Data Scientist (AI & Cloud)

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

What will you be doing in this role?

• Advice and assistance, technology watch, evaluation studies, architectural considerations, applicable standards, solution patterns and best practices in following areas of expertise: cloud systems, Business Intelligence, Data Analytics, Artificial Intelligence.
• Data analysis and data modelling.
• Development and refinement of machine learning models and AI algorithms.
• Analysis of the integration of different information systems.
• Coordination of the implementation of the technical architecture
• Technical interface between the project leaders and other developers.
• Production of software and architecture documents, including technical documentation.
• Review of the architecture of existing systems.
• Review of technical specifications and software deliverables.
• Participation in technical working groups, progress meetings and meetings with users.
• Assistance during relevant parts of testing, analysis, technical documentation, deployment, evaluation and reporting.
• Elaboration of functional and non-functional requirements and business case analysis in the field of above-mentioned areas of expertise.

Requirements

What do you need to succeed in this position?

• Master's degree in IT and minimum 4 years of relevant experience (or Bachelor's degree in IT and minimum 7 years of experience).
• At least 2 years of experience in Natural Language Processing (NLP), Machine Learning and data analytics.
• Minimum 2 years of experience in applying modern data/text analytics tools such as chatbots, data mining, predictive modelling, segmentation and clustering analysis, data visualisations.
• At least 2 years experience in Python for data analytics or equivalent.
• Minimum of 2 years experience with cloud, e.g., Azure services or AWS services.
• Data Mining, data preparation for ML / Deep Learning algorithms.
• Experience with Python, R, Tensorflow, PyTorch, Jupyter Notebook, or similar.
• Previous experience in data visualization / BI tools and techniques (PowerBI etc.).
• Experience in Web development (HTML, CSS, Javascript).
• Prior exposure in Docker software virtualization and deployment is an asset.
• Knowledge of project management methodologies (Agile, Scrum) is an asset.
• Certificates are regarded as an asset: Certification in PM2, or other PM methodology frameworks, Data Analytics or cloud certifications.
• Excellent English language skills(C-level, written and spoken).

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.