Data Science Manager

PlayStation Sony Computer Entertainment Europe Ltd.; Camden Town; On-site; GBP 80,000 - 110,000; Full time

Job summary

A leading gaming technology company in Camden Town is seeking a Data Science Lead to lead a team focused on experimentation and causal inference. The ideal candidate will have over 6 years of experience in data science, excellent communication skills, and a strong track record in managing teams and driving innovation in a dynamic environment. This role offers flexible working options and numerous benefits, including private healthcare and a bonus scheme.

Benefits

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

Regular team and company events

Training Provided

Qualifications

• 6+ years of experience in data science, including hands-on work in experimentation.
• At least 2+ years in a formal people management or technical leadership role.
• Demonstrated ability to collaborate cross-functionally.

Responsibilities

• Lead a team of data scientists focused on experimentation and causal inference.
• Drive innovation in experimentation research by developing new methodologies.
• Partner with product managers to identify high-impact experimentation opportunities.

Skills

Leading experimentation innovation

Collaboration

Causal inference techniques

Communication

SQL proficiency

Statistical programming

Education

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

Ph.D. or equivalent experience

Tools

SQL

R

Python

Airflow

Git

Tableau

MicroStrategy

Job description

Overview

Lead a team of data scientists focused on experimentation and causal inference; provide technical direction, career development, and mentorship. Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams. Represent the team's insights, innovations, and impact across the broader data science and product communities within PlayStation. Stay abreast of emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve our capabilities.

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.
• Stay abreast of emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve our capabilities.

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

• PlayStation isn’t just the Best Place to Play - it's also the Best Place to Work.
• 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