Data Scientist

At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a Data Scientist to join our UniQue team.

What will you be doing in this role?

• Use data science and analytics tools (e.g., Python, R, Jupyter Notebook, Power BI, KNIME) for data processing and analysis.
• Perform data analysis and build data models using modern analytics platforms.
• Develop and refine machine learning models and AI algorithms.
• Carry out data integration and transformation tasks (ETL processes).
• Conduct data analytics activities, including creation of dashboards and reports.
• Coordinate the implementation of technical architectures, particularly in hybrid-cloud environments.
• Serve as the technical interface between project leaders and development teams.
• Analyze and integrate various information systems.
• Review and evaluate the architecture of existing systems.
• Produce detailed software architecture documentation.
• Participate in technical working groups, project meetings, and user discussions.
• Support testing, technical documentation, deployment, evaluation, and reporting phases.
• Collaborate with business analysts, users, customers, developers, and project leaders to ensure alignment across all stakeholders.

Requirements

What will you be bringing to the team?

• Hold at least a Bachelor's Degree.
• At least 5 years of experience as a product owner or project manager, with proven ability to gather stakeholder needs and translate them into technical requirements
• Minimum 3 years of experience with KNIME Analytics, including building workflows and setting up KNIME Desktop and/or Server instances.
• At least 3 years of experience with Power BI, including building reports and embedded apps using diverse data sources and for near real-time use cases.
• Minimum 3 years of development experience in modern programming languages and frameworks, with strong proficiency in Python.
• Experience developing predictive models using various tools and platforms, preferably on Azure.
• Very good knowledge of data modelling, data integration, and data visualisation techniques, especially using KNIME and Power BI.
• Strong communication skills with both technical and non-technical audiences.
• Ability to write clear, structured, and well-organized technical documentation.
• Proficiency in English language at a minimum B2 level.

At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics. Take a look at our Diversity, Equality & Inclusion Policy for more information.