Data Scientist at Clipwire Games developing models for game systems and data pipelines. Collaborating with product and development teams for analytics and insights.
Responsibilities
Develop statistical models and simulation frameworks to evaluate game systems such as progression, rewards, and in-game economies.
Build and maintain scalable data pipelines, datasets, and tooling required to support modelling, forecasting, and experimentation infrastructure.
Design and implement experimentation frameworks used by product teams to evaluate new features, balance changes, and content releases.
Partner closely with development teams to ensure reliable in-game data collection and robust instrumentation for analytical systems.
Write production-quality code for data transformation, modelling, and simulation using modern data and software development practices.
Develop reusable libraries, tools, and frameworks that support experimentation, statistical analysis, and game system modelling across titles.
Forecast the impact of design changes using predictive models and simulation techniques.
Maintain clear documentation, version control, and reproducibility standards for analytical code and modelling workflows.
Support complex technical investigations involving large-scale player behaviour datasets and game system performance.
Deep statistical knowledge — experimental design, causal inference, Bayesian methods, and distribution modelling
Hands-on experimentation experience: power analysis, sequential testing, multivariate design, and correct result interpretation
Experience building economy models or simulations — understanding of virtual currencies, balance dynamics, and forecasting
Highly self-directed — able to scope, prioritise, and deliver complex technical work independently
Able to communicate technical approaches and trade-offs clearly to non-technical stakeholders
Background in mobile or free-to-play games is a strong asset
Benefits
15 days holiday in addition to bank holidays to relax and refresh throughout the year - with every 5 years of service, you’ll receive an extra 5 days!
Hybrid Working: We work in the office 2 days a week, Tuesdays and Thursdays. Wednesday is an optional office day. Lunch is provided on all 3 days.
Health & Wellness: Comprehensive Medical, Dental, and Vision coverage plus a $500 a year Wellness Benefit to spend towards personal and mental development.
Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.
Family-Friendly Culture: A generous parental leave policy and a supportive, family-friendly culture.
Regular company events: Fun events that celebrate our achievements and our team spirit.
Continuous Professional Development: Propel your career with continuous opportunities for professional development.
Lead Data activities for North and South America at Air Liquide. Manage a team responsible for data strategies, conversions, and integrations in global ERP programs.
Data Scientist role at Novartis supporting biopharmaceutical development through data and statistical sciences. Aiming to optimize development processes with data flow management and insights.
HR Data Scientist advancing KLA’s HR Analytics capability through AI and predictive insights. Collaborating with HR partners to provide data - driven decision - making support.
Data Science Specialist at Nasdaq analyzing financial crime data for insights. Collaborating with teams to create impactful reports and presentations for fraud detection solutions.
Technology Analyst specializing in data science & analytics at Northern Trust. Involves projects in data science including investment management and technology management tasks.
Data Scientist leading the NLP Squad at Telefónica Tech. Driving AI solutions and data analysis while ensuring best practices in a collaborative team environment.
Lead Data Scientist driving innovation in personalization and data insight generation for ESPN's streaming products. Providing technical leadership and overseeing data science projects in a collaborative environment.
Data Manager managing data analytics consulting projects at PwC. Collaborating on data - driven solutions and overseeing implementation while maintaining client relationships.
Principal Data Science Engineer at Qodea leading development of AI - driven reasoning tools and recommendation systems. Collaborating to bridge advanced analytics with practical implementation in Buenos Aires.
Lead Data Scientist at Target developing predictive and prescriptive algorithms for supply chain optimization. Collaborating across teams to foster data - driven decision - making while ensuring continuous innovation.