Relomote
RT

Data Scientist

Russell TobinApplies on LinkedInData & Analytics
Salary
£50/hr
Hiring from
United Kingdom
Work type
Remote
Posted
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Data Scientist – E-commerce & Product Analytics

Location: UK – Remote

Contract: 12 months (Maternity Cover)

Pay Rate: £50 per hour PAYE + 33 days’ holiday pay pro rata

Working Hours: Monday–Friday, 9:00 AM–6:00 PM


About the Role

  • We are seeking an experienced Data Scientist to join a leading global technology organization, working within its Conversion Experiences team. This role focuses on using data science, experimentation and product analytics to improve e-commerce experiences, user engagement and conversion across digital platforms.
  • You will work on innovative projects exploring consumer behavior, product performance and purchasing trends, using data-driven insights to inform product decisions and optimize user experiences.


Key Responsibilities

  • Analyze large, complex datasets to identify trends, opportunities and consumer behavior patterns.
  • Design and evaluate experiments, including A/B tests, to measure the impact of product features and commercial initiatives.
  • Develop hypotheses, conduct statistical analysis and translate findings into actionable recommendations.
  • Assess conversion performance, purchasing trends and market opportunities within e-commerce environments.
  • Use Python, SQL and internal analytical tools to support exploratory data analysis and experimentation.
  • Collaborate with product engineers and cross-functional stakeholders to influence product strategy and business decisions.
  • Provide data visualization, reporting and insights to support product optimization.
  • Leverage AI-powered tools and automated analytical frameworks to improve research and experimentation workflows.


Essential Skills & Experience

  • 8–10 years of relevant experience in data science, product analytics or a closely related field.
  • Strong experience within e-commerce, advertising platforms or major retail organizations.
  • Practical expertise in advertising analytics and experimentation methodologies, including A/B testing.
  • Strong hands-on analytical skills, with the ability to independently drive projects from hypothesis through to evaluation.
  • Proficiency in Python and SQL, with experience analyzing large datasets.


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