Senior Data Scientist / AI Solutions Engineer

SGI; Zürich; Hybrid; CHF 140,000 - 190,000; Full time

Job summary

SGI in Zurich is seeking a Senior Data Scientist / AI Solutions Engineer to transform data into business impact across underwriting and analytics. You will design and deploy ML models, build scalable data pipelines, and collaborate with product, engineering, and business teams in a hybrid setup.

The role requires several years in Data Science/AI, strong Python/SQL skills, and cloud/data processing experience. Excellent communication and English proficiency are essential.

Qualifications

• Degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related field.
• Several years of professional experience in Data Science, AI Engineering, ML, or Data Engineering.
• Strong programming skills in Python and experience with SQL.
• Experience with large-scale data processing frameworks such as Spark, Databricks, or similar.
• Solid understanding of ML lifecycle management and software engineering best practices.
• Experience building and deploying production-ready analytical solutions.
• Strong analytical thinking and problem-solving abilities.
• Excellent communication skills with stakeholders.
• Fluent English, written and spoken.

Responsibilities

• Partner with underwriting and business stakeholders to address strategic challenges like 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.
• Build scalable data pipelines and integrate structured and unstructured data.
• Collaborate with product managers, engineers, and business users to deliver high-value solutions.
• Mentor junior data scientists and engineers and promote best practices.

Skills

Python

SQL

Spark

Cloud platforms

Data analysis

Education

Degree in Computer Science/Data Science/Statistics/Engineering/Mathematics

Tools

Databricks

Spark

Docker

Kubernetes

Job description

Job Description

Senior Data Scientist / AI Solutions Engineer

Job Description

Senior Data Scientist / AI Solutions Engineer

About The Role

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.

Your Responsibilities

Business Impact & Analytics

• 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.

Data Science & AI Development

• Design, develop, and deploy machine learning and AI models for production environments.


• Apply techniques such as predictive modeling, NLP, classification, clustering, recommendation systems, and anomaly detection.


• Continuously improve model performance, monitoring, and governance practices.

Data & Platform Engineering

• Build and maintain scalable data pipelines using cloud-native technologies.


• Integrate structured and unstructured data from internal and external sources.


• Optimize data processing workflows and ensure the reliability of analytical platforms in production.

Product Development

• Develop end-to-end analytical applications, from proof-of-concept to enterprise-scale deployment.


• Collaborate closely with product managers, engineers, and business users to deliver high-value solutions.


• Contribute to enhancing user experience and increasing adoption of analytical tools across the organization.

Leadership & Collaboration

• 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.

What You Bring

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-solving 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: 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

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: Zurich, Switzerland

Working Model: Hybrid

Employment Type: Full-time (80–100%)

German and English language skills: C1-C2 level