Data Scientist

MDPI; Kraków; On-site; PLN 50,000 - 80,000; Full time

Benefits offered by this job

Private medical care

MultiSport card

Team building activities

Job summary

MDPI is seeking a passionate Data Scientist in Kraków to design and deploy advanced machine learning solutions. You will be integral in creating analytical solutions, primarily focused on NLP and LLM workflows.

Your role involves developing machine learning models, mentoring trainees, and representing the company at conferences. The ideal candidate has a degree in Computer Science, experience in Python and machine learning, strong communication skills, and proficient English communications.

MDPI offers private medical care, a partially covered MultiSport card, and team-building activities.

Qualifications

• 2-5 years of experience as a Data Scientist.
• Intermediate proficiency in data science tools and libraries.
• Excellent written and spoken English.

Responsibilities

• Design, develop, and evaluate machine learning models.
• Translate business problems into data-driven solutions.
• Collaborate with engineering teams for model integration.

Skills

Data science

Machine Learning

Natural Language Processing (NLP)

Python

Communication skills

Statistics

Education

Bachelor’s or Master’s degree in Computer Science

Tools

PyTorch

TensorFlow

Scikit-learn

Hugging Face

FastAPI

Celery

Keycloak

Job description

Are you passionate about turning complex data into intelligent, production‑ready solutions while supporting the future of open‑access science? We are looking for a Data Scientist to join our team and help design, develop, and deploy advanced machine learning solutions that power intelligent, data‑driven products. This role focuses on NLP, recommender systems, and agentic LLM workflows, turning complex business challenges into scalable and impactful analytical solutions.

This is a fully 100% on-site position from the Kraków office.

Core Responsibilities

• Design, develop, and evaluate machine learning and statistical models, with a focus on NLP, recommender systems, and LLM‑based solutions.
• Translate business problems into data‑driven approaches and scalable analytical solutions.
• Perform data exploration, preprocessing, and feature engineering to ensure high‑quality inputs for modeling.
• Develop, optimize, and benchmark models using appropriate metrics and validation strategies.
• Build and experiment with LLM‑powered systems, including agentic workflows and RAG.
• Investigate, reproduce, and compare research prototypes and state‑of‑the‑art methods.
• Collaborate with engineering teams to support the integration of models into production.
• Monitor and analyze model performance and iterate to improve accuracy and robustness.

Additional Responsibilities

• Supervising Master/ Ph.D. students when there are trainees in the team.
• Representing the company in e.g. attending conferences, writing scientific articles.

Requirements

• Bachelor’s degree/ Master’s degree in Computer Science or related.
• 2-5 years of experience as a Data Scientist.
• 2–5 years of experience in Python (including complex applications), Machine Learning, and LLMs.
• Strong background in data science, statistics, and analytical problem‑solving.
• Intermediate proficiency in FastAPI, Celery, and Keycloak.
• Intermediate proficiency in PyTorch, TensorFlow, Scikit‑learn, and Hugging Face.
• Proficiency in Natural Language Processing (NLP), including tokenization and named entity recognition (NER).
• In‑depth understanding of Artificial Intelligence principles.
• Strong working knowledge of Microsoft O365 tools.
• Excellent written and spoken English.
• Excellent communication skills, capable of conveying complex technical concepts to non‑technical stakeholders.
• Ability to work effectively both independently and as part of a team.

Nice to have

• PhD in Computer Science or related.
• Leadership skills with the ability to mentor and guide junior engineers and interns.

Why Join Us?

• Be part of a dynamic and innovative team at the forefront of data technology.
• Opportunity to take part in impactful projects.
• Work in a collaborative environment that values creativity and diversity.
• Private medical care (fully covered).
• MultiSport card (partially covered).
• Team building activities.