

Data Scientist - Product Analytics
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist - Product Analytics, remote in the UK, for 8 months at a competitive pay rate. Key skills include SQL, Python/R, and experience in product analytics and A/B testing.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
-
ποΈ - Date discovered
June 7, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Remote
-
π - Contract type
Fixed Term
-
π - Security clearance
Unknown
-
π - Location detailed
London
-
π§ - Skills detailed
#Storytelling #A/B Testing #Data Science #Visualization #Data Storytelling #Python #R #Datasets #SQL (Structured Query Language)
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
Role: Data Scientist - Product Analytics
Location: UK- Remote
Duration: 8 Months
We're looking for a data-driven, product-focusedData Scientist to join our team! In this role, you'll partner closely with Product and Engineering to uncover user insights, drive experimentation, and help shape the direction of our products through data.
What youβll do:
β’ Analyze large, complex datasets to inform product decisions
β’ Design and interpret A/B tests and other experiments
β’ Partner with cross-functional teams to identify trends and opportunities
β’ Build dashboards and define metrics that track product success
β’ Deliver clear insights and strategic recommendations
What weβre looking for:
β’ Strong skills in SQL, Python/R, and data visualization
β’ Experience with product analytics and user behavior analysis
β’ Familiarity with experimentation, statistical modeling, and data storytelling
β’ Comfort working with large-scale data and distributed systems