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- Tasks: Apply your data expertise to drive insights and improve user experience.
- Company: Join a forward-thinking fintech company with a collaborative spirit.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic teams with diverse projects and excellent career advancement potential.
- Why this job: Make a real impact on products and users while shaping the future of finance.
- Qualifications: Experience in SQL, Python, and conducting A/B experiments.
The predicted salary is between 60000 - 80000 £ per year.
We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future!
What you’ll be working on:
- Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy.
- Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do.
- Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different product features are impacting user profitability.
- Liaise with engineers to keep making sure we collect the right data to produce relevant business insights.
- You are impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well.
- You are commercially minded and can put numbers into business perspective.
- You are as comfortable getting hands-on as taking a step back and thinking strategically.
- You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so.
- You are a team player your colleagues can rely on.
- You have solid grounding in SQL and preferably Python.
- You have experience in conducting large-scale A/B experiments.
Senior Data Scientist employer: Referrals Only
Contact Detail:
Referrals Only Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at events. Ask them about their experiences and the company culture. This can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for those interviews! Research the company’s recent projects and think about how your skills can contribute. Be ready to discuss your past experiences and how they relate to the role you're applying for.
✨Tip Number 3
Show off your skills! If you have a portfolio or any projects that demonstrate your data science expertise, make sure to share them during the interview. It’s a great way to stand out from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Scientist role. Highlight your expertise in quantitative analysis, data mining, and any relevant projects you've worked on that showcase your impact-driven mindset.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about joining our Data Science teams. Share specific examples of how you've used data to drive business decisions and how you can contribute to our mission at StudySmarter.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in SQL and Python! If you've conducted large-scale A/B experiments, make sure to include those details. We want to see how your technical skills can help us improve our products.
Apply Through Our Website: We encourage you to apply directly through our website. This way, your application will be seen by the right people, and you'll have a better chance of landing an interview with our awesome Data Science teams!
How to prepare for a job interview at Referrals Only
✨Know Your Data Inside Out
Make sure you brush up on your quantitative analysis and data mining skills. Be prepared to discuss specific projects where you've applied these skills, especially in relation to A/B testing or user interaction insights. This will show that you can not only crunch numbers but also derive meaningful conclusions from them.
✨Show Your Commercial Mindset
During the interview, highlight how you've used data to drive business decisions in the past. Be ready to explain how different product features impact user profitability and lifetime value. This will demonstrate that you understand the bigger picture and can align your work with the company's goals.
✨Be a Team Player
Emphasise your collaborative spirit! Share examples of how you've worked with engineers or product teams to ensure data collection aligns with business needs. This will illustrate that you're not just a lone wolf but someone who thrives in a team environment and values input from others.
✨Prepare for Technical Questions
Since solid grounding in SQL and Python is essential, be ready to tackle some technical questions or even coding challenges. Brush up on your skills and think about how you can apply them to real-world scenarios relevant to the role. This will help you stand out as a candidate who is both knowledgeable and practical.