Data scientist in a dating app

Muzz; Greater London; On-site; GBP 80,000 - 90,000; Full time

Benefits offered by this job

Salary £80k-£90k

Full-time

Private healthcare (UK)

Equity

Learning day off per month

International travel

Regular socials

33 days holiday

Job summary

Muzz is seeking a seasoned Data Scientist to drive personalization and recommendations for millions of users. You will collaborate with product, engineering and growth teams to turn data into strategy and measurable impact.

The role combines hands-on modeling with production ML pipelines and mentoring responsibilities. Based in London, you will apply strong Python/SQL skills, A/B testing know-how, and a commercial mindset to optimize product and marketing while exploring new markets and

Qualifications

• 6+ years as Data Scientist or ML engineer.
• Strong Python and SQL knowledge.
• Experience with personalization models (embeddings, ranking, collaborative filtering).
• Excellent written and verbal communication; able to present to non-technical audiences.
• Commercial mindset with ability to leverage customer insights for marketing and product optimization.
• Experience designing and conducting A/B experiments.
• Proven track record of developing and owning production ML pipelines.

Responsibilities

• Grow the company by expanding into new markets and optimizing products as the company scales.
• Understand user behavior on the platform to generate actionable insights for product and marketing.
• Collaborate with product, engineering and growth teams.
• Own and evolve production ML systems behind personalization and recommendations serving millions of users.
• Mentor analysts and data scientists and help shape technical standards and roadmap.
• Leverage AI tools to enhance workflows and set team-wide best practices.

Skills

Python

SQL

A/B testing

Communication

Commercial mindset

Cross-functional teamwork

ML pipelines

Recommender systems

Embeddings

Tools

BigQuery

Vertex AI

Job description

Описание

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!

Задачи

• 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 and growth teams
• You’ll be a proactive self-starter, driving innovation with a product focus
• You’ll be diving into a range of data to solve our highest impact and complex challenges
• You’ll own and evolve the production ML systems behind our personalization and recommendations serving millions of users
• You’ll use AI tools as a core part of how you work and help set how the wider team gets the most out of them
• You’ll raise the bar for the team – mentoring analysts and data scientists, and helping shape our technical standards and roadmap

Требования

• At least 6 years of experience in a Data Scientist or Machine Learning Engineer role
• Strong Python and SQL knowledge
• Strong grounding in the statistical methods behind personalisation 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
• Будет плюсом: 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

Условия

• £80,000 - £90,000 + equity
• Full Time
• Private healthcare cover (UK)
• Meaningful equity
• A day off per month to learn
• International travel
• Regular socials
• All full-time members get at least 33 days of holiday, regardless of where they live.