Data Scientist - Measurement & Causal Inference

Playstatio; Greater London; Hybrid; GBP 80,000 - 110,000; Full time

Benefits offered by this job

On-site gym

On-site bar

Private Medical Insurance

25 days annual leave

Hybrid Working (FlexModes)

Discretionary bonus opportunity

Complementary soft drinks

Secure cycle storage and shower

Job summary

Sony Interactive Entertainment in London is seeking a Data Scientist to measure impact of PlayStation products and initiatives through advanced experimentation, causal inference and applied data science.

You will work at the intersection of data science, product and commercial strategy to deliver insights and support evidence‑based decisions, collaborating with product, engineering and analytics teams.

Qualifications

• Master's degree or equivalent in Statistics, Economics, Mathematics, CS or Data Science.
• 3+ years applying experimentation, causal inference or related analytics to business problems.
• Strong knowledge of experimental design and modern causal inference methods.
• Proficient in Python and SQL for analytical workflows.

Responsibilities

• Measure impact of products via experimentation, causal inference and analytics.
• Design and implement robust measurement approaches across experiments and observational data.
• Analyze complex data to generate actionable business insights.
• Communicate findings to technical and non-technical stakeholders and influence decisions.

Skills

Statistics

Experimentation

Python

SQL

Machine Learning

Communication

Education

Master's degree in a quantitative field

PhD preferred

Tools

Databricks

Snowflake

Git

Airflow

Tableau/Power BI

Job description

Sony Interactive Entertainment in London is seeking a Data Scientist to measure impact of PlayStation products and initiatives through advanced experimentation, causal inference and applied data science.

You will work at the intersection of data science, product and commercial strategy to deliver insights and support evidence‑based decisions, collaborating with product, engineering and analytics teams.