Principal Data Scientist β€” ML Strategy & Player Insights in Royal Leamington Spa

Principal Data Scientist β€” ML Strategy & Player Insights in Royal Leamington Spa

Royal Leamington Spa Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Kwalee

At a Glance

  • Tasks: Lead data science and ML strategy, analyse player behaviour and market trends.
  • Company: Kwalee, a dynamic gaming company in Royal Leamington Spa.
  • Benefits: Competitive salary, private medical and dental insurance, and more.
  • Other info: Join a vibrant team with opportunities for professional growth.
  • Why this job: Make a real impact on gaming through data insights and mentoring.
  • Qualifications: Experience in data science and strong leadership skills.

The predicted salary is between 60000 - 80000 Β£ per year.

Kwalee in Royal Leamington Spa is looking for a Principal Data Scientist to lead data science and ML strategy in collaboration with the Director of AI and Technology. You will conduct high-impact modeling and experimentation to analyze player behaviour and market trends.

Your role will also involve mentoring junior data scientists, bridging business stakeholders with technical delivery, and advancing the studio’s data capabilities.

Competitive salary and extensive benefits including private medical and dental insurance are offered.

Principal Data Scientist β€” ML Strategy & Player Insights in Royal Leamington Spa employer: Kwalee

Kwalee is an exceptional employer that fosters a vibrant work culture in the heart of Leamington Spa, offering comprehensive employee benefits and a strong commitment to professional development. As an On-Site Facilities Lead, you will thrive in a collaborative environment where your contributions directly enhance the safety and efficiency of our studio, making every day rewarding and impactful.

Kwalee

Contact Details:

Kwalee Recruitment Team

We think you need these skills to ace Principal Data Scientist β€” ML Strategy & Player Insights in Royal Leamington Spa

Python
SQL
Communication Skills
Problem-Solving Skills
Data Engineering
Automation
Data Governance