Head of Data Science, Games Tech (Hybrid London)

Head of Data Science, Games Tech (Hybrid London)

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Talanto

At a Glance

  • Tasks: Lead a team of data scientists and ML engineers to create innovative data solutions.
  • Company: Join Aristocrat, a leader in gaming technology with a focus on collaboration.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a dynamic team with exciting projects and career advancement potential.
  • Why this job: Make an impact in the gaming industry by driving data science best practices.
  • Qualifications: Experience in data science, predictive modelling, and team leadership required.

The predicted salary is between 80000 - 100000 Β£ per year.

Aristocrat is seeking a Data Science Manager (Games Tech) to lead a team of data scientists and ML engineers in London.

You will drive best practices in predictive modelling and reinforcement learning, while building internal data tools and customer-facing data products.

You will mentor the team, own end-to-end project delivery, and translate insights for senior leadership, with a strong emphasis on scalable ML infrastructure and collaboration with game teams.

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Head of Data Science, Games Tech (Hybrid London) employer: Talanto

Almedia is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about machine learning and real-time personalization. With a strong emphasis on employee growth, you will have the opportunity to mentor fellow engineers while collaborating with cross-functional teams in the vibrant city of London. The hybrid working arrangements and commitment to impactful projects make Almedia a rewarding place to advance your career in AdTech.

Talanto

Contact Details:

Talanto Recruitment Team

We think you need these skills to ace Head of Data Science, Games Tech (Hybrid London)

Communication Skills
Problem-Solving Skills
Python
SQL
Data Engineering
Attention to Detail
Automation