About the Role
Senior Data Scientist / AI Solutions Engineer. Are you passionate about transforming data into impactful business solutions? Do you enjoy combining advanced analytics, AI, and engineering to solve complex commercial insurance challenges? Join our global analytics team and help shape the future of underwriting through innovative data-driven products and intelligent automation. As a Senior Data Scientist / AI Solutions Engineer, you will work at the intersection of business, data, and technology, developing scalable solutions that support underwriting excellence and portfolio performance across international markets. Responsibilities
Partner with underwriting and business stakeholders to address strategic challenges such as portfolio optimization, risk assessment, loss trend analysis, and customer profitability. Translate business requirements into analytical frameworks and actionable insights. Drive data-informed decision-making through advanced analytics and AI solutions. Design, develop, and deploy machine learning and AI models for production environments, applying techniques such as predictive modeling, NLP, classification, clustering, recommendation systems, and anomaly detection. Continuously improve model performance, monitoring, and governance practices. Build and maintain scalable data pipelines using cloud-native technologies, integrating structured and unstructured data from internal and external sources. Optimize data processing workflows and ensure the reliability of analytical platforms in production. Develop end-to-end analytical applications, from proof-of-concept to enterprise-scale deployment, collaborating closely with product managers, engineers, and business users. Contribute to enhancing user experience and increasing adoption of analytical tools across the organization. Mentor junior data scientists and engineers, promote best practices in analytics, AI, software development, and data engineering. Work within a highly collaborative, international team focused on innovation and continuous improvement. Required Qualifications
Degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related field. Several years of professional experience in Data Science, AI Engineering, Machine Learning, or Data Engineering. Strong programming skills in Python and experience with SQL. Experience working with large-scale data processing frameworks such as Spark, Databricks, or similar technologies. Solid understanding of machine learning lifecycle management and software engineering best practices. Experience building and deploying production-ready analytical solutions. Strong analytical thinking and problem-solver abilities. Excellent communication skills and ability to engage with both technical and business stakeholders. Fluent English, written and spoken. Preferred Qualifications
Experience with Azure, AWS, or Google Cloud platforms. Hands-on experience with MLOps practices, model deployment, and monitoring. Knowledge of containerization and orchestration technologies such as Docker and Kubernetes. Familiarity with NLP, Generative AI, Large Language Models (LLMs), or Retrieval Augmented Generation (RAG). Experience with geospatial analytics or alternative data sources. Exposure to front-end technologies and data visualization frameworks. Experience in insurance, reinsurance, financial services, or risk management environments. Why Join the Company
Work on high-impact projects that influence global underwriting and portfolio strategy. Collaborate with a diverse team of analytics, engineering, and insurance experts. Access cutting-edge cloud, AI, and data technologies. Enjoy opportunities for professional growth, continuous learning, and career development. Be part of an organization that values innovation, collaboration, and customer-centric thinking. Location & Employment
Location: Zurich, Switzerland Working Model: Hybrid (up to 2 remote days per week) Employment Type: Full-time (80-100%) German and English language skills: C1-C2 level
#J-18808-Ljbffr
Senior Data Scientist / AI Solutions Engineer. Are you passionate about transforming data into impactful business solutions? Do you enjoy combining advanced analytics, AI, and engineering to solve complex commercial insurance challenges? Join our global analytics team and help shape the future of underwriting through innovative data-driven products and intelligent automation. As a Senior Data Scientist / AI Solutions Engineer, you will work at the intersection of business, data, and technology, developing scalable solutions that support underwriting excellence and portfolio performance across international markets. Responsibilities
Partner with underwriting and business stakeholders to address strategic challenges such as portfolio optimization, risk assessment, loss trend analysis, and customer profitability. Translate business requirements into analytical frameworks and actionable insights. Drive data-informed decision-making through advanced analytics and AI solutions. Design, develop, and deploy machine learning and AI models for production environments, applying techniques such as predictive modeling, NLP, classification, clustering, recommendation systems, and anomaly detection. Continuously improve model performance, monitoring, and governance practices. Build and maintain scalable data pipelines using cloud-native technologies, integrating structured and unstructured data from internal and external sources. Optimize data processing workflows and ensure the reliability of analytical platforms in production. Develop end-to-end analytical applications, from proof-of-concept to enterprise-scale deployment, collaborating closely with product managers, engineers, and business users. Contribute to enhancing user experience and increasing adoption of analytical tools across the organization. Mentor junior data scientists and engineers, promote best practices in analytics, AI, software development, and data engineering. Work within a highly collaborative, international team focused on innovation and continuous improvement. Required Qualifications
Degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related field. Several years of professional experience in Data Science, AI Engineering, Machine Learning, or Data Engineering. Strong programming skills in Python and experience with SQL. Experience working with large-scale data processing frameworks such as Spark, Databricks, or similar technologies. Solid understanding of machine learning lifecycle management and software engineering best practices. Experience building and deploying production-ready analytical solutions. Strong analytical thinking and problem-solver abilities. Excellent communication skills and ability to engage with both technical and business stakeholders. Fluent English, written and spoken. Preferred Qualifications
Experience with Azure, AWS, or Google Cloud platforms. Hands-on experience with MLOps practices, model deployment, and monitoring. Knowledge of containerization and orchestration technologies such as Docker and Kubernetes. Familiarity with NLP, Generative AI, Large Language Models (LLMs), or Retrieval Augmented Generation (RAG). Experience with geospatial analytics or alternative data sources. Exposure to front-end technologies and data visualization frameworks. Experience in insurance, reinsurance, financial services, or risk management environments. Why Join the Company
Work on high-impact projects that influence global underwriting and portfolio strategy. Collaborate with a diverse team of analytics, engineering, and insurance experts. Access cutting-edge cloud, AI, and data technologies. Enjoy opportunities for professional growth, continuous learning, and career development. Be part of an organization that values innovation, collaboration, and customer-centric thinking. Location & Employment
Location: Zurich, Switzerland Working Model: Hybrid (up to 2 remote days per week) Employment Type: Full-time (80-100%) German and English language skills: C1-C2 level
#J-18808-Ljbffr
Senior Data Scientist / AI Solutions Engineer Arbeitgeber: Source Technology Limited
Source Technology Limited ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern in Zürich eine dynamische und unterstützende Arbeitsumgebung bietet. Mit einem hybriden Arbeitsmodell fördern wir die Work-Life-Balance und bieten zahlreiche Möglichkeiten zur beruflichen Weiterentwicklung in einem innovativen Team. Unsere Unternehmenskultur legt Wert auf Zusammenarbeit und offene Kommunikation, was es unseren Mitarbeitern ermöglicht, ihre Fähigkeiten in spannenden SAP MDG Projekten voll auszuschöpfen.
Kontaktdaten:
Source Technology Limited Recruiting-Team
