Junior Data Scientist

Intro

Swiss Re is one of the worlds leading providers of reinsurance and insurance, with more than 150 years track record in working to make the world more resilient. The Corporate Solutions unit has been innovating in the insurance business for many years.

The Actuarial Portfolio Management (APM) is part of Corporate Solutions. We are looking for a motivated new passionate colleague with a flair for analytical thinking

About the Role

This position is part of the Advanced Analytics team within APM team in Corporate Solutions. You will play an important role of driving high quality analytics & insights by combining your technical and analytical skills with the insurance knowledge of the broader organization.

As a Data Scientist, you will be responsible for:

• Working with stakeholders to understand the exact problem statement/business context, and helping convert these to well defined requirements.
• Building of Analytics solutions for the assigned line of business.
• You will work with Senior team members and stakeholders in Underwriting, Claims and Data Engineering teams to help in building Data Science Solutions
• You will have a direct impact in helping steer the Data science solutions and ultimately the overall Business Units performance

About the Team

The APM Advanced Analytics team is comprised of a mix of highly experienced members already entrenched in advanced analytics and highly motivated newer members who thrives in a dynamic and fast learning environment. This team reports into the Chief Underwriting Officer and is part of the Actuarial Portfolio Management Unit

About You

Convincing interpersonal skills and ability to maintain effective working relations in a multi-disciplinary and multi-cultural environment

Self-starter, organized, and able to handle multiple priorities and meet deadlines.

Able to apply quantitative skills, business knowledge, logical thinking and communicate the key message by visualization & presentation.

Roles & Responsibilities

Data Understanding & Driving Insights

• Work with senior team members to help build a clear and independent view on the internal/external data along with effective visualizations and recommendations.
• Understand business requirement & translate details into impactful technical requirements.

Advanced Data Analytics

• Help and work with senior team members to build Data science solutions, involving:

developing, validating, deploying and maintaining ML Models

• Build interactive dashboards on Palantir Foundry
• Present your findings & convince business using explainability & other techniques.
• Willing to learn and use Gen AI techniques to develop insights and trends that can be used for risk selection or differentiation; and costing improvements.

About you

Professional experience

• 2+ years of experience in Analytics and/or Data Science.
• You have highly developed problem solving and analytical skills. You can translate the data insights into effective visualizations for high impact communication.
• You have applied these skills using real business data to develop insights and practical solutions.

Technical skills

• 2+ years of hands-on experience with PySpark and Python, particularly in building and optimizing large-scale data transformation pipelines.
• 2+ years of SQL experience, comfortable writing and optimizing complex queries.
• Solid experience developing NLP solutions, with exposure to GenAI and unsupervised learning methodologies.
• Extensive experience in data visualization and developing interactive dashboards for business stakeholders, with a focus on strategic insights.

Personal Skills

• You are motivated to focus executing on delivering high quality results on time
• You can articulate and communicate your work effectively and be comfortable in presenting your work to senior team members and leaders
• You work for the collective success of the team in close collaboration with senior team members. You are open and dependable; and demonstrate collaboration and intercultural competence.

Educational level

• Bachelors/ Masters degree in Data Science, IT , Mathematics, Statistics, or equivalent statistical fields