Senior Data Scientist
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| Company Name | Zurich Insurance |
| Company Type | Private |
| Job Type | Full-Time |
| Salary Range | Market Competitive |
| Location | Bratislava, Bratislava, Slovakia |
| Qualifications | None / No Formal Education |
| Experience | 5 Year+ |
Job Overview
Zurich Insurance is seeking a Senior Data Scientist to join their team in Bratislava, Slovakia. This role involves leveraging advanced analytics and machine learning to drive actionable insights and support strategic business objectives within the finance and insurance sector.
Company Overview
Zurich Insurance Group (Zurich) is a leading global multi-line insurer founded more than 150 years ago, which has grown into a business serving more than 82 million customers in more than 200 countries and territories, while delivering industry-leading total shareholder returns. Our customers include individuals, small businesses, and mid-sized and large companies, as well as multinational corporations. The Group is headquartered in Zurich, Switzerland, where it was founded in 1872. ONE TEAM, ONE PURPOSE We are Zurich, one global company, with one mission, one ambition, one set of shared values and a clear commitment to our stakeholders: our customers, our people, our shareholders, and the communities in which we live and work. You can find our community guidelines on: https://www.zurich.com/services/social-media
Quick Details
- Salary Range: Market Competitive
- Job Type: Full-time
- Qualifications: none
- Experience: 5 Year+
Key Responsibilities
- Lead complex data analysis projects to identify trends, patterns, and actionable insights.
- Develop, implement, and validate advanced statistical models and machine learning algorithms.
- Collaborate with business stakeholders to understand requirements and translate them into data-driven solutions.
- Communicate complex analytical findings and recommendations clearly to non-technical audiences.
- Mentor junior data scientists and contribute to the growth of the data science community within Zurich.
- Ensure data quality, integrity, and adherence to governance standards in all analytical endeavors.
Requirements
- Proven experience as a Data Scientist with a strong portfolio of analytical projects.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries.
- Solid understanding of statistical modeling, machine learning techniques, and data manipulation.
- Experience with SQL, data warehousing, and big data technologies (e.g., Spark, Hadoop).
- Excellent problem-solving skills and the ability to work effectively in a fast-paced environment.
- Strong communication and interpersonal skills to collaborate with diverse teams.
Benefits
- Competitive salary and a comprehensive benefits package.
- Significant opportunities for professional development and career advancement within a global company.
- Work in an innovative and dynamic environment with cutting-edge data science tools.
- Be part of a global team that values collaboration, diversity, and inclusion.
- Contribution to impactful projects that drive business success in the insurance and financial sectors.
- Flexible working arrangements and a strong commitment to work-life balance.