

US Tech Solutions Private Limited
Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist on a 12-month remote contract in the UK, requiring strong SQL skills, A/B testing experience, and proficiency in product analytics. Python and data visualization experience are preferred.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
Unknown
-
ποΈ - Date
January 28, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
London
-
π§ - Skills detailed
#A/B Testing #Data Science #Datasets #Visualization #Python #SQL (Structured Query Language)
Role description
Role: Data Scientist
Location: UK- Remote
Duration: 12-Month Contract
Overview
Weβre looking for a Data Scientist to support a team focused on user access and identity-related journeys across consumer-facing products. This role will drive experimentation, funnel analysis, and data insights to improve key user flows and inform product decisions.
Key Responsibilities
β’ Analyze A/B tests and experiments to evaluate product impact
β’ Perform funnel and root-cause analysis across registration, login, and recovery flows
β’ Size opportunities to support product optimization and prioritization
β’ Build dashboards and reporting to track feature performance
β’ Partner closely with product and engineering teams to deliver actionable insights
Required Skills
β’ Strong SQL (essential)
β’ Proven experience with A/B testing and experimentation
β’ Experience working with product or growth analytics
β’ Ability to analyze large datasets and communicate insights clearly
Nice to Have
β’ Python for analysis
β’ Experience with data visualization tools
Role: Data Scientist
Location: UK- Remote
Duration: 12-Month Contract
Overview
Weβre looking for a Data Scientist to support a team focused on user access and identity-related journeys across consumer-facing products. This role will drive experimentation, funnel analysis, and data insights to improve key user flows and inform product decisions.
Key Responsibilities
β’ Analyze A/B tests and experiments to evaluate product impact
β’ Perform funnel and root-cause analysis across registration, login, and recovery flows
β’ Size opportunities to support product optimization and prioritization
β’ Build dashboards and reporting to track feature performance
β’ Partner closely with product and engineering teams to deliver actionable insights
Required Skills
β’ Strong SQL (essential)
β’ Proven experience with A/B testing and experimentation
β’ Experience working with product or growth analytics
β’ Ability to analyze large datasets and communicate insights clearly
Nice to Have
β’ Python for analysis
β’ Experience with data visualization tools






