Data Scientist

Muzz
City of London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

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

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 Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.