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

Apply Now

German, Italian or Spanish speaking Insight Analyst

London
6 months ago
Applications closed

Related Jobs

View all jobs

Energy Trading Data Engineer: Forecasting & Pipelines

Trading Data Engineer

Trading Data Engineer

Senior Data Engineer - Data/Backend

Data Analyst

Data Scientist - Lending Strategy DE

An exciting opportunity has arisen for German, Italian, or Spanish-speaking Digital Marketers to join a renowned Digital Marketing Agency in Central London!
If you are passionate about digital marketing, insight analysis, social listening, and consumer behaviour analysis, send your CV without delay to join an international, dynamic, and friendly team!

Your responsibilities will include:

Identify trends and themes in consumer attitudes, perceptions, and behaviours for well-known products and services.
Utilise large datasets and analytics tools (e.g., Brandwatch & Audiense) to uncover key information and provide actionable insights.
Collaborate internally across Insights, Data Science, and Strategy teams to create visually compelling and concise reports for client stakeholders.
Deliver impactful presentations of key findings to clients.About you:

In order to succeed in this role, it is essential for you to have strong research and analysis skills, be passionate about digital marketing, social listening, and have previous experience or knowledge of tools such as Google Analytics, Brandwatch, or Audiense. This is a fantastic opportunity for a German, Italian, or Spanish speaker to work with some of the most renowned brands in the FMCG industry!

Profile:

Fluent in German, Spanish, or Italian and English, both written and spoken.
Passionate about understanding human behaviour and turning data into impactful stories.
Great communication skills and detail-oriented.
Capable of self-motivation, multitasking, and effective prioritisation.
Excellent team player.To apply, please send your CV in English and in Word format to Viktoriia.
languagematters is acting as an employment business in relation to this vacancy

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.