Data Science Intern

Gaming Innovation Group

Data Science Intern developing data-driven solutions in the iGaming industry. Collaborating with experienced Data Scientists and Engineers to deliver impactful projects.

Posted 7/29/2026internshipSt Julians • 🇲🇹 MaltaEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong proficiency in Python and machine learning techniques to develop and optimize data-driven solutions for player engagement and retention. Capable of analyzing large datasets and presenting insights to both technical and business stakeholders.

Highest-signal resume keywords

Python ProficiencyMachine Learning TechniquesData Analysis SkillsSQL SkillsStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonMachine LearningData AnalysisStatisticsSQLPandasNumPyScikit-learnCustomer SegmentationChurn Prediction Models

Soft Skills

CuriosityProblem SolvingCommunication

Industry Keywords

Game Recommendation EngineAnti-Money LaunderingAI SolutionsData ScienceCustomer EngagementOperational EfficiencyBusiness GrowthData-Driven SolutionsFraud PreventionCommercial Growth

Tech Stack

Tools & technologies

NumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

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.
How commercial Data Science products are designed, developed, and maintained.
Best practices for machine learning experimentation, model deployment, and monitoring.
How to translate business challenges into data-driven solutions.
The end-to-end lifecycle of AI and Data Science projects, from ideation and experimentation through to production.
How Data Science contributes to player engagement, customer retention, fraud prevention, and commercial growth.
Present your work to technical and business stakeholders during quarterly team showcases.
Collaborate with experienced professionals in a supportive and innovative environment.
Receive a tailored learning and development plan.
Gain valuable industry experience while contributing to products used by operators around the world.

Requirements

What you’ll need

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

Comp & perks

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