German, Italian or Spanish speaking Insight Analyst

London
7 months ago
Applications closed

Related Jobs

View all jobs

Research Engineer, Machine Learning - Paris/London/Zurich/Warsaw

(Senior) Forecasting Data Scientist (m/f/d)

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.

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Education Jobs

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Jobs

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

🍪 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.