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- Tasks: Analyse data to enhance authentication methods and improve user experience.
- Company: Join a leading tech company focused on innovation and growth.
- Benefits: Attractive salary, flexible working options, and opportunities for professional development.
- Why this job: Make a real impact on user experience while working with cutting-edge data technologies.
- Qualifications: Experience in data analysis, A/B testing, and strong communication skills required.
- Other info: Dynamic team environment with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
Data Scientist to support the Authentication Services team within Mobile Identity. The role focuses on modernizing our authentication stack to enable Meta's sustainable growth through high quality UX.
Responsibilities
- Conduct experiment analysis to measure impact of authentication methods
- Perform root cause analysis to diagnose issues in authentication funnels
- Execute funnel analysis across account access flows (registration, login, recovery)
- Complete opportunity sizing for optimizations and expansion
- Build dashboards and reporting to track authentication lever performance
Required Skills/Qualifications
- Experience with experimentation platforms and A/B testing
- Ability to work with large-scale datasets and complex funnels
- Strong communication skills to translate data insights into actionable recommendations
- Experience with growth analytics work: experiment analysis, funnel analysis, opportunity sizing
- Python/R experience for analysis and modeling preferred
Data Scientist in London employer: Harvey Nash
Contact Detail:
Harvey Nash 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 folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving A/B testing and funnel 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/R skills and understanding the latest trends in authentication methods. Be ready to discuss how you've tackled similar challenges in the past and how you can contribute to modernising their authentication stack.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Scientists like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with experimentation platforms and A/B testing. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about modernising authentication stacks and how your background in data science can contribute to our team’s success.
Showcase Your Communication Skills: Since strong communication is key for this role, make sure to demonstrate how you can translate complex data insights into actionable recommendations. We love seeing candidates who can bridge the gap between data and decision-making!
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 Data Scientist position. Plus, it’s super easy!
How to prepare for a job interview at Harvey Nash
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data and metrics relevant to authentication methods. Brush up on your experience with A/B testing and experimentation platforms, as these will likely come up in conversation. Be ready to discuss specific examples where you've used data to drive decisions.
✨Master the Art of Communication
Since strong communication skills are a must, practice explaining complex data insights in simple terms. Think about how you can translate technical jargon into actionable recommendations that anyone can understand. This will show your potential employer that you can bridge the gap between data and decision-making.
✨Funnel Analysis is Key
Prepare to discuss your experience with funnel analysis, especially in relation to account access flows like registration and login. Have a few examples ready where you’ve diagnosed issues or identified opportunities for optimisation. This will demonstrate your hands-on experience and analytical thinking.
✨Showcase Your Technical Skills
Be ready to talk about your proficiency in Python or R, especially in the context of analysis and modelling. If you have any projects or dashboards you’ve built, bring them up! Showing tangible results from your technical skills can really set you apart from other candidates.
