Data Scientist

UVIK Software is looking for an experienced and proactive Senior Data Scientist to join our team. You will take ownership of end-to-end machine learning solutions — from exploration to deployment — and turn complex business challenges into actionable insights. This role is perfect for someone who thrives in a fast-paced, data-driven environment and wants to make real impact through intelligent systems. 

What You’ll Do:

• Design, develop, and deploy machine learning models using structured and unstructured data
• Own the full ML lifecycle: data exploration, feature engineering, model training, evaluation, deployment, and monitoring
• Use Apache Spark (PySpark) to efficiently process large-scale datasets in distributed environments
• Collaborate with data engineers, product managers, and stakeholders to align ML models with business goals
• Perform model validation and performance tuning, ensuring reproducibility with robust pipelines
• Work in Python with libraries such as pandas, scikit-learn, NumPy, MLflow
• Use Git for version control and collaborate via code reviews and structured workflows
• Present insights, recommendations, and results clearly to both technical and non-technical audiences
• Stay up to date with AI/ML trends and assess new tools and techniques for implementation
• Document models, experiments, and workflows for clarity and future use 

What We’re Looking For:

• 4+ years of experience in machine learning, AI, and statistical modeling
• Deep expertise in supervised, unsupervised, and ensemble learning methods
• Strong proficiency in Python for data science and machine learning
• Hands-on experience with Apache Spark / PySpark for distributed data processing
• Solid knowledge of Git and collaborative development practices
• Experience building scalable, production-grade ML pipelines and working with large datasets
• Strong problem-solving skills and solid foundations in math and statistics
• Excellent communication skills — ability to explain technical results to non-technical audiences
• Based in an EU country 

Nice to Have

• Experience with cloud-based ML platforms