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

Apply Now

Data Analyst

Formula Recruitment
London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Contract Data Analyst | Up to £350 Outside IR35 | Fully Remote (UK) | 3 months (rolling)


We’re looking for a Contract Data Analyst to join our rapidly expanding health tech customer.


As a Contract Data Analyst, you will be helping transform data into clear insights and smarter decisions. You’ll define and refine core business metrics, build high-quality dashboards, and connect data directly to outcomes across product, commercial, finance, and growth areas.


Key Responsibilities:

  • Build dashboards in Tableau and Metabase for clarity and self-service.
  • Automate reporting and simplify access to key business numbers.
  • Provide context behind the metrics: why they move, and what drives them.


Key Skills:

  • Experience with BI tools (Tableau, Metabase)
  • SQL, Python
  • DBT


Contract Details:

  • Up to £350 per day, Outside IR35
  • 3 months (rolling)
  • Fully remote (UK)


If you're a Contract Data Analyst who wants to do more than report numbers, and instead shape how data drives strategy and growth, then this is the role for you.


Please note: Due to the high volume of applications, unfortunately, we may not be able to provide feedback to all applicants.


Contract Data Analyst | Up to £350 Outside IR35 | Fully Remote (UK) | 3 months (rolling)

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 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.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.