Data Scientist(Junior/Regular)

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.

Tech stack

• Python
• Azure
• Microsoft Fabric
• SQL