Gaming Innovation Group
Data Science Intern
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Data Science Intern
Application Deadline: 7 August 2026
Department: Technology
Employment Type: Internship
Location: Malta
Reporting To: Jake Bonnici
Description
Join our Data Science Team within the wider Data Department and gain hands-on experience solving real business challenges in the fast-paced iGaming industry.
As a Data Science Intern, you'll work alongside experienced Data Scientists, Data Engineers, and Product teams to design, develop, and deploy data-driven solutions that create measurable business impact. You'll be encouraged to experiment, challenge assumptions, and transform ideas into production-ready products powered by Data Science and AI.
Key Responsibilities
- Improving and optimising our Game Recommendation Engine (GRE) to deliver personalised player experiences and increase engagement.
- Developing customer segmentation solutions that help operators better understand their players and tailor their offerings.
- Enhancing Anti-Money Laundering (AML) systems using advanced machine learning and deep learning techniques.
- Building and improving customer churn prediction models to help operators identify at-risk players and improve retention.
- Exploring innovative AI solutions that drive customer engagement, operational efficiency, and business growth.
- Building, testing, and deploying machine learning models in a production environment.
- Analysing large-scale datasets to uncover insights and opportunities for optimisation.
- Learning how commercial Data Science products are designed, developed, and maintained.
- Learning best practices for machine learning experimentation, model deployment, and monitoring.
- Learning how to translate business challenges into data-driven solutions.
- Learning the end-to-end lifecycle of AI and Data Science projects, from ideation and experimentation through to production.
- Learning how Data Science contributes to player engagement, customer retention, fraud prevention, and commercial growth.
- Learning about Machine Learning & Deep Learning frameworks.
- Learning about MLflow, SQL, and Python.
- Learning about real-time data pipelines.
- Presenting your work to technical and business stakeholders during quarterly team showcases.
- Collaborating with experienced professionals in a supportive and innovative environment.
- Receiving a tailored learning and development plan.
- Gaining valuable industry experience while contributing to products used by operators around the world.
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Requirements
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- Currently enrolled in, or recently graduated from, a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or another quantitative field.
- Strong proficiency in Python, including experience with libraries such as Pandas, NumPy, and Scikit-learn.
- Basic SQL skills for data extraction, transformation, and analysis.
- A solid understanding of statistics, machine learning concepts, and data analysis techniques.
- Curiosity and a willingness to experiment, learn, and solve complex problems.
- Strong communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
- A passion for Data Science, AI, and building solutions that create real business value.
Benefits
- Great career development opportunities
- Hybrid working model
- International Health Insurance
- Health and Wellbeing Package (350 EUR per year)
- Birthday Day Off
- Me Time - 1 day off per year
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