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Data Scientist - Gaming

Location:
London
Salary:
£60000 - £75000 per annum + benefits, bonus
Job Type:
Permanent
Date Posted:
9 days ago
Expiry Date:
29/03/2025
Job Ref:
EPO0687995556_1739358808
Start Date:
12/02/2025
Contact:
Niall Wharton
Contact Email:
niall.wharton@xcede.com
Specialism:
Data ScienceAI & Machine LearningMachine LearningDataDigital & Product AnalyticsMarketing & Insight Analytics

Data Scientist

An exciting opportunity has emerged for a Data Scientist/Analyst to join a rapidly growing company in the online gaming sector. This innovative and forward-thinking organisation is revolutionising skill-based games, providing players with a highly engaging experience that rewards strategic gameplay. With a strong focus on data-driven decision-making, this role offers a unique chance to work at the cutting edge of the gaming industry while contributing to key business strategies.

About the Role

This is an opportunity to be part of an elite team where your insights will shape the future of gaming. The company fosters a highly collaborative and non-hierarchical culture, giving every team member the autonomy to drive impactful decisions. You will work alongside experienced industry professionals in a fast-paced, dynamic environment that values creativity, innovation, and analytical excellence.

Responsibilities:

  • Perform comprehensive data analysis on vast and intricate gameplay datasets to identify meaningful trends and drive strategic initiatives.
  • Extract valuable insights to refine game mechanics, balance in-game economies, and enhance overall player engagement.
  • Collaborate with marketing teams to build predictive financial models that optimise return on investment and improve campaign efficiency.
  • Create and maintain automated data infrastructure, including dashboards and reporting systems, to provide real-time performance tracking.
  • Work cross-functionally to plan and implement dynamic in-game activities and engagement strategies to maximise user retention.
  • Design and deploy advanced machine learning models to integrate data-driven solutions into core business operations.
  • Regularly communicate analytical findings to key stakeholders, influencing product development and marketing strategies.
  • Stay ahead of industry advancements by researching and adopting emerging AI and machine learning methodologies to enhance game performance and operational efficiency.

Requirements:

  • Commercial experience in data analytics, ideally with a focus on the online gaming industry.
  • Strong academic background (BA/B.Sc.) in Statistics, Mathematics, Engineering, Economics, or related fields.
  • Expertise in statistical modeling and programming using Python or R.
  • Proficiency in SQL with the ability to query large, complex datasets.
  • Experience working with BI visualisation tools (Tableau, Looker, etc.).
  • A structured and analytical mindset with the ability to translate complex data into clear business insights.
  • Excellent communication skills-able to effectively present data-driven recommendations to various stakeholders.
  • Passion for the gaming industry and a deep curiosity for understanding player behaviours and engagement trends.

If this role interests you and you would like to learn more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).

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Niall Wharton

Niall Wharton

Specialisms: Data, Data Engineering, AI & Machine Learning, AI Research, NLP, Machine Learning, Computer Vision, Generative AI, AI Engineering
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