About Push Gaming
At Push Gaming, we design games that blend creativity, data, and technology to deliver unforgettable player experiences. Our Data & Analytics division powers this innovation by unlocking the intelligence within our data.
As a mid-level Data Scientist, AI & MLOps, you’ll be part of a growing team building the next generation of predictive, automated, and data-driven systems that influence everything from game design and player engagement to commercial performance and risk management. Our tech stack is cloud-native and Snowflake-centric, enabling fast experimentation and scalable deployment of AI models across the business.
This role is ideal for a hands-on data scientist with experience taking models from concept to production. You’ll design, train, and deploy ML models within our Snowflake environment, build automated pipelines, and contribute to an MLOps framework that ensures reliability, scalability, and measurable value. You’ll collaborate closely with data engineers, game designers, analysts, and product teams to ensure every model delivers business impact.
Location: Hybrid in any of the following - UK (London), Poland (Warsaw), Malta (Ta' Xbiex), Isle of Man.
What you'll be doing:
Model Development: Design, build, and validate machine-learning models for use cases such as player churn, LTV forecasting, fraud detection, and game optimisation.
Data Engineering: Work within Snowflake to prepare, transform, and optimise large, complex datasets for modelling and analytics.
MLOps Automation: Implement CI/CD pipelines, containerisation (Docker), and model-monitoring frameworks to ensure production-grade AI deployment.
Collaboration: Partner with game, commercial, and finance teams to translate business problems into measurable ML solutions.
Performance Tracking: Establish KPIs and continuous-improvement loops for models in production.
Documentation & Governance: Maintain robust documentation, version control, and compliance alignment (GDPR, ISO).
Innovation: 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
Access modern cloud technologies with Snowflake at the core of our stack
Collaborate with experts who value innovation, learning, and measurable impact
Core Technologies
Snowflake – Central data platform for modelling, analytics, and orchestration
Python – Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch
SQL – Advanced Snowflake SQL and stored procedures
Docker / Kubernetes – Containerisation and orchestration
Airflow / dbt – Workflow and transformation automation
Power BI / Tableau – Visualisation and insight delivery
Git / GitHub / Bitbucket – Version control and collaboration
AWS / Azure / GCP – Cloud deployment environments
What you'll bring to the role:
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
Why join us?
It’s a really exciting time to join Push Gaming. We’re expanding our teams to deliver some stellar work.
We are passionate about creating premium quality games and will never compromise on this. The approach we take in building and strengthening our team is no different. We set out to attract and retain high performers and are committed to seeking like-minded individuals who share our vision for excellence and quality.
In turn, we offer all the tools and support to allow individuals to grow and thrive, while achieving both personal and company goals in an environment that’s built around trust, collaboration, transparency and accountability.
