Data Scientist - Python and SQL
Data Scientist - Python and SQL

Data Scientist - Python and SQL

London Full-Time 43200 - 72000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data experimentation and analysis to drive impactful decisions at PlayStation.
  • Company: Join Sony Interactive Entertainment, a global leader in entertainment and gaming innovation.
  • Benefits: Enjoy hybrid working, private medical insurance, 25 days holiday, and an on-site gym.
  • Why this job: Be part of a diverse team shaping the future of gaming through data-driven insights.
  • Qualifications: Experience in data science, SQL, Python, and statistical analysis is essential.
  • Other info: Opportunity to mentor fellow data scientists and elevate experimentation practices.

The predicted salary is between 43200 - 72000 Β£ per year.

Senior Data Scientist – Data Science Analytics and Enablement (DSAE) United Kingdom, London Today, we’re 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 ’) 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. Please read this notification and consent before you decide whether to submit your diversity data in the survey below. SIEE will treat all survey responses in the strictest confidence, and our personnel with decision-making role in the recruitment process can only see aggregated reports on the results of the survey and cannot allocate these aggregated reports to individual applicants. There is no obligation on you to provide diversity data, SIEE will treat all applicants the same regardless of whether they provide diversity data or not, and any responses to the survey will not affect our decision on your application. The withdrawal of your consent does not affect the lawfulness of the processing of your diversity data based on your consent before its withdrawal. Please tick this box to confirm that you explicitly consent to providing the diversity data below, including the below sensitive information on your racial or ethnic origin, your sexual orientation and your gender identity, and to SIEE using this data as Select…

Data Scientist - Python and SQL employer: PlayStation

At PlayStation, we pride ourselves on being a leading employer in the tech industry, offering a dynamic work culture that fosters innovation and collaboration. Our London-based Data Science Analytics and Enablement team benefits from hybrid working flexibility, comprehensive health insurance, and generous holiday allowances, all while being part of a diverse and inclusive environment that champions employee growth and development. Join us to make impactful decisions that shape the future of entertainment and technology.
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Contact Detail:

PlayStation Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Data Scientist - Python and SQL

✨Tip Number 1

Familiarise yourself with the latest trends in data science, particularly in experimentation and A/B testing. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.

✨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 insights about the company culture and expectations, which can be invaluable during your application process.

✨Tip Number 3

Prepare to showcase your technical skills in Python and SQL through practical examples. Consider working on a personal project or contributing to open-source projects that highlight your ability to analyse data and derive insights, as this will set you apart from other candidates.

✨Tip Number 4

Understand the importance of collaboration in the role. Be ready to discuss how you've successfully worked with cross-functional teams in the past, as this will show your ability to integrate data-driven decisions into broader business strategies.

We think you need these skills to ace Data Scientist - Python and SQL

Expertise in Python
Proficiency in SQL
Strong foundation in statistical testing
Power analysis skills
Causal inference methodologies
Experience with A/B testing
Data querying and preparation
Data visualisation techniques
Commercial awareness
Ability to interpret experimental results
Collaboration with cross-functional teams
Mentoring and guiding junior data scientists
Documentation and training material creation
Understanding of personalisation systems
Recommender models knowledge

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with Python and SQL. Include specific projects or roles where you've applied statistical testing and causal inference methodologies.

Craft a Strong Cover Letter: In your cover letter, express your passion for data science and how it aligns with PlayStation's mission. Mention your experience with experimentation strategies and your ability to collaborate with cross-functional teams.

Showcase Your Skills: When detailing your skills, emphasise your expertise in SQL and Python, as well as any familiarity with personalisation systems or A/B testing. Use concrete examples to demonstrate your capabilities.

Highlight Your Impact: Discuss how your previous work has led to impactful, customer-centric decisions. Use metrics or outcomes to illustrate the effectiveness of your contributions in past roles.

How to prepare for a job interview at PlayStation

✨Showcase Your Technical Skills

Be prepared to demonstrate your expertise in Python and SQL during the interview. You might be asked to solve a coding problem or explain your approach to data querying and analysis, so brush up on your technical skills and be ready to discuss specific projects where you've applied them.

✨Understand Experimentation Methodologies

Since the role involves defining and standardising experimentation strategies, make sure you can articulate your understanding of statistical testing, power analysis, and causal inference methodologies. Be ready to discuss how you've implemented these in past projects and the impact they had.

✨Prepare for Collaborative Scenarios

Collaboration is key in this role, so think of examples where you've worked closely with cross-functional teams. Be ready to discuss how you ensured clean data capture and flawless execution in your previous roles, as well as how you communicated insights to non-technical stakeholders.

✨Emphasise Your Commercial Awareness

The company values data-driven decision-making, so highlight your commercial awareness and how you've used data to shape business decisions in the past. Prepare to discuss specific instances where your insights led to impactful outcomes, especially in consumer tech or digital commerce contexts.

Data Scientist - Python and SQL
PlayStation
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