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

Apply Now

Data Analyst (Customer Insights)

Pertemps
Southend-on-Sea
6 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Customer Data Analyst – Temp 3-6 months | £28.00 - £37.00 per hour | London/Hybrid
Are you a data enthusiast ready to make an impact? A leading British multinational insurance company is on the lookout for aCustomer Data Analystto join our award-winningCustomer Scienceteam at our City of London headquarters!

Why Join Us?
We harness the power of data to truly understand our customers—driving smarter decisions and delivering exceptional customer and commercial outcomes. If you’re passionate about data-driven insights, customer behavior, and meaningful analytics, this is your chance to contribute in a dynamic, forward-thinking environment!

The Role
We’re looking for a skilledCustomer Data Analystto deliver high-quality analytics, uncover customer trends, and play a key role in shaping our company’s success. Your day-to-day will include: ✔Coding & data analysis– working with large datasets to derive meaningful insights ✔Translating complex data– making analytics accessible for stakeholders ✔Helping drive strategic decisions– using data to power innovation

What You’ll Need
Education– Degree or postgraduate qualification in a numerate or programming-oriented subject (or equivalent industry experience) ✅Tech Skills– Strong SQL proficiency (Python/R a bonus) and ability to manipulate and prepare large datasets ✅Communication Skills– Ability to simplify complex concepts for diverse audiences ✅Analytical Expertise– Some experience or interest in hypothesis testing and statistical methods ✅Passion & Collaboration– A positive, proactive team player who thrives on partnering with stakeholders to create impactful insights
💡Start ASAP!This interim role is for an initial 3-month period, subject to security checks.
Come be part of a team that’s transforming customer insights into actionable strategies—apply today!

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.