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

Apply Now

Data Scientist

Muzz
City of London
5 days ago
Create job alert

We’re looking for a smart and ambitious data scientist, with real entrepreneurial flair to join our team and understand our members and all the metrics that matter. Love numbers and love being commercial? This role presents an opportunity to mold the future of the data science team, explore new ideas and new technologies.

Muzz is the world’s largest Muslim dating and marriage app. We’ve got over 15 million members and have helped more than 600,000 couples get married. We’re on our way to become the first $1 billion Muslim tech brand – but we need your help!

Day to day

  • You’ll be joining a dynamic data science team whose goal is to grow the company and optimize our products as we expand into new markets around the world
  • You’ll be understanding our user behaviour on the platform with a view to generating actionable insights in terms of both product and marketing
  • You’ll work closely with our product, engineering, marketing and user acquisition teams
  • You’ll be a proactive self-starter, driving innovation with a product focus
  • You’ll be working on our production ML models driving product personalization and recommendations
  • You’ll be exploring new ideas and optimization projects, and building MVPs to prove value
  • You’ll be diving into a range of data across marketing and product to solve our highest impact and complex challenges
  • You’ll work alongside the data analysts and data engineer in the data team to clean, transform, and build new datasets
  • At least 5+ years of experience in a Data Scientist, Applied Scientist, or a deeply analytical Product-focused role
  • Strong Python and SQL knowledge
  • Strong knowledge of common statistical methods
  • Excellent written and verbal communication skills and presenting to non-technical audiences
  • Commercial mindset with the ability to harness customer insights to optimise our marketing and products
  • Ability to work flexibly, be organized and manage multiple projects at the same time
  • Ability to work collaboratively in cross-functional teams
  • Passionate about solving complex and challenging data problems
  • Experience in designing and conducting A/B experiments

Nice to have

  • Experience with recommendation systems
  • Familiarity with MLOps tools/practices
  • Experience in consumer-facing mobile-first products

Why join Muzz?

We’re a profitable Consumer Tech startup, backed by Y Combinator (S17) and based in London . Join our fast growing team and work on an amazing product that’s changing the world.

A great product

We’re the leading app in this space with over 12 million members worldwide and counting!

A diverse team

We have people from all walks of life all adding their unique perspective. Muslims and non-Muslims, cat lovers and dog lovers. Everyone is welcome!

Meaningful equity

We’re all working together to succeed and everyone on the team gets a slice of the pie.

A day off per month to learn

We value curiosity, that's why the last Friday of every month is set aside for you to learn and develop.

International travel

We fly the whole team to somewhere amazing twice a year to connect and have fun.

Mini golf, hikes, super competitive Catan nights - we’ve done it all. Maybe you’ll be at the next social?

Generous Holiday / PTO

All full-time members get at least 33 days of holiday, regardless of where they live.

Our hiring process

We pride ourselves on making fast hiring decisions.

Step 1.Step 4.

Interview (in person or remote)

Step 5.

Receive an offer!

Join our team

Click the button below to access the application form. Attach your CV and, optionally, a cover letter to apply. We’ll get back to you as soon as possible.

Having trouble with the form?
Send your application directly to and we'll make sure it gets to the right place!


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.