Data Scientist

Czym będziesz się zajmować?

• Develop and deploy advanced machine learning models and statistical analyses to solve complex business challenges
• Collaborate with data engineers to build scalable data pipelines for modelling and reporting
• Translate business requirements into data science problems with defined success metrics
• Prepare, clean, and manipulate large datasets for analysis and modelling
• Communicate results and recommendations clearly to diverse stakeholders, including non-technical audiences
• Work with product teams to integrate data science solutions into operational workflows
• Ensure all models and analyses comply with data ethics and privacy standards
• Lead experiments to test hypotheses and improve product or service performance
• Build capability across teams by mentoring colleagues and sharing best practices
• Contribute to the data science community and represent the organisation externally where appropriate

• Proven experience (3+ years) in data science or advanced analytics roles
• Strong programming skills in languages such as Python (preferred) or R
• Proficiency in using data visualisation tools to communicate findings
• Experience with machine learning techniques and statistical modelling
• Experience working with large, complex datasets
• Ability to explain complex technical concepts to non-technical audiences
• Understanding of data ethics, privacy, and governance principles
• Experience working in cross-functional teams and collaborative environments
• Experience of applying version control in GitHub and of collaborating with others on codebases
• Strong problem-solving and critical thinking skills
• Written and verbal proficiency in English is required

• Experience in a commercial, or education technology environment
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Experience with modern data engineering tools and frameworks
• Knowledge of Agile methodologies and product development lifecycles
• Publications, conference presentations, or contributions to the data science community
• Experience of working with ML or AI Engineers

• Python
• Agile

• pandas
• NumPy
• Spark
• GCP
• R
• ML
• AWS
• Azure

• Polski
• Angielski

• 20.2k–25.2k PLN netto/m (B2B)
• B2B - Elastyczne godziny pracy (100%)
• Praca zdalna: W całości
• Płatny "urlop" dla B2B