At a Glance
- Tasks: Design and deploy machine-learning models to enhance player experiences and game performance.
- Company: Join Push Gaming, a creative leader in the gaming industry focused on innovation.
- Benefits: Enjoy a hybrid work environment, competitive salary, and opportunities for personal growth.
- Other info: Collaborate with experts in a fast-paced environment that values creativity and measurable impact.
- Why this job: Be part of a dynamic team shaping the future of gaming with cutting-edge AI technology.
- Qualifications: Experience in data science, MLOps, and proficiency in Snowflake, Python, and SQL.
The predicted salary is between 36000 - 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.
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. 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) employer: Push Gaming
At Push Gaming, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. As a mid-level Data Scientist, AI & MLOps, you'll have the opportunity to work with cutting-edge technologies in a collaborative environment that values creativity and continuous improvement. With a strong focus on personal and professional growth, we provide the tools and support necessary for you to thrive while contributing to the development of premium quality games.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, AI & MLOps (mid-level)
✨Tip Number 1
Network like a pro! Reach out to current employees at Push Gaming on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the job. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with Snowflake, Python, and MLOps practices. We want to see how you can apply your knowledge to real-world scenarios.
✨Tip Number 3
Showcase your projects! Bring examples of your previous work, especially those involving ML models and data pipelines. This will help us see your hands-on experience and how you approach problem-solving in a creative way.
✨Tip Number 4
Don’t forget to express your passion for gaming and data! At Push Gaming, we love when candidates share their enthusiasm for both the industry and the technology. Let us know how you can contribute to our mission of creating unforgettable player experiences.
We think you need these skills to ace Data Scientist, AI & MLOps (mid-level)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with Snowflake, Python, and MLOps practices to show us you’re the right fit for our team.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about data science and how you can contribute to our innovative projects. Share specific examples of your past work that align with what we do at Push Gaming.
Showcase Your Projects:If you’ve worked on relevant projects, don’t hesitate to include them! Whether it’s deploying ML models or automating pipelines, we want to see how you’ve applied your skills in real-world scenarios.
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 Tech Stack
Familiarise yourself with the core technologies mentioned in the job description, especially Snowflake, Python, and SQL. Be ready to discuss your hands-on experience with these tools and how you've used them in past projects.
✨Showcase Your MLOps Knowledge
Prepare to talk about your experience with CI/CD pipelines, containerisation, and model governance. Think of specific examples where you implemented these practices and how they improved the deployment process.
✨Translate Business Needs into Data Solutions
Be ready to demonstrate how you've translated business problems into measurable ML solutions. Use examples from your previous roles to illustrate your ability to collaborate with cross-functional teams and deliver impactful results.
✨Ask Insightful Questions
Prepare thoughtful questions about Push Gaming's approach to data science and MLOps. This shows your genuine interest in the role and helps you understand how you can contribute to their innovative projects.