Data Scientist, AI & MLOps (mid-level)

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.

Role overview

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.

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

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.