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

Apply Now

Principal Data Analyst

Experis
London
1 year ago
Applications closed

Related Jobs

View all jobs

Principal Geospatial Data Analyst

Principal Geospatial Data Analyst

Senior Azure Data Engineer

Senior Azure Data Engineer

Data Analyst

Data Analyst

Location: City of London Job Type: Contract Industry: Business Transformation Job reference: BBBH386530_1731510433 Posted: about 4 hours ago

Principal Data Analyst

5 months

Remote

£470 per day inside ir35

Active SC clearance required

Role overview:

Demonstrating a deep understanding of exploiting data from a complex technical domain with multiple database technologies, data integration, metadata management, analytics and insight generation

Leading technology teams to adhere to good data modelling, database management principles and data governance Defining and managing technical roadmaps and strategy Following advances in digital analytics tools and data manipulation products Identifying industry recognised data patterns and standards and applying these to any organisation Designing and leading the conceptual, logical and physical design for distributed databases Driving Meta Data Architecture and Master Data Management Solutions Working with Cloud Data technologies, solutions and future Cloud Data Strategies

If you meet the above requirements, please apply for the vacancy to be contacted by an Experis Consultant. If you haven't been contacted within 2 weeks of application, please consider the vacancy closed.

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.