At a Glance
- Tasks: Lead data experimentation strategies and collaborate with teams to drive impactful decisions.
- Company: Join PlayStation, a global leader in entertainment under Sony Interactive Entertainment.
- Benefits: Enjoy hybrid working, private medical insurance, 25 days holiday, and an on-site gym.
- Why this job: Be part of a diverse team that values innovation and empowers employees to make a difference.
- Qualifications: Experience in data science, SQL, Python, and a strong foundation in statistical analysis required.
- Other info: Opportunity for mentorship and growth within a collaborative environment.
The predicted salary is between 43200 - 72000 Β£ per year.
Senior Data Scientist β Data Science Analytics and Enablement (DSAE) United Kingdom, London Today, weβre recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. 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. This role is based in London with hybrid working flexibility. 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 Own the interpretation of experimental results, delivering both topline summaries and deep performance insights 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 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 ~ Commercial awareness and confidence in shaping decisions through data-driven evidence ~ Familiarity with personalisation systems, recommender models, or A/B testing in an e-commerce or customer lifecycle context ~ Discretionary bonus opportunity ~ Hybrid Working (within Flexmodes) ~ Private Medical Insurance ~25 days holiday per year ~ On Site Gym ~ All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. indicates a required field Phone * Website Depending upon where you are currently living, it may be necessary for you to relocate if you are appointed to this role. In order that we can ensure that we promptly provide any appropriate relocation support, please confirm the location at which you currently reside. * UK Diversity & Inclusion – Voluntary Equal Opportunity Monitoring Sony Interactive Entertainment Europe Limited (β SIEE β) is committed to ensuring that all job applicants and members of staff are treated equally, without discrimination because of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age. Collecting diversity data is intended to help SIEE maintain equal opportunities best practice and identify barriers to workforce equality and diversity. 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Data Scientist SQL/python employer: PlayStation
Contact Detail:
PlayStation Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Scientist SQL/python
β¨Tip Number 1
Familiarise yourself with the latest trends in data science, particularly in consumer tech and digital commerce. This will not only help you understand the industry better but also allow you to speak confidently about how your skills can contribute to PlayStation's goals.
β¨Tip Number 2
Network with current or former employees of PlayStation or similar companies. Engaging with them on platforms like LinkedIn can provide you with insider knowledge about the company culture and expectations, which can be invaluable during interviews.
β¨Tip Number 3
Prepare to discuss specific examples of your experience with SQL and Python, especially in relation to data querying and analysis. Being able to articulate your past projects and their impact will demonstrate your expertise and readiness for the role.
β¨Tip Number 4
Showcase your understanding of experimentation strategies and statistical methodologies. Be ready to discuss how you've applied these in previous roles, as this aligns closely with the responsibilities of the position and will highlight your suitability.
We think you need these skills to ace Data Scientist SQL/python
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with SQL and Python. Emphasise any work you've done with experimentation strategies, statistical analysis, and collaboration with cross-functional teams.
Craft a Strong Cover Letter: In your cover letter, express your passion for data science and how it aligns with PlayStation's mission. Mention specific projects or experiences that demonstrate your expertise in data-driven decision-making and your ability to mentor others.
Showcase Relevant Skills: Clearly outline your skills in statistical testing, power analysis, and causal inference methodologies. Provide examples of how you've applied these skills in previous roles, especially in consumer tech or digital commerce.
Highlight Cultural Fit: PlayStation values diversity and inclusion. In your application, reflect on how you can contribute to an inclusive environment and how your background and experiences align with their commitment to empowering employees and embracing diversity.
How to prepare for a job interview at PlayStation
β¨Showcase Your Technical Skills
Be prepared to demonstrate your expertise in SQL and Python during the interview. You might be asked to solve a problem or analyse a dataset on the spot, so brush up on your coding skills and be ready to explain your thought process.
β¨Understand Experimentation Methodologies
Since the role involves defining and standardising experimentation strategies, make sure you can discuss various statistical testing methods, power analysis, and causal inference. Be ready to provide examples of how you've applied these methodologies in past projects.
β¨Prepare for Collaborative Scenarios
The position requires collaboration with various teams, so think of examples where you've successfully worked with cross-functional groups. Highlight your communication skills and how you ensure clean data capture and execution in collaborative settings.
β¨Emphasise Your Commercial Awareness
Demonstrate your understanding of how data-driven decisions impact business outcomes. Be prepared to discuss how your insights have shaped strategies in previous roles, especially in consumer tech or digital commerce contexts.