Senior Data Science Specialist

We are looking for a Senior Data Science Specialist with strong data engineering skills and hands-on experience in LLMs, machine learning, OCR, and image recognition. This role is ideal for a technically skilled expert passionate about applying advanced technologies to drive automation and process optimization.

Responsibilities:

• Identify and evaluate opportunities for automation, digitalization, and process optimization through the application of LLMs, ML, OCR, and computer vision technologies.
• Act as a technical leader in client engagements, building trust through clear communication, transparency, and delivery excellence.
• Design and implement end-to-end data science solutions tailored to business challenges in logistics, manufacturing, and finance domains.
• Develop forecasting models and advanced analytics to drive business insights and resource optimization.
• Shape solution architecture, estimate implementation efforts, and define development roadmaps in collaboration with business stakeholders and technical teams.
• Leverage cloud-based platforms (e.g., Azure, AWS) to deploy, monitor, and maintain machine learning services and AI workflows.
• Build and maintain robust data pipelines for collecting, processing, and transforming structured and unstructured data into usable formats.
• Lead technical delivery efforts across multiple phases of the project lifecycle, while actively contributing hands-on to core development activities.
• Provide guidance and mentorship to junior and mid-level team members, fostering growth and technical excellence within the team.
• Ensure adherence to best practices in model versioning, performance monitoring, data quality, and governance standards.
• Research emerging technologies and AI/ML approaches to explore opportunities for innovation.

• 3+ years of hands-on experience in data science, machine learning, and AI solution development
• A university degree in a STEM-related field
• Proven track record of delivering machine learning solutions in production, preferably in logistics, manufacturing, or finance sectors.
• Strong proficiency in Python and data science libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers).
• Solid SQL skills and experience working with analytical databases.
• Hands-on experience with Large Language Models (LLMs), including fine-tuning and integration (e.g., GPT, Claude, LLaMA).
• Practical experience with OCR technologies and image recognition workflows.
• Familiarity with cloud platforms (Azure and/or AWS), Docker, and CI/CD environments.
• Proactive and solution-oriented mindset, unafraid to propose ideas and take ownership in exploring them.
• Ability to work both independently and collaboratively, with strong problem-solving skills and a willingness to grow through diverse project challenges.
• Good command of English (written and spoken).

• Additional health insurance – we care about your health.
• 3rd pillar pension funds – we care about your future.
• Accident and travel insurance – we want to support you in unexpected situations.
• Additional vacation days – we understand the importance of your rest.
• Employment anniversary bonus scheme – we are grateful for your commitment.
• Flexible hybrid work possibilities - we want to provide you with convenient work schedule.
• Trainings and certifications – we care about your personal development.
• Learning days - we support your improvement.