Data Scientist

develop; Bern; On-site; CHF 120,000 - 130,000; Full time

Job summary

develop is seeking a Data Scientist to join an interdisciplinary team in Bern, on-site. You will build advanced ML models, agentic systems, and AI-powered analytics solutions to transform complex datasets into actionable intelligence and production-grade metrics.

The role emphasizes developing and deploying models with engineering support, exploring new AI methodologies, and communicating results clearly in English.

Qualifications

• Education as stated: quantitative degree in data-focused field.
• Strong background in statistics and ML model validation.
• Hands-on experience with LLM or agentic systems.

Responsibilities

• Develop, evaluate, and optimize supervised and unsupervised ML models.
• Build agentic systems and AI-powered analytics tools.
• Translate data into metrics, visuals and insights.
• Collaborate with engineering to ensure data quality and production deployment.
• Research emerging AI/ML methodologies to drive innovation.

Skills

Statistics

Machine learning

Model validation

LLM development

English communication

Education

Degree in Data Science, Computer Science, Engineering, Mathematics

Tools

Python

SQL

C++

C#

Job description

• Position: Data Scientist (All Genders)
• Location: Bern, Switzerland | On-site
• Contract: Full-Time, Permanent
• Salary: CHF 120,000 - CHF 130,000 + bonus

Role Summary

My client is a technology-focused business, seeking a Data Scientist to build advanced machine learning models, agentic systems, and AI-powered analytics solutions. Working within an interdisciplinary team, you will transform complex datasets into actionable intelligence and production-grade performance metrics.

Key Responsibilities

• Develop, evaluate, and optimize supervised and unsupervised machine learning models.
• Build agentic systems and AI-powered self-service analytics tools.
• Translate complex data into clear metrics, visualizations, and insights.
• Partner with engineering teams to ensure data quality and deploy models into production.
• Drive innovation by researching emerging AI and ML methodologies.

Requirements & Profile

• Education: Degree in Data Science, Computer Science, Engineering, Mathematics, or a related quantitative field.
• Technical Skills: Strong background in statistics, machine learning, and model validation.
• Specialized Experience: Hands-on experience with LLM applications or agentic systems.
• Tech Stack: Proficiency in Python; working knowledge of SQL, C++, and C# is a plus.
• Soft Skills: Structured, independent problem-solver with strong English communication skills and a collaborative team mindset.