Data Scientist/Analyst

Our team is looking for a Data Scientist to help us understand and improve our Personalisation platform at PlayStation. We are on a mission to deliver world-class Personalised experiences across the PlayStation Network, and we need your help to support our data-driven approach, run robust experiments, and surface key insights from our user data. If you are curious, analytical, and love digging into data, we want you on our team.

What you'll be doing:

• Support analytical work across our Personalisation program, helping evaluate how users engage with our personalised experiences.
• Partner with senior data scientists, engineers, and product managers to design and evaluate A/B tests and other experiments.
• Collaborate with engineering teams to understand how our systems work and provide input on how to develop our products with a data-first approach
• Participate in the development of experimentation plans, making sure we have quality data which leads to useful results
• Help analyse and interpret experiment results, turning complex findings into clear summaries and business insights.
• Assist with creation of dashboards, reports, and visualizations that support ongoing learning and decision-making.
• Work with data teams across the company to ensure we have the right data and tools to support personalisation analytics.

What we are looking for:

• A degree, or equivalent experience, in Statistics, Computer or Data Science, Mathematics, Analytics, or similar
• 2-3+ years in a role providing data analytics, business intelligence, data science, or similar.
• Hands-on experience supporting experiments or A/B testing in a product environment.
• Proficiency in SQL for data extraction and working with large datasets.
• Working knowledge of Python, R, or similar languages for data analysis.
• Experience with data visualisation tools like Tableau, Power BI, or similar.
• Ability to communicate findings clearly to both technical and non-technical audiences.
• A curious mindset and passion for learning about user behaviour and data.
• Familiarity with e-commerce or personalization systems is a plus