£600 Per day
Inside
Remote
London, Greater London, South East, England
Summary: The Data Scientist role involves conducting experiment analysis to evaluate authentication methods and performing root cause analysis to identify issues within authentication funnels. The position requires executing funnel analysis across various account access flows and building dashboards to track performance metrics. This is a remote position with a duration of 12 months, requiring a strong background in SQL and A/B testing.
Key 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
Key Skills:
- Strong SQL proficiency
- 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
Salary (Rate): £600 per day
City: London
Country: England
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Data Scientist
Location: Remote
Duration: 12 months
Start Date: ASAP
Pay rate: £500 - £600 per day PAYE
Key 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
Must have:
- SQL
- A/B Testing
- 4-7 years’ experience
Required Skills/Qualifications
- Strong SQL proficiency
- 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