Junior Data Scientist

Working closely with clients across industries - from analyzing problems and identifying areas for improvement to supporting the design and presentation of advanced analytics and machine learning solutions

Building, evaluating and deploying machine learning models - from classical statistical approaches to LLM-powered applications

Designing and implementing GenAI solutions including RAG pipelines, agentic workflows and LLM-based automation

Contributing to MLOps practices - model versioning, experiment tracking, CI/CD for ML, monitoring and observability in production

Participating in the full project lifecycle: from business and data analysis, through prototyping and development to production deployment and result validation

Minimum 1 year of experience in Data Science / ML Engineering (internships, commercial projects, or strong open-source/research contributions)  

Strong programming skills in Python

Solid understanding of fundamental statistical and ML models

Hands-on experience with at least some of LLMs, prompting techniques, RAG architectures, fine-tuning, evaluation & guardrails, agentic frameworks (e.g. LangGraph)

Knowledge of ML libraries (e.g., PyTorch, Tensorflow)

Ability to analyze problems and synthesize solutions

Basic knowledge of selected ML solution lifecycle management platforms (e.g. MLflow, Azure ML, Amazon SageMaker)

Knowledge of SQL, comfortable querying and transforming data in relational databases 

Ability to write clear, structured code following good programming practices  

Familiarity with git repositories and tools such as JIRA, Confluence, Teams

Very good knowledge of English (B2+) enabling work in an international environment 

Global projects in clouds - we work with clients from all over the world based on modern cloud technologies 

Certification reimbursement - develop your skills and obtain certifications such as Microsoft, Amazon Web Services, Databricks, and ISTQB. We cover the cost of exams

Time to learn - take advantage of 60 paid hours per year for learning and use the Buddy Program, which supports you during your first months on the job

Flexible approach - connect studies with your career. Adjust your schedule to your needs thanks to flexible working hours

Personalized benefits - medical care, subsidized sports packages, language tuition, new employee referral bonus (up to PLN 15,000) as well as annual and media bonus