At a Glance
- Tasks: Drive data-driven decisions and develop machine learning systems for millions of users.
- Company: Join Muzz, a leading Muslim matrimony platform backed by Y Combinator.
- Benefits: Competitive salary, equity ownership, 33+ days leave, and monthly learning days.
- Other info: Enjoy a hybrid work model and bi-annual international team trips.
- Why this job: Make a real impact on user experiences while mentoring junior talent.
- Qualifications: 5+ years in Data Science, strong Python and SQL skills required.
The predicted salary is between 80000 - 90000 £ per year.
Muzz is a leading Muslim matrimony platform with over 12 million members worldwide, backed by Y Combinator. We're seeking an experienced Senior Data Scientist to join our team in London on a hybrid basis (3 days per week at our Aldgate office).
About the Role:
As Senior Data Scientist, you will drive data-driven decision-making across the organization. You'll analyse user behaviour patterns to generate actionable insights for product and marketing teams, develop production-ready machine learning systems that serve millions of users, and own the personalization and recommendation features that are core to our matching experience. You will also mentor junior team members, design and execute comprehensive A/B testing and experimentation programmes, and take end-to-end ownership of ML projects from conception through deployment and monitoring.
Key Responsibilities:
- Analyse user behaviour and generate insights for product and marketing teams
- Collaborate with product, engineering, and growth departments
- Develop and maintain production ML systems serving millions of users
- Own personalization and recommendation features for user matching
- Mentor junior data scientists and analysts
- Design and execute A/B tests and experimentation programmes
- Drive end-to-end ML project ownership from conception to monitoring
Required Qualifications:
- Minimum 5 years of experience as a Data Scientist or ML Engineer
- Strong proficiency in Python and SQL
- Deep expertise in personalization and recommendation systems (embeddings, ranking models, collaborative filtering)
- Excellent communication skills for technical and non-technical stakeholders
- Proven commercial acumen and business focus
- Demonstrated experience designing and executing A/B tests
- Track record of managing production ML pipelines
Preferred Qualifications:
- Hands-on experience with real-time recommender systems
- Background working on consumer mobile-first products
- Proficiency with Google Cloud Platform tools including BigQuery and VertexAI
What We Offer:
- Competitive salary with equity ownership
- 33+ days annual leave
- Monthly learning day
- Bi-annual international team trips
- Inclusive and diverse workplace culture
- Hybrid work arrangement (3 days per week at London office)
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Ummahjobs!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Scientist at Ummahjobs.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ummahjobs.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist at Ummahjobs, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ummahjobs, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ummahjobs. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ummahjobs
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ummahjobs!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
