientist

Data Scientist - Energy Tech Start Up - London

A fast-growing startup revolutionising the energy sector are looking for talented Data Scientists to join their team.



Youll be at the forefront of data science innovations in the energy sector, working on projects that directly impact climate change through:



Developing and deploying machine learning models for energy optimisation

Analysing complex time-series data to drive insights and decision-making

Strong background in data science and machine learning, particularly with time-series data

Python expertise with experience in deploying models to production

Opportunity to work on cutting-edge projects with tangible environmental impact

Significant ownership of your work and clear career growth path

Hybrid working arrangement (2-3 days in London office)



Please apply now for immediate consideration!

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.