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About the Role
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 800,000 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
- 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
- Understanding our user behaviour on the platform with a view to generating actionable insights in terms of both product and marketing
- Working closely with our product, engineering and growth teams
- Being a proactive self-starter, driving innovation with a product focus
- Diving into a range of data to solve our highest impact and complex challenges
- Owning and evolving the production ML systems behind our personalization and recommendations serving millions of users
- Using AI tools as a core part of how you work and help set how the wider team gets the most out of them
- Raising the bar for the team - mentoring analysts and data scientists, and helping shape our technical standards and roadmap
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
- At least 5 years of experience in a Data Scientist or Machine Learning Engineer role
- Strong Python and SQL knowledge
- Strong grounding in the statistical methods behind personalization and recommendations models - e.g. embeddings, ranking, collaborative filtering
- 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 collaboratively in cross-functional teams
- Passionate about solving complex and challenging data problems
- Experience in designing and conducting A/B experiments
- A proven track record of developing and owning production ML pipelines - including data processing, deployment, monitoring, retraining
- Demonstrated end-to-end ownership of significant ML projects - from framing the problem to shipping it, and through the messy realities of live performance, edge cases and iteration once real users hit it
Nice to Have
- Hands-on experience with recommender systems, with real-time or near-real-time updates and serving
- Experience in consumer-facing mobile-first products
- Experience with GCP platform - BigQuery/VertexAI
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 15 million members worldwide and counting!
- Level up quickly - Work with talented, generous people on the kinds of challenges you’ll be proud to share.
- 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 hackathon every quarter - We value curiosity and building something wacky (but useful!). Every quarter we organise into random teams and together we build, code, and prototype. Prizes and dinner complete the day!
- International travel - We fly the whole team to somewhere amazing twice a year to connect and have fun.
- Regular socials - 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.


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Interview Process
- Submit your CV
- An initial video call
- Complete a technical exercise
- Interview (in person or remote)
- Receive an offer!
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