Job Summary: We are seeking a highly skilled Senior Data Scientist with extensive experience in the insurance domain. The ideal candidate will have a strong background in data science, particularly in deploying AI/ML solutions in production environments. The candidate must possess a deep understanding of data architecture and be proficient in Databricks, with a proven track record of delivering impactful data-driven insights.
Responsibilities:
- Lead the design and implementation of data science projects within the insurance sector, focusing on AI/ML deployment.
- Collaborate with cross-functional teams to identify business needs and translate them into analytical solutions.
- Develop and maintain data pipelines and architectures to support scalable data processing.
- Utilize programming languages such as Python, R, or SAS for data analysis and model development.
- Perform statistical analysis and build machine learning models using relevant frameworks and libraries.
- Manipulate and query data using SQL and leverage big data technologies and platforms.
- Create compelling data visualizations using tools like Tableau or Power BI to communicate findings effectively.
- Present complex analytical results to non-technical stakeholders in a clear and concise manner.
- Stay updated with the latest trends and advancements in data science and machine learning.
Mandatory Skills:
- Minimum of 10 years of experience in data science roles.
- At least 5 years of experience in the insurance domain.
- Solid proficiency in Databricks.
- Proficiency in programming languages such as Python, R, or SAS.
- Experience with SQL for data manipulation and querying.
- Strong foundation in statistical analysis and machine learning frameworks.
- Familiarity with Azure or GCP for scalable data processing.
- Excellent communication skills with the ability to present complex findings to non-technical stakeholders.
- Strong understanding of data architecture.
Preferred Skills:
- Experience with big data technologies and platforms.
- Knowledge of data visualization tools such as Tableau or Power BI.
- Experience in leading data science teams or projects.
Qualifications:
- Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field.
- Proven track record of successful AI/ML project deployments in production.
If you are a passionate data scientist with a strong background in the insurance industry and a desire to drive data-driven decision-making, we encourage you to apply.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.