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It will be your job to build machine learning models and design experiments utilizing the full data science lifecycle that will feed into data products to support our games. Predictive modelling, machine and deep learning approaches will be expected to be in your toolbox as will a curious and exploratory mindset. You will be suggesting new areas of investigation to drive player engagement, experience and ensure the success of Jagex as a whole.
This role is key to our future data science function, and to that end you will receive coaching and mentoring within the data science team. You will work closely with our data engineers and analysts to build and release data science tools and models that will have an impact on our games, players and staff. This is an opportunity to increase and hone your data science skills, putting them to practical use, placing yourself at the innovative centre of ADSE, maximising the impact data science can have within Jagex. Communication skills will be a key part of this journey, and any data scientist will engage with many teams across the business, to effectively communicate ideas and model outcomes.
- Collaborate with data engineering teams to build model deployments and data pipelines
- Collaborate with analysts to understand business questions and build better models
- Work closely with the Studio to identify issues and use data to propose solutions for effective decision making
- Stay up to date with industry and data science standard technologies, and evangelize them among the team when relevant
- Identify new avenues for exploration: combining game world data with game player data with commercial, marketing, store front and a myriad of other sources to forge new ground
- Coach, mentor, and help build data science capability within ADSE
Requirements
Required Qualifications
- A bachelor’s degree in data science, computer science, statistics or closely related field. A master’s in these areas would be beneficial but not required if the degree is data science and/or machine learning focused.
- 1+ years of industry experience in data science. This can be as an intern, or part of a year placement during education
- Understanding of common machine learning algorithms and their applicability
- Proficiency in Python and common data science libraries e.g. pandas, scikit-learn, keras, numpy etc
- Basic knowledge of SQL
