Principal Data Scientist - User Insights

Client Server
London
1 year ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist: Scale ML for Audiences (Hybrid)

Principal Data Scientist: ML Leader, Mentor, Hybrid Role

Principal Data Scientist London / WFH / Remote to £125k

Do you have expertise with using Data Science to glean valuable insights on user behaviour?

You could be taking on a high profile role at one of Europe's most successful audio content platforms with 176 million active users and ambitious growth plans to become the world's number one music streaming service.

As a Principal Data Scientist you'll join a small, talented team responsible for providing actionable insights and data products around user behaviour. You'll collaborate with business stakeholders to understand requirements and drive revenue goals, using data insights to enhance customer and artist onboarding and retention.

This is a highly technical role where you'll be building, productionising and scaling feature stores, working with end-to-end data and machine learning pipelines; you'll create predictive, clustering and casual models in the production environment.

You will partner closely with business stakeholders to identify requirements, prototype and test ideas in a collaborative, international team environment.

Location / WFH:

The company has offices in London and Berlin; you'll be able to work from home most of the time, meeting up with colleagues in London every other month and travelling to Berlin three times a year for company meet-ups and socials (expenses paid).

About you:

You have a strong record of academic achievement, 2.1 or above at BSc, Lilley to have completed MSc in Computer Science, Mathematics or a quantitative scientific discipline You have strong commercial experience as a Data Scientist working on production systems You have experience of creating models, uncovering drivers and generating insights related to platform user behavior and engagement, such as churn/retention propensity, affinity, and user personas for large scale web based companies You have expertise with SQL and Python (including scientific libraries such as NumPy, Pandas, SciPy) and a good knowledge of Machine Learning models and algorithms You have strong Data Visualisation skills and can comfortably convey complex information to business stakeholders

What's in it for you:

As a Principal Data Scientist you will earn a competitive package including:

Salary to £125k Potentially very valuable company stock Flexible vacation and public holidays allowing you 35 days of annual leave Creativity and Wellness package covering everything from gym memberships, photography, language courses, books Professional development allowance covering things like books, conferences and training Enhanced maternity and paternity leave Fertility and family building assistance Continual learning and development opportunities

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.

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

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.