Senior Data Scientist – Data Science Analytics and Enablement (DSAE)

Our Data Science Analytics and Enablement (DSAE) team inspires PlayStation to make impactful, customer centric decisions through seamless integration of data.

Currently there are over 100 people in the global DSAE team, including data science, data governance and analytics professionals. We work closely with engineering and product management teams to deliver data products, insight, predictive analytics, and data visualisation.

DSAE is looking to recruit dedicated, highly driven individuals who have excelled in previous roles and are looking for a new challenge in a dynamic and exciting environment.

What You’ll Be Doing:

As a key leader in our global experimentation efforts, you will raise the bar on how we test, measure, and learn across PlayStation’s most impactful products and initiatives.

This role is based in London with hybrid working flexibility.

You will:

• Define and standardise experimentation strategy, including best practices in test design, allocation, and statistical analysis
• Collaborate with commercial, engineering, analytics, and product teams to ensure flawless execution and clean data capture
• Apply causal inference techniques when randomisation isn’t feasible
• Own the interpretation of experimental results, delivering both topline summaries and deep performance insights
• Provide mid-test updates that build stakeholder confidence and advise adjustments during live tests
• Communicate insights and recommendations with clarity and influence across working groups and senior leadership forums
• Guide and mentor other data scientists, ensuring consistency, quality, and alignment across experimentation work
• Represent experimentation at the strategic level, advocating for rigorous methods that drive long-term learning and impact
• Create reusable documentation, tooling, and training materials to elevate experimentation maturity across the organisation

What We’re Looking For

• Significant experience in data science and experimentation, ideally within consumer tech or digital commerce
• Strong foundation in statistical testing, power analysis, and causal inference methodologies
• Expertise in SQL and Python (or R) for data querying, preparation, and sophisticated analysis
• Exceptional communication skills - with a proven track record to present findings to non-technical audiences, advocate for experimentation results, and influence business and product leaders
• Experience working on or advising experimentation platforms and measurement frameworks
• Commercial awareness and confidence in shaping decisions through data-driven evidence
• Demonstrated experience mentoring junior team members and upholding high analytical standards
• Collaborative, proactive attitude with strong ability to align and influence cross-functional partners
• Familiarity with personalisation systems, recommender models, or A/B testing in an e-commerce or customer lifecycle context
• Experience with large-scale experiments, particularly in high-traffic environments
• Strong problem-solving, critical thinking, and adaptability skills
• Commitment to continuous improvement and staying updated with the latest trends and standard methodologies in experimentation and measurement

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

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