Data Analytics Consultant
A Data Analytics Consultant builds and deploys AI/NLP models to analyze public-sector data, optimizing government projects. Core work includes ETL, Spark/PySpark, Python/R, and collaborating with cross-functional teams to improve business strategies and software systems.
- Compensation
- Not disclosed
- Location
- Athens, Attica, Greece
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Data analytics
- Posted
Skills
Must have
- 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.
Full description
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.
Requirements
- 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.
Benefits
We believe in rewarding talent and dedication. Here's what you can expect as part of our team:
- Competitive full-time salary;
- Private Health Coverage on the Company’s group program;
- Flexible Working Hours;
- Top-of-the-Line Tools;