Data Scientist

Principle; United Kingdom; Remote; GBP 94,000 - 114,000; Full time

Benefits offered by this job

Pension scheme

Paid annual leave

Job summary

Principle is seeking a Data Scientist to join a global technology company’s product data science team. You will lead analytics and experimentation for ecommerce, advertising and conversion experiences, translating complex data into actionable business recommendations.

You will apply advanced analytics, experiment design, and AI-powered tooling to improve conversion and engagement at scale, collaborating with Product and Engineering to influence strategy and decisions.

Qualifications

• Experience in product data science or product analytics within ecommerce/advertising platforms.
• Proven experience designing and evaluating product experiments including A/B testing and statistical analysis.
• Strong understanding of digital advertising, consumer behaviour, conversion funnels and commercial metrics.
• Hands-on experience using Python and SQL for data analysis.
• Experience with large, complex datasets and translating findings into product recommendations.
• Demonstrated ability to own analytical projects from problem definition to recommendations.
• Strong stakeholder management, communication and influencing skills.

Responsibilities

• Lead product analytics and experimentation initiatives to improve conversion, engagement and purchasing experiences.
• Design, execute and evaluate A/B tests and product experiments, measuring impact on customer behaviour and business outcomes.
• Analyse large-scale datasets to identify purchasing trends, market opportunities and product improvement opportunities.
• Apply statistical analysis and Python/SQL to investigate hypotheses and generate actionable insights.
• Evaluate product features and customer experiences, using quantitative evidence to recommend improvements.
• Leverage AI-powered analytics tools and automated workflows to accelerate research and experimentation.
• Partner with Product, Engineering and cross-functional stakeholders to influence product strategy and decision-making.
• Present complex analytical findings clearly, connecting recommendations to measurable commercial outcomes.

Skills

Product analytics

A/B testing

Python

SQL

Data analysis

Stakeholder management

Job description

• Salary: £104,000 per annum + 15% bonus, paid annual leave and pension
• Location: Remote within UK

About the Opportunity

We are recruiting a Data Scientist to join a global technology company, working within a product data science team focused on e-commerce, advertising and conversion experiences.

This is an opportunity to work on high-impact consumer-facing products, using advanced analytics, experimentation and AI-powered tools to understand purchasing behaviour, optimise product features and improve conversion performance.

The successful candidate will bring strong experience in e-commerce, advertising analytics and product experimentation, alongside the ability to independently translate complex data into actionable commercial recommendations.

Key Responsibilities

• Lead product analytics and experimentation initiatives to improve conversion, engagement and purchasing experiences.
• Design, execute and evaluate A/B tests and product experiments, measuring their impact on customer behaviour and business outcomes.
• Analyse large-scale datasets to identify purchasing trends, market opportunities and opportunities for product improvement.
• Apply statistical analysis and Python/SQL to investigate hypotheses and generate actionable insights.
• Evaluate product features and customer experiences, using quantitative evidence to recommend improvements.
• Leverage AI-powered analytics tools and automated workflows to accelerate research and experimentation.
• Partner with Product, Engineering and cross-functional stakeholders to influence product strategy and decision-making.
• Present complex analytical findings clearly, connecting recommendations to measurable commercial outcomes.

Required Experience

• Strong background in product data science or product analytics within e-commerce, advertising platforms or large-scale retail environments.
• Proven experience designing and evaluating product experiments, including A/B testing and statistical analysis.
• Strong understanding of digital advertising, consumer behaviour, conversion funnels and commercial performance metrics.
• Hands-on experience using Python and SQL for data analysis.
• Experience working with large, complex datasets and translating findings into product recommendations.
• Demonstrated ability to independently own analytical projects from problem definition through to recommendations.
• Strong stakeholder management, communication and influencing skills.
• Previous experience working within major technology companies or large-scale consumer platforms.
• Experience using AI tools, intelligent agents or automated analytical workflows.
• Familiarity with machine learning applications for product recommendations and feature optimisation.
• Experience collaborating with product and engineering teams on large-scale experimentation initiatives.

Why Consider This Opportunity?

You will join an established product data science function working on innovative e-commerce experiences used at significant scale.

The role offers exposure to AI-powered analytical tools, complex product experimentation and commercially meaningful decisions, with the opportunity to directly influence conversion performance.