AI Data Science Researcher (LITHUANIA)

Our client is an innovative digital healthcare platform that supports urgent care staff scheduling and integrates seamlessly with national health systems. It ensures timely patient care and optimal use of healthcare resources by enabling flexible workforce allocation based on clinician availability, location, and expertise. We are looking for a specialist based in Lithuania to join our team.

A data science and AI research initiative focused on solving real-time capacity planning and forecasting challenges in urgent healthcare services. The goal is to apply machine learning techniques to optimize workforce management, predict service availability, and improve patient outcomes. The project works with real operational data from urgent care teams (nurses, paramedics, etc.) to deliver AI-driven insights for short- and long-term staffing and scheduling.

• Conduct exploratory data analysis (EDA) on operational datasets
• Pre-process data and handle missing values or inconsistencies
• Apply a range of machine learning techniques, including regression, classification, clustering, and time-series forecasting
• Explore key research questions such as: real-time prediction of available capacity
• Impact analysis of last-minute schedule changes (e.g., cancellations or overruns)
• Influence of external factors (weather, traffic, etc.) on workforce availability
• Develop proof of concept models for capacity forecasting
• Provide recommendations for future AI integration into a workforce management platform
• Design clear and actionable data visualisations for decision-makers

• Proficiency in Python or R and data science libraries (e.g., pandas, NumPy, SciPy)
• Experience with ML frameworks such as scikit-learn, TensorFlow, PyTorch
• Familiarity with gradient boosting models (XGBoost, LightGBM, CatBoost)
• Skilled in working with both structured and unstructured data
• Background in time-series forecasting, regression, classification, and clustering
• Interest in applying AI to real-world healthcare challenges
• Ability to clearly interpret and visualise complex datasets

• Currently pursuing a PhD in Data Science, AI, or Machine Learning

• Professional Development:

— Experienced colleagues who are ready to share knowledge;

— The ability to switch projects, and technology stacks, try yourself in different roles;

— More than 150 workplaces for advanced training;

— Study and practice of English: courses and communication with colleagues and clients from different countries;

— Support of speakers who make presentations at conferences and meetings of technology communities;

— Stable income (Employment Contract with taxes allocated to Lithuania)

• The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;

• Friendly atmosphere, concern for the comfort of specialists;

• Flexible schedule and opportunity to work remotely within Lithuania.

To apply or inquire, please copy the following email address and paste it into your preferred email client: careers.riga@dataart.com