Senior Data Scientist

With more than 20 years of proven experience, QUALCO is a leading Fintech solutions provider, offering a wide range of analytics-driven, highly scalable enterprise software solutions in over 35 countries worldwide. Our end-to-end technology solutions cover a wide range of needs for Banking, Financial Services, Utilities, Insurance, Retail organizations, and beyond.

We are looking for passionate Senior Data Scientist to join our team.

A Day in the Life of a Senior Data Scientist will include

• Lead the development and deployment of machine learning models and AI algorithms within the Azure ecosystem.
• Collaborate with data engineers to ensure data availability for model training and evaluation.
• Work on large-scale data projects using Azure Databricks and Azure Machine Learning.
• Perform predictive analytics and develop solutions using AI to meet business needs.
• Ensure that AI models are deployed and monitored effectively in the Azure environment.
• Effectiveness in communicating complex data science concepts clearly and effectively to technical and non-technical stakeholders, fostering collaboration.
• Mentor and guide junior data scientists in Azure-specific technologies, fostering a culture of continuous learning
• Ensuring that all activities and duties are carried out in full compliance with regulatory requirements and supporting the continued implementation of the Group Anti-Bribery and Corruption Policy.

Requirements

• University degree in Computer Science, Engineering, or a relevant discipline.
• 5+ years of experience in data science, with a focus on AI and machine learning.
• Expertise in Azure Machine Learning, Azure Databricks, and other Azure AI services.
• Strong skills in programming languages like Python, R, and expertise in frameworks such as TensorFlow or PyTorch.
• Proficiency with Apache Spark, Hadoop, and data manipulation libraries (e.g., pandas, Dask).
• Familiarity with tools like MLflow, Kubeflow, and containerization (Docker, Kubernetes).
• Experience with cloud-native AI model deployment and monitoring.
• Excellent written and verbal communication skills.
• Strong analytical thinking and problem-solving skills, with a focus on dissecting complex data challenges and delivering actionable insights
• Experience and willingness to work in an international/multicultural environment.
• Excellent knowledge of English language (written and verbal).

Additional Qualifications, knowledge and skills:

Must have a relevant certification, such as

• Microsoft Certified: Azure AI Engineer Associate

Nice to have:

• AWS Certified Machine Learning – Specialty or Google Cloud Professional Machine Learning Engineer or IBM Machine Learning Data Scientist
• Microsoft Certified: Azure Data Engineer Associate

Benefits

Your Life @ Qualco 
This role is a hybrid opportunity in Athens. 

As a #Qmember, you will live out every day in a truly human-centered culture, based on mutual respect, trust, and cooperation. Your performance and commitment to our shared goals will be recognized, and there will be great opportunities to ensure your career growth.  
Find out more about #LifeatQualco  

Join the #Qteam and enjoy: 

Competitive compensation, ticket restaurant card, and annual bonus programs

Cutting-edge IT equipment, mobile, and data plan

Modern facilities, free coffee and beverages, and indoor parking

Private health insurance, onsite occupational doctor, and workplace counselor

Flexible working model

Onsite gym, wellness facilities, and ping pong room

Career and talent development tools

Mentoring, coaching, personalized annual learning and development plan

Employee referral bonus, regular wellbeing, ESG, and volunteering activities

Your race, gender identity and expression, age ethnicity or disability make no difference in Qualco. We want to attract, develop, promote, and retain the best people based only on their ability and behavior.

Disclaimer: Qualco collects and processes personal data in accordance with the EU General Data Protection Regulation (GDPR). We are bound to use the information provided within your job application for recruitment purposes only and not to share these with any third parties. For more details on the processing of your personal data during the Recruitment procedure, please be informed in the Recruitment Notice, before the submission of your application.