Data Scientist working with data analytics to drive efficiency improvements in the energy sector. Collaborate with teams to build and deploy models for actionable insights.
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
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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