Databricks & Palantir Analytics – Graduate Trainee

Graduate trainee role focused on data analytics and reporting, using tools like SQL, Python, and dashboards to support business insights and decision-making in reinsurance.

Job Description 

hELIOS is the global Life & Health (L&H) administration platform designed to manage individual-level data across SCOR’s reinsurance business.

The platform is built around three core pillars:

• Business Administration – Streamlining treaty administration processes such as bordereaux management, claims referrals, and medical underwriting.

• Operational Efficiency – Enhancing user experience with automated workflows, integrated systems, and consistent data processing.

• Data Centricity – Delivering standardized, accurate, and accessible data to support decision-making in areas such as modeling, experience analysis, and knowledge management.

As part of the Forward 2026 strategic plan, hELIOS is being deployed across L&H markets (excluding the US and China) to support the administration of assumed and retrocession premiums and claims.

The hELIOS Business Competency Centre (hBCC) is looking for a graduate trainee to support analysis and reporting requirements using SCOR’s data platform (Databricks & Palantir)

Responsibilities

Some of the key responsibilities of the role are as follows :  

• Support business analytics and reporting needs by leveraging SCOR’s data platforms (Databricks & Palantir) to extract, transform, and visualize data for operational and strategic decision-making.

• Develop and maintain dashboards and reports to provide insights on treaty administration, claims, and premium data.

• Assist in data preparation and validation to ensure accuracy, consistency, and compliance with SCOR’s data standards.

• Collaborate with business users and product owners to understand reporting requirements and translate them into actionable data queries and visualizations.

• Document processes, queries, and reporting logic to ensure transparency and reproducibility.

• Contribute to data quality initiatives by identifying anomalies, supporting corrective actions, and improving data pipelines.

• Participate in ad-hoc analysis projects to support experience studies, operational efficiency reviews, and other business-driven requests.

• Assist in change management activities by preparing training materials or guides for end-users on new dashboards or reporting tools.

Required experience & competencies

Experience: 

• Academic background or internship experience in Data Analytics or Computer Science.

• Interest in data platforms, analytics, and reporting within financial services or (re)insurance.

• Exposure to life insurance or reinsurance concepts is a plus, but not mandatory.

Technical skills:

• Familiarity with data analytics tools and platforms (Databricks, Palantir, or similar).

• Knowledge of SQL, Python, or data visualization tools (Power BI, Tableau).

• Understanding of data modeling and ETL concepts.

• Awareness of Agile methodology and collaborative development practices.

Soft skills:

• Strong analytical and problem-solving abilities, with curiosity and willingness to learn new technologies.

• Clear and confident communicator, able to translate business needs into data solutions and interact with both technical and non-technical stakeholders.

• Organized, detail-oriented, and proactive in managing tasks and follow-ups.

• Team-oriented with a service-focused mindset, especially when supporting business users.

• Adaptable and comfortable working in a dynamic environment with evolving priorities.