Data Scientist – Product Analytics – Tech Sector

JR United Kingdom; England; Remote; GBP 45,000 - 70,000; Full time

Job summary

A leading tech company in England is seeking a Data Scientist with a focus on Product Analytics for a remote or London-based role. This position involves engaging with product and engineering teams to leverage analytics for product outcomes, requiring strong qualifications in quantitative analysis and relevant software skills.

Qualifications

• Master's degree required in relevant fields.
• Experience in performing quantitative analysis.
• Proficiency in Python and knowledge of statistical software.

Responsibilities

• Collaborate with product and engineering teams.
• Deliver product outcomes through analytics.

Skills

Data Mining

Statistical Analysis

Python

A/B Testing

Quantitative Analysis

Education

Master's degree in Computer Science

Master's degree in Engineering

Master's degree in Information Systems

Master's degree in Mathematics

Master's degree in Economics

Master's degree in Physics

Master's degree in Applied Sciences

Tools

R

SAS

Matlab

Job description

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Data Scientist – Product Analytics – Tech Sector, England

Location: England, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 3

Posted: 10.06.2025

Expiry Date: 25.07.2025

Job Description:

Data Scientist – Product Analytics – Tech Sector

Duration: 6 months

Location: Remote/London

This excellent role is with a well-known Tech company. More details can be provided upon application. We need someone with a Product Analytics background, working in partnership with product and engineering teams to deliver product outcomes, rather than someone focused mainly on building Machine Learning models.

Minimum Qualifications:

• Master's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Economics, Physics, Applied Sciences, or a related field.
• Experience in performing quantitative analysis, including data mining on complex data sets.
• Proficiency in scripting language: Python.
• Knowledge of statistical or mathematical software such as R, SAS, or Matlab.
• Experience in applied statistics or experimentation, such as A/B testing, in an industry setting.
• Knowledge of quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics.