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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: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on millions of users' experiences in a fast-paced environment.
- Qualifications: Strong SQL skills and experience with A/B testing required.
- Other info: Collaborative team culture with high visibility projects.
The predicted salary is between 36000 - 60000 £ per year.
Contract: 12 months with potential extension
Location: Remote (UK)
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
- Strong SQL skills (non-negotiable)
- 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) in Chester employer: Russell Tobin
Contact Detail:
Russell Tobin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (consumer app) in Chester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already 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 is your chance to demonstrate your SQL prowess and how you’ve tackled real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on common data science scenarios. Be ready to discuss your experience with large datasets and how you've optimised authentication funnels in past 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) in Chester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Scientist. Highlight your SQL skills and any experience with A/B testing or consumer tech. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about authentication and identity in consumer apps. Share specific examples of your past work that relate to the job description.
Showcase Your Analytical Skills: Since this role involves analysing large datasets, make sure to mention any relevant projects or experiences. We love seeing how you've used data to drive decisions or improve user experiences in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Russell Tobin
✨Master Your SQL Skills
Since strong SQL skills are non-negotiable for this role, make sure you brush up on your SQL knowledge. Prepare to discuss specific queries you've written and how they helped solve real problems in your previous roles.
✨Showcase Your A/B Testing Experience
Be ready to talk about your hands-on experience with A/B testing and experimentation platforms. Share examples of tests you've conducted, the hypotheses you formed, and the insights you gained from the results.
✨Communicate Clearly
This role requires you to communicate insights and recommendations effectively. Practice explaining complex data analyses in simple terms, as if you're talking to someone without a technical background. This will show your ability to collaborate with cross-functional teams.
✨Prepare for Real-World Scenarios
Think about the challenges related to authentication funnels and user experience. Be prepared to discuss how you would approach root cause analysis for drop-offs and what strategies you might implement to optimise these processes.
