Data Scientist, AI & MLOps (mid-level) - Permanent at Push Gaming

Ta' Xbiex, Central Region, Malta -

Full Time

Start Date

Immediate

Expiry Date

29 Jun, 26

Salary

0.0

Posted On

31 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, MLOps, Machine Learning, Snowflake, Python, SQL, Docker, Kubernetes, CI/CD, Data Engineering, Feature Engineering, Model Governance, Cloud Computing, Data Analytics, Statistical Modelling, Documentation

Industry

Gambling Facilities and Casinos

Description

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.

Responsibilities

The role involves designing, building, and validating machine-learning models for various use cases, as well as implementing MLOps automation for production-grade AI deployment. Collaboration with cross-functional teams is essential to translate business problems into measurable ML solutions.