Senior Data Scientist (Data Science/ML)

TL;DR

Senior Data Scientist (Data Science/ML): Design and deliver models that quantify player value, engagement, and growth, shaping strategies across the player lifecycle with an accent on capturing player behaviours and monetization patterns using advanced ML and deep learning approaches. Focus on translating sophisticated business needs into modeling strategies and ensuring solutions are robust, scalable, and production-ready.

Location: Hybrid Working (within Flexmodes)

Company

hirify.global is a global leader in entertainment producing The PlayStation family of products and services.

What you will do

• Design and deliver models that quantify player value, engagement, and growth, shaping strategies across the player lifecycle.
• Apply advanced ML and deep learning approaches to capture player behaviors and monetization patterns.
• Partner with senior stakeholders to define roadmaps and ensure CLV and Next Best Action modeling advises high-impact decisions.
• Translate sophisticated business needs into modeling strategies that guide engagement and growth.
• Work with engineering partners to ensure solutions are robust, scalable, and production-ready.
• Mentor colleagues and influence best practices, fostering technical growth and knowledge sharing across the team.

Requirements

• Proven experience building predictive models for customer value, engagement, retention, or monetization.
• Expertise in modern ML and deep learning techniques, including transformers, embeddings, and sequence models for behavioral or transactional data.
• Ability to work with large-scale, complex datasets to generate actionable insights and scalable models.
• Proficiency in Python, PySpark, and SQL, with fluency in common ML libraries and experience building robust modeling pipelines.
• A track record of shaping modeling strategies and ensuring solutions are impactful, scalable, and production-ready.
• Excellent communication skills, with the ability to explain concepts persuasively to senior business leaders.

Nice to have

• Experience with workflow orchestration tools (e.g., Airflow), feature stores, or visualization platforms (e.g., Tableau, Domo).
• Proven experience in gaming, e-commerce, or subscription-based business models.
• Experience deploying ML models in production environments and working with MLOps tools.
• A personal interest in gaming and entertainment.

Culture & Benefits

• Discretionary bonus opportunity
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidized Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers