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- Tasks: Join a dynamic team to analyse data and drive product innovation.
- Company: Muzz, the world's largest Muslim dating app with 15 million members.
- Benefits: Competitive salary, flexible work environment, and opportunities for growth.
- Why this job: Shape the future of data science while making a real impact on users' lives.
- Qualifications: 5+ years in data science, strong Python and SQL skills, and a commercial mindset.
- Other info: Collaborative culture with exciting projects and a chance to explore new technologies.
The predicted salary is between 28800 - 48000 £ per year.
Muzz is the world's largest Muslim dating and marriage app. We have over 15 million members and have helped more than 700,000 couples get married. We are on our way to become the first $1 billion Muslim tech brand – but we need your help!
We are 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. This role presents an opportunity to mould the future of the data science team, explore new ideas and new technologies.
Day to day:
- You will be joining a dynamic data science team whose goal is to grow the company and optimise our products as we expand into new markets around the world.
- You will be understanding our user behaviour on the platform with a view to generating actionable insights in terms of both product and marketing.
- You will work closely with our product, engineering, marketing and user acquisition teams.
- You will be a proactive self-starter, driving innovation with a product focus.
- You will be working on our production ML models driving product personalisation and recommendations.
- You will be exploring new ideas and optimisation projects, and building MVPs to prove value.
- You will be diving into a range of data across marketing and product to solve our highest impact and complex challenges.
- You will work alongside the data analysts and data engineer in the data team to clean, transform, and build new datasets.
Requirements:
- 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 organised 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.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Analyst
Industries: Software Development
Data Scientist in London employer: Muzz
Contact Detail:
Muzz Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Muzz on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Scientist role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. Be ready to discuss your past projects and how you've used data to drive product decisions. Show them you’re not just a number cruncher, but someone who can turn insights into action!
✨Tip Number 3
Don’t forget to showcase your entrepreneurial flair! Think of innovative ideas that could benefit Muzz and be prepared to share them during your interview. They’re looking for someone who can think outside the box and contribute to their growth.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Muzz team. Let’s get you that Data Scientist role!
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and any relevant projects that showcase your analytical skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your entrepreneurial flair aligns with our mission at Muzz. Let us know what makes you tick!
Showcase Your Communication Skills: Since you'll be presenting insights to non-technical audiences, make sure to demonstrate your excellent written communication skills in your application. We love candidates who can simplify complex data concepts!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team. We can't wait to hear from you!
How to prepare for a job interview at Muzz
✨Know Your Numbers
As a Data Scientist, you'll be expected to love numbers. Brush up on your statistical methods and be ready to discuss how you've applied them in past projects. Prepare examples that showcase your analytical skills and how they led to actionable insights.
✨Showcase Your Projects
Have a portfolio of your work ready to share. Highlight any production ML models you've worked on, especially those that drove product personalisation or recommendations. Be prepared to explain your thought process and the impact of your contributions.
✨Communicate Clearly
You'll need to present complex data findings to non-technical audiences. Practice explaining your work in simple terms. Use visuals if possible, and think about how you can make your insights relatable to different teams like marketing and product.
✨Be a Team Player
Collaboration is key in this role. Be ready to discuss how you've worked with cross-functional teams in the past. Share examples of how you’ve driven innovation and contributed to team projects, showing that you're not just a lone wolf but a proactive self-starter.