Data Scientist

K2G; Baar; Hybrid; CHF 90’000 - 130’000; Vollzeit

Zusammenfassung

K2G is seeking a talented Data Scientist to harness insurance data with advanced analytics and statistics. This full-time position, remote or hybrid, will involve collaborating with teams to enhance product accuracy while utilizing cutting-edge AI tools. Ideal candidates will possess a Master's or PhD and proficiency in Python or Matlab, especially with insights into the car insurance sector.

Qualifikationen

• Strong experience with statistical modelling and data analysis.
• Proficient in programming languages such as Python and Matlab.
• Experience in the car insurance industry is a plus.

Aufgaben

• Analyze and interpret complex data sets to identify patterns and trends.
• Develop and implement statistical models for the car insurance industry.
• Communicate findings to both technical and non-technical stakeholders.

Kenntnisse

Statistical modelling

Data analysis

Programming in Python

Data visualization

Strong communication

Ausbildung

Master Degree or PhD in Physics, Math, Computer Science, Engineering

Tools

Python

Matlab

Jobbeschreibung

Company Description

At K2G, we revolutionize insurance portfolio management with our proprietary AI technology and deep industry expertise. Our K2G BOX platform provides actionable insights for insurers to improve their Loss Ratio, increase customer lifetime value, and grow their Gross Written Premium rapidly. With a unique Talk-to-Data interface, insurance professionals can access precise insights without coding or delays, enabling smarter decisions at every level.

Role Description

This is a full-time remote or hybrid role for a Data Scientist at K2G based in Baar. The Data Scientist will be responsible for data science, statistics, data analytics, data visualization, and data analysis tasks. While the role is primarily located in Baar, some work from home is acceptable.

RESPONSIBILITIES:

• Expertise with insurance data (insurtech or fintech)
• Analyze and interpret complex data sets to identify patterns and trend
• Develop and implement statistical models to calculate risk for the car insurance industry
• Work closely with other team members to improve the accuracy and performance of our products
• Communicate findings and insights to both technical and non-technical stakeholders

QUALIFICATIONS:

• Master Degree or PhD in a hard science (Physics, Math, Computer Science, Engineering, etc.)
• Strong experience with statistical modelling and data analysis
• Strong mathematical background
• Proficient in programming languages such as Python and Matlab
• Strong communication and collaboration skills
• Experience in the car insurance industry is a plus
• Experience working with AI supported development such as ChatGPT and/or Gemini is a plus