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- Tasks: Analyse data to drive product strategy and improve user experience.
- Company: Join a forward-thinking fintech company with a collaborative spirit.
- Benefits: Competitive salary, flexible working hours, and opportunities for growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make a real impact on products and users while shaping the future of finance.
- Qualifications: Experience in SQL, Python, and A/B testing; strong analytical skills.
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 — Growth & Product Analytics employer: Referrals Only
Contact Detail:
Referrals Only Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist — Growth & Product Analytics
✨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 common data science interview questions and practice your answers. Make sure you can explain your past projects and how they relate to the role you're applying for.
✨Tip Number 3
Show off your skills! If you have a portfolio of projects, make sure to share it during the interview. Demonstrating your hands-on experience with SQL and Python can really set you apart from other candidates.
✨Tip Number 4
Don’t forget to follow up! After your interview, send a thank-you email to express your appreciation for the opportunity. It’s a nice touch and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Senior Data Scientist — Growth & Product Analytics
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, A/B testing, and any relevant programming languages like SQL and Python.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can contribute to our growth. Share specific examples of how you've driven impact in previous roles, especially in product analytics.
Showcase Your Projects: If you've worked on interesting projects or experiments, don’t hesitate to include them! We love seeing real-world applications of your skills, so share insights into how your work has influenced product strategy or user experience.
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’re considered for the right team that matches your skills and aspirations!
How to prepare for a job interview at Referrals Only
✨Know Your Numbers
As a Senior Data Scientist, you'll need to demonstrate your expertise in quantitative analysis. Brush up on key metrics relevant to the role, like user lifetime value and A/B testing results. Be ready to discuss how you've used data to drive product decisions in your previous roles.
✨Show Your Strategic Thinking
This role requires a balance of hands-on skills and strategic insight. Prepare examples that showcase your ability to think critically about data and its implications for product strategy. Think about times when you identified opportunities or issues proactively and how you tackled them.
✨Be a Team Player
Collaboration is key in this position. During the interview, highlight your experiences working with cross-functional teams, especially with engineers and product managers. Share specific instances where your teamwork led to successful outcomes, emphasising your reliability and support for colleagues.
✨Master SQL and Python
Since solid grounding in SQL and preferably Python is essential, make sure you're comfortable discussing your technical skills. Prepare to answer questions or even solve problems on the spot. If you have any projects or examples where you've applied these skills, be ready to share them!