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

Apply Now

Data Analytics Manager-MachineLearning,Python,SQL Experience

London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist III, Analytics (B2B Supply Optimisation)

Manager, Data Science & AI - Data Science, Belfast, Derry/Londonderry

Curriculum Manager - Data Science and Analytics

Curriculum Manager - Data Science and Analytics

Data Science Manager (Applied AI)

Data Science Manager (Applied AI)

Data Analytics Manager-MachineLearning,Python,SQL Experience- Inside IR35

Our large global client require a Reporting & Analytics Manager. You will have a strong interest in using Machine Learning within an analytics context to drive decisions in a commercial environment. Ideally our client is looking for someone who wants to work in the Insight space but also wants exposure to improving Machine Learning systems in a B2C environment. Our client is ideally looking for someone has seniority in this space and would be comfortable getting their hands dirty in programming languages. This role is Inside IR35

The successful applicant will be responsible for ensuring customer contact strategy is measurable and end to end translates to commercial impact. while identifying continuous improvement opportunities by analysing datasets against experimentation criteria and performance to drive business impact.

Skills and Experience:

  • Experience in measurement of campaign performance and providing KPI performance scoring
  • A good understanding of mathematical principles and coding languages like Python, R and SQL
    -Experience in working across Digital ecosystem with clear understanding of interconnectivity of Search, Content, Websites, CRM, Channels & Platforms
  • Knowledge of segmentation techniques
    -Strong problem solving and analytical skills
    -Comfortable working in Agile operating model

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.