ASSOCIATE ARCHITECT - Data Architecture

Senior Data Scientist - Insurance Domain

Location: [Insert Location]

Years of Experience: 10+ years

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.
• Strong 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

• Bachelor's or Master's 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.

Databricks, Data Architecture