Data Science Manager (Games Tech)

TL;DR

Data Science Manager (Games Tech): Leading a team of data scientists and ML engineers to develop innovative data solutions that enhance gameplay, user engagement, and business outcomes. With an accent on building internal data tools and customer-facing data products. Focus on driving best practices in predictive modelling, reinforcement learning, and scalable ML infrastructure.

Location: Hybrid in London, United Kingdom with at least 3 days a week onsite in the central London office. Must be authorized to work in the UK without visa sponsorship.

Company

hirify.global is a global leader in social casino games, part of the Product Madness family, with a world-class team creating top-grossing titles and offices worldwide.

What you will do

• Mentor and develop a team of data scientists and ML engineers.
• Drive data science best practices including A/B testing, predictive modelling, and reinforcement learning.
• Own data science project execution from development to integration and outcome assessment.
• Translate analytical insights into actionable recommendations for senior leadership.
• Implement software engineering best practices for ML model development and internal tools.
• Collaborate with product and engineering teams to integrate analytical solutions into games and platforms.

Requirements

• Must be based in or able to work hybrid in London, UK with at least 3 days onsite.
• Authorized to work in the UK without visa sponsorship.
• 5+ years in data science with 2+ years in leadership roles.
• Expertise in clustering, predictive modelling, reinforcement learning, and Bayesian statistics.
• Experience in ML Ops, software engineering, and deploying ML models at scale.
• Proficiency in Python and familiarity with data processing technologies (Kafka, Spark) and cloud platforms (GCP, AWS, Azure).

Culture & Benefits

• Inclusive culture with a People First principle.
• Global inspiring workplace recognized with industry awards.
• Opportunities for career growth and development.
• Hybrid work model with flexibility.