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