BA
Data Manager leading data strategy and governance for Global Payments Solutions at Bank of America. Managing data architecture aligning with business and regulatory needs while overseeing complex data ecosystems.
About the role
- Mid-level Data Scientist developing AI and MLOps systems at Push Gaming. Collaborating on data-driven solutions for game design and commercial performance.
Responsibilities
- Design, build, and validate machine-learning models for use cases such as player churn, LTV forecasting, fraud detection, and game optimisation.
- Work within Snowflake to prepare, transform, and optimise large, complex datasets for modelling and analytics.
- Implement CI/CD pipelines, containerisation (Docker), and model-monitoring frameworks to ensure production-grade AI deployment.
- Partner with game, commercial, and finance teams to translate business problems into measurable ML solutions.
- Establish KPIs and continuous-improvement loops for models in production.
- Maintain robust documentation, version control, and compliance alignment (GDPR, ISO).
- Research and integrate emerging AI tools and generative approaches relevant to iGaming.
- Help build a scalable AI & MLOps ecosystem that powers every aspect of our business.
- Work in a creative, fast-paced environment where data directly shapes our games.
Requirements
- Strong analytical and statistical modelling foundation
- Experience with data pipeline design and feature engineering in Snowflake or equivalent platforms
- Proven track record of deploying and maintaining ML models in production environments
- Familiarity with CI/CD, containerisation, and cloud compute services
- Understanding of MLOps best practices and model governance
- Ability to translate business goals into technical deliverables
- Excellent communication, documentation, and stakeholder-management skills
- Curiosity, ownership, and a drive for continuous improvement
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related discipline
- Solid hands-on experience in data science or MLOps roles
- Demonstrated experience working with Snowflake, Python, and SQL on production-grade projects
- Experience in iGaming, entertainment, or digital-product analytics is advantageous.
Benefits
- Professional development opportunities
- Equipment allowances
- Flexible working hours
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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