We are looking for a Data Scientist for a project in the insurance industry(hybrid from Warsaw).
Responsibilities
Developing, implementing, and maintaining statistical and machine learning models supporting actuarial functions.
Analyzing large and complex datasets to generate actionable insights supporting decision-making processes.
Conducting exploratory data analysis and feature engineering to improve model quality and interpretability.
Supporting the automation and optimization of actuarial processes using modern data science tools and frameworks.
Collaborating closely with actuaries, underwriters, and claims teams to translate business challenges into analytical solutions.
Preparing presentations of results and recommendations in a way that is clear and understandable for technical audiences.
Requirements
Proficiency in Python for data analysis and modeling.
Good knowledge of machine learning methodology, predictive analytics, and statistical inference.
Experience working with data processing tools (e.g. pandas, SQL) and data visualization tools (e.g. matplotlib, seaborn, ggplot2).
Experience with Azure/MS Fabric.
Ability to work with code repositories.
Analytical mindset: strong problem-solving skills and a passion for uncovering insights from data.
Communication skills: ability to collaborate effectively within cross-functional teams.
Nice to have:
Knowledge of the insurance industry.
Knowledge of SAS tools.
Knowledge of version control systems (Git).
What we offer
Modern technology stack and openness to implementing new solutions.
Participation in diverse and technologically advanced Data Science projects.
Working within a dedicated Data Science team.
Private healthcare and a sports card.
Flexible working hours.
Team-building events and memorable company parties.