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- Tasks: Design and build machine-learning models to enhance player experiences and optimise games.
- Company: Join Push Gaming, a creative leader in the gaming industry.
- Benefits: Enjoy a hybrid work environment with opportunities for growth and development.
- Other info: Collaborate with passionate experts in a fast-paced, innovative setting.
- Why this job: Make a real impact in the gaming world using cutting-edge AI and data technologies.
- Qualifications: Experience in data science, MLOps, and strong analytical skills required.
The predicted salary is between 50000 - 60000 £ per year.
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.
Location: Hybrid in any of the following - UK (London), Poland (Warsaw), Malta (Ta' Xbiex), Isle of Man. This is initially a 1 year fixed contract.
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.
Data Scientist, AI & MLOps (mid-level) - Contract employer: Push Gaming
Contact Detail:
Push Gaming Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, AI & MLOps (mid-level) - Contract
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Push Gaming. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially any work with machine learning models or MLOps. This gives us a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled real-world problems using data – we love hearing about practical experiences!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Push Gaming.
We think you need these skills to ace Data Scientist, AI & MLOps (mid-level) - Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with machine learning models, data engineering, and MLOps. We want to see how your skills align with what we do at Push Gaming!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and gaming, and explain how you can contribute to our innovative projects. Let us know why you're excited about joining Push Gaming!
Showcase Relevant Projects: Include examples of your previous work that relate to the job description. Whether it's a project involving Snowflake or deploying ML models, we love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Push Gaming!
How to prepare for a job interview at Push Gaming
✨Know Your Models
Make sure you can discuss your experience with machine-learning models in detail. Be ready to explain how you've designed, built, and validated models for specific use cases like player churn or fraud detection. This shows you understand the practical applications of your skills.
✨Get Familiar with Snowflake
Since Snowflake is central to the role, brush up on your data engineering skills related to this platform. Be prepared to talk about how you've prepared and transformed large datasets in previous projects. Highlight any specific challenges you faced and how you overcame them.
✨Showcase Your MLOps Knowledge
Understand the CI/CD pipelines and containerisation processes, especially with Docker. Be ready to discuss how you've implemented these in past roles to ensure smooth AI deployments. This will demonstrate your readiness to contribute to their MLOps ecosystem.
✨Communicate Effectively
Since collaboration is key at Push Gaming, practice articulating complex technical concepts in a way that non-technical stakeholders can understand. Prepare examples of how you've successfully communicated with different teams to translate business problems into measurable ML solutions.