Data Science Manager

PlayStation Sony Computer Entertainment Europe Ltd.; City of Westminster; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading entertainment company is seeking a Data Science Team Lead to guide a team on experimentation and causal inference. This role requires a strong background in data science, experimentation, and technical leadership, with 6+ years of experience in the industry. Responsibilities include driving innovation in experimentation methodologies and collaborating with cross-functional teams to enhance data strategies. The company offers a flexible working environment and various benefits, including training and health care support.

Benefits

Training Provided

Regular team and company events

Free drinks, fruit or food

Flexible working

Free Gym or Gym Subsidy

Private Medical/Dental healthcare

Bonus/Reward Scheme

Cycle to work scheme

Game Jams

Qualifications

• 6+ years of experience in data science, including hands-on work in experimentation.
• At least 2+ years in a technical leadership role.
• Proven track record of leading experimentation innovation.

Responsibilities

• Lead a team of data scientists focused on experimentation and causal inference.
• Drive innovation in experimentation methodologies and frameworks.
• Partner with various teams to identify high-impact experimentation opportunities.

Skills

Data science

Experimentation

SQL

Statistical programming (R or Python)

Causal inference

Collaboration

Communication

Education

Master's Degree in Applied Math, Economics, Statistics, Computer Science or related field

Ph.D. or equivalent experience preferred

Tools

SQL

R

Python

Airflow

Git

Tableau

MicroStrategy

Job description

PlayStation isn’t just the Best Place to Play – it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment, producing the PlayStation family of products and services, including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus and acclaimed PlayStation software titles from PlayStation Studios.

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.

Responsibilities

• Lead a team of data scientists focused on experimentation and causal inference; provide technical direction, career development, and mentorship.
• Drive innovation in experimentation research by developing and overseeing new methodologies and frameworks that improve the quality, speed, and scalability of experiments.
• Guide the advancement of experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analysis capabilities.
• Partner with product managers, game studios, and business leaders to identify high-impact experimentation opportunities and ensure alignment with PlayStation's strategic goals.
• Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams.
• Contribute directly to research and prototyping of novel experimentation techniques that address complex real-world constraints, such as user behavior variability and data limitations.
• Champion the growth of a data-driven culture by advocating for experimentation standards, ethical practices, and reproducibility.
• Represent the team's insights, innovations, and impact across the broader data science and product communities within PlayStation.

Qualifications

• Master's Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred.
• Strong familiarity with the gaming industry and contemporary gaming experiences.
• 6+ years of experience in data science, including hands‑on work in experimentation, with at least 2+ years in a formal people management or technical leadership role.
• Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment.
• Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling.
• Expertise in causal inference techniques and designing both randomized and quasi-experiments.
• Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions.
• Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders.
• Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy).
• A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation.

Benefits

• Training Provided
• Regular team and company events
• Free drinks, fruit or food
• Flexible working
• Free Gym or Gym Subsidy
• Private Medical/Dental healthcare
• Bonus/Reward Scheme
• Cycle to work scheme
• Game Jams