Data Scientist

O projekcie: At Link Group we build tech teams for Fortune 500 companies and the hottest startups in the world. We run many different projects for which we are looking for experienced and talented candidates for clients from various industries. If you join us, we will make sure that the offer is tailored to your needs. We want you to receive tasks that match your interests, meet your financial expectations and, above all, will allow you to develop in the professional field. Currently, we are looking for Data Scientists to join our teams and work on the most advanced, innovative and diverse projects on the IT market. The project you will join is from the finance/stock exchange industry. Our client creates a web portal to manage financial accounts and make financial investments. Our Agile teams strive to use the latest technologies that ensure an appropriate level of security. Tech stack: SQL, tSQL, Microsoft SQL Server, Python, Power BI, Azure We offer: - Private healthcare - Sport card - Foreign languages classes - Life insurance - Cafeteria system Wymagania: - At least 2 years of professional experience in the field of advanced analytics- Practical knowledge and understanding of relational databases in the field of SQL (preferred use of tSQL & Microsoft SQL Server)- Knowledge of the tools and methods used for data analysis (e.g. Python) and visualization (e.g. PowerBI)- Independence in action, including the assessment of ideas in terms of the possibility and legitimacy of their implementation- Ability to communicate freely and cooperate at the inter-departmental / business level Nice to have: - Experience in creating solutions based on the Microsoft Azure environment (Azure Data Factory / Azure Databricks, Azure Data Lake / Logic Apps / Power Apps) Codzienne zadania: - Automating reporting and analytical processes to support business processes; - Optimizing the effectiveness of company’s activities; - Dealing with analytical support for the implementation of company’s solutions; - Supporting the implementation of machine learning solutions and advanced analytics (segmentation, predictive modeling, real-time modeling)