Hybrid Data Scientist

at FINARTIX Fintech Solutions S.A.

• Job title: Data Scientist
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Google Cloud Platform, NoSQL, Numpy, PySpark, Python, PyTorch, Scikit-Learn, SQL, Tensorflow
• Location requirements: Hybrid, Athens, Greece

About the role

• Data Scientist developing technology-based solutions for clients in Greece. Collaborating with a team to enhance clients' data ecosystems and business strategies.

Responsibilities

• Participate in full software development lifecycle implementing, testing and maintaining custom data solutions
• Select appropriate methods for collecting and analyzing data, and develop informed recommendations that shape or support the client’s business strategy
• Design, develop, and deploy machine learning models, with a strong emphasis on LLMs for diverse NLP applications.
• Lead the fine-tuning of pre-trained LLMs for specific downstream tasks, optimizing for performance and domain relevance.
• Implement and explore model quantization techniques to reduce model size and inference latency, enabling efficient deployment on various hardware.
• Develop and optimize ML models for NLP tasks using the Hugging Face Transformers library (e.g., text classification, named entity recognition, sentiment analysis, summarization).
• Conduct thorough experimentation and evaluation of model performance, ensuring robustness and accuracy.
• Collaborate with data scientists and software engineers to integrate ML models into production systems and MLOps pipelines.
• Act as a technical consultant for the client
• Work as a key member of an Agile Team

Requirements

• BS/MS degree in Computer Science, Engineering or related field (mandatory)
• Minimum of 3 years of relevant experience on Data Science or Machine Learning roles using Python and Python Libraries (PySpark, Numpy, Scikit-Learn etc.)
• Strong skills working with algorithms, computational complexity, statistics and ML/AI techniques
• Experience in working with large datasets (SQL/NoSQL)
• Strong practical experience with Large Language Models (LLMs), including their architecture, training, and inference.
• Proven experience in fine-tuning LLMs for specific tasks and datasets.
• Hands-on experience with model optimization techniques such as quantization, pruning, and distillation.
• Proficiency with the Hugging Face Transformers library and its ecosystem for developing NLP models.
• Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow.
• Experience with MLOps practices, including model versioning, deployment, and monitoring.
• Familiarity with cloud platforms (e.g., AWS, Azure, preferably GCP) for ML model deployment.
• Very Good Testing & Quality Assurance skills
• Able to work independently and as part of a group
• Analytical thinking & Problem-Solving Attitude
• Knowledge of Microsoft Office
• Languages required: English and Greek, both written and verbal.

Benefits

• Professional development through participation in challenging, business projects in different industries.
• Working in a dynamic and fast-growing banking Technology Company with recognized partners.
• Opportunity to work in a diverse environment with talented colleagues.
• Competitive remuneration package.
• Private Health Insurance.
• Training & Development.
• Laptop.
• Flexible Working Environment.