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

Apply Now

Customer Insight Analyst

Morgan Philips Specialist Recruitment
Birmingham
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Data Analyst - Customer Growth (D2C) - AJ Bell

BI Data Analyst

This is a great role as a digital transformation data analyst. Paying up to £55K based in Birmingham 3 days a week and the rest working from home, this is a permanent role.Key responsibilities

  • Creating insights to support decisions for Product Development, Digital and Data transformation programmes and distribute in a variety of formats back to key stakeholders
  • Developing, maintaining, and evolving dashboards which track performance of key workstreams
  • Confident in presenting data and being able to tell the story in a way that is easy to understand.
  • Supporting in the development of new reporting solutions in addition to delivery and enhancement of existing reporting
  • Developing a technical understanding of data and technology systems accessible to include Dynatrace, SQL databases, Google Analytics, Treasure Data, Braze and Azure Cloud Platform.
  • Utilising tools such as, Google Analytics, will be part of your role to analyse web and app data. Also working with the product team making sure all website changes and updates are tracked accordingly.
  • Conducting analysis of multi-channel data sources to build greater understanding of customers and identify business opportunities.

Key skills

  • Must have Advanced SQL querying skills to extract, manipulate and model data
  • Strategic and analytical thinker with strong consumer insight skills used to presenting at senior level...

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.

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

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.