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- Tasks: Analyse data to enhance user authentication experiences across popular consumer apps.
- Company: Global consumer tech organisation with a focus on innovation.
- Benefits: Competitive pay, flexible hours, and opportunities for professional growth.
- Why this job: Make a real impact on millions of users' experiences in a fast-paced environment.
- Qualifications: Experience in A/B testing, data analysis, and strong communication skills.
- Other info: Collaborative team culture with high visibility projects.
The predicted salary is between 36000 - 60000 £ per year.
Contract: 12 months with potential extension
Working hours: 9:00 am – 6:00 pm
About the Role
We are hiring a Data Scientist to join a high-impact Authentication Services team within a global consumer technology organization operating at massive scale. This role sits at the heart of mobile identity and account access, supporting products used by millions of people worldwide. You will work on modernizing authentication and login experiences across multiple consumer applications, helping drive growth through high-quality user experience, experimentation, and data-driven decision making. This is a collaborative role, working closely with engineers, product managers, and cross-functional partners in a fast-paced environment.
What You’ll Be Doing
- Conduct experiment and A/B test analysis to measure the impact of authentication methods
- Perform root cause analysis on drop-offs and issues within authentication funnels
- Deliver funnel analysis across registration, login, and account recovery flows
- Lead opportunity sizing to identify areas for optimization and expansion
- Build and maintain dashboards and reporting to track performance of authentication levers
- Own analytics for a defined set of features and support delivery against the product roadmap
Required Skills & Experience
- Hands-on experience with A/B testing and experimentation platforms
- Experience analyzing large-scale datasets and complex consumer funnels
- Ability to clearly communicate insights and recommendations to stakeholders
- Proven background in growth or product analytics
- Python or R experience preferred
Experience level: 4–7 years
Background: Consumer tech / consumer apps strongly preferred
What Makes This Role Compelling
- Work across multiple consumer apps within a single ecosystem
- Solve real-world problems at global scale
- High visibility work influencing products used by millions of users
- Opportunity to shape critical identity and authentication experiences
Data Scientist (consumer app) employer: Russell Tobin
Contact Detail:
Russell Tobin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (consumer app)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in consumer tech. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your A/B testing projects and data analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python or R skills. Be ready to discuss your experience with large datasets and how you've tackled real-world problems in previous roles.
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist (consumer app)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with A/B testing and data analysis, as these are key for us. Use specific examples that showcase your skills in consumer tech.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share why you're passionate about authentication and identity in consumer apps. Let us know how your background aligns with our mission and the impact you want to make.
Showcase Your Analytical Skills: In your application, don’t forget to mention any hands-on experience with large-scale datasets. We love seeing how you've used data to drive decisions or improve user experiences, so be specific!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and it helps us keep track of all applications. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Russell Tobin
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets you’ll be working with. Brush up on your experience with A/B testing and experimentation platforms, as these will likely come up during the interview. Be ready to discuss specific examples of how you've analysed large-scale datasets and what insights you derived from them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about real-world problems you've solved, especially in the context of consumer tech. Think of instances where you performed root cause analysis on drop-offs in authentication funnels. Highlight your analytical approach and the impact of your solutions on user experience.
✨Communicate Clearly and Confidently
Since this role involves collaboration with engineers and product managers, practice articulating your insights and recommendations clearly. Use straightforward language to explain complex concepts, and be prepared to answer questions about your thought process and decision-making.
✨Demonstrate Your Passion for User Experience
This role is all about enhancing user experiences across multiple applications. Share your thoughts on what makes a great authentication experience and how data-driven decisions can improve it. Showing genuine enthusiasm for user-centric design will set you apart from other candidates.
