Data Scientist

We're hiring a Data Scientist to join a globally recognised audio streaming platform, supporting their experimentation and analytics ecosystem. This is a fantastic opportunity to work on a high-impact product used to power A/B testing and data-driven decision-making at scale.

This role sits within a fast-paced analytics team and is focused on hands-on data analysis, experiment monitoring, and stakeholder reporting rather than machine learning or research work.

What you'll be doing:

• Build and maintain dashboards tracking experiment performance and platform adoption
• Analyse A/B tests, ensuring data quality, validity, and actionable insights
• Perform deep-dive and ad-hoc analysis on experiment health and user behaviour
• Work closely with product, engineering, and data teams to support decision-making
• Translate complex data into clear, impactful narratives for stakeholders

• Strong SQL skills (essential) with experience working on large datasets
• Solid Python experience (pandas, NumPy) for data analysis
• Strong understanding of A/B testing and experimentation concepts
• Experience with BI tools (Tableau, Looker, or similar)
• Ability to work independently in a distributed team environment

Nice to have:

• Experience with BigQuery and dbt
• Exposure to experimentation platforms (eg, Optimizely, LaunchDarkly)
• Familiarity with experiment quality frameworks or advanced testing methods

If you're a hands-on analyst who enjoys working with data at scale and driving insights through experimentation, this could be a great fit.