Data Analytics Consultant job opportunity at EUROPEAN DYNAMICS.

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Date2026-03-02T10:10:52.306Z bot
EUROPEAN DYNAMICS Data Analytics Consultant
Experience: General
Pattern: Full-time
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loacation Athens, Greece
loacation Athens....Greece

Are you a dynamic and driven individual with a passion for artificial intelligence (AI) and natural language processing (NLP)? We're seeking a talented Data Analytics Consultant to join our team in Athens or work remotely. You'll be part of a highly professional team working on cutting-edge technologies to deliver impactful IT software projects for major international public organizations. At our company, you'll receive comprehensive training and support to fulfill your career aspirations. What You'll Do: Mine and analyze data from various data sources, in order to drive optimization and improvement of product development, marketing techniques, and business strategies; Assess the effectiveness and accuracy of new data sources and data-gathering techniques; Identify candidate models and algorithms matching the business problem; Coordinate with different functional teams to design models and monitor implementation and outcomes; Evaluate model quality and tune candidate algorithms/models; Develop processes and tools, in order to monitor and analyze model performance and data accuracy; Participate in the full development lifecycle, through design, implementation, testing, documentation, and maintenance of system components; Collaborate passionately with colleagues in a multinational environment, adhering to highly professional standards and methods; Ensure the delivery of quality software. University degree in Computer Science, Information Technology, Data Science, or other related fields; Working or research experience, preferably in a commercial/industrial context; Experience with text analytics and natural language processing methods and tools (deep learning experience will form an asset); Development experience using statistical computer languages (Python, R, etc), including programming skills in building and deploying machine learning models; Experience with Big Data technologies, such as Spark (and PySpark); Experience with SQL and exposure to ETL development; Good understanding of AI and machine learning techniques; Good understanding of data modeling and evaluation; Strong analytical capabilities, team and quality-oriented, keen to learn and excel; Familiarity with Software Engineering principles; Excellent written and oral communication skills in English.

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