Data Scientist - Machine Learning/AI

About the role

SmartData Analytics Ltd is a Malta-based analytics SME working with a mix of local and international clients in fintech, iGaming and e-commerce. The company operates from SmartCity with a compact team of data engineers, data scientists and product analysts focused on turning business problems into scalable ML solutions.

You will join a collaborative data team responsible for end-to-end model development: data exploration, feature engineering, modelling, validation and production deployment. The role requires hands-on work with Python, ML libraries and cloud services, and frequent collaboration with product managers, engineers and stakeholders to translate model outputs into business impact.

This position offers growth opportunities, exposure to varied datasets and production ML systems, and a hybrid working model with regular in-office days for team collaboration. The company supports training, conferences and a clear path to senior data or ML engineering roles.

About SmartData Analytics Ltd

SmartData Analytics Ltd is a Maltese data science consultancy delivering ML-driven solutions for fintech, iGaming and retail clients. The team combines applied research with pragmatic engineering to deploy production-ready models that improve decision-making and automate processes.

What you can expect

• Hybrid work model with a modern SmartCity office
• Training budget and conference attendance support
• Competitive salary with performance-related bonus
• Clear technical progression into senior data roles

Key responsibilities

• Design, develop and validate supervised and unsupervised machine learning models for business use-cases
• Perform feature engineering and exploratory data analysis on structured and unstructured datasets
• Collaborate with data engineers to build reliable data pipelines and ensure reproducible model training
• Deploy models to production environments and monitor model performance and data drift
• Write clear documentation, present findings to stakeholders and translate results into actionable recommendations
• Implement best practices for model testing, versioning and MLOps (CI/CD, Docker, monitoring)
• Support product teams in integrating ML outputs into applications and dashboards
• Mentor junior data scientists and contribute to team learning sessions

Requirements

• 3+ years professional experience in data science, machine learning or a related role
• Strong proficiency in Python and common ML libraries (scikit-learn, pandas, numpy); experience with TensorFlow or PyTorch is required for deep learning tasks
• Solid experience with SQL and working with relational databases
• Practical experience deploying models using cloud platforms (AWS/GCP/Azure) or containerised workflows (Docker)
• Good understanding of statistics, experiment design and model evaluation metrics
• Experience with data pipeline tools or orchestration frameworks (Airflow, Prefect or equivalent)
• Fluent English (spoken and written); ability to communicate technical results to non-technical stakeholders
• Right to work in Malta or ability to obtain work authorisation (candidates should indicate status in application)

How to apply

Send your CV, a short cover note and links to relevant project portfolios or GitHub to [email protected]. Please include 'Data Scientist - Machine Learning/AI' in the subject and indicate your notice period and preferred start date.