Jagex
Junior Data Scientist
JagexUnited Kingdom1 day ago
Full-timeEngineering, Information Technology
As a Junior Data Scientist at Jagex, you'll help design experiments and build models that make a real impact on our games, players, and teams. You'll work on projects that improve player engagement, optimise marketing, and support commercial decision-making — all while developing your skills in a hands-on, collaborative environment.

It will be your job to build algorithms and design experiments that will feed into data products that support the games in commercial, marketing and gameplay areas. Predictive modelling, machine and deep learning approaches will be expected to be in your toolbox. You will be suggesting new areas of investigation to drive player engagement, experience and increase the bottom line.

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 systems that will have an impact on our games, players and staff. This is an opportunity to increase and hone your data science skills, put them to practical use, placing yourself at the innovative centre of ADSE, maximising the impact data science can have within Jagex.

  • 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

  • Some experience (academic, internship, or commercial) working with data analysis or machine learning projects.
  • Basic proficiency in Python
  • Comfortable writing SQL to query and manipulate data.
  • Strong analytical mindset and enthusiasm for problem-solving.
  • Good communication skills — able to share findings clearly with non-technical colleagues.
  • Degree (or equivalent experience) in a quantitative field such as Computer Science, Mathematics, Statistics, or similar.

Key Skills

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