At a Glance
- Tasks: Support data analytics and reporting using Databricks & Palantir for strategic decision-making.
- Company: Join SCOR, a global leader in Life & Health reinsurance with innovative solutions.
- Benefits: Gain hands-on experience, develop technical skills, and work in a dynamic environment.
- Other info: Opportunity to learn in a collaborative team and grow your career in analytics.
- Why this job: Make an impact by transforming data into insights that drive business success.
- Qualifications: Ideal for graduates with a background in Data Analytics or Computer Science.
The predicted salary is between 25000 - 32000 £ per year.
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
- 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.
QUALIFICATIONS
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.
If this sounds like the right opportunity for you then please submit your CV to us. You must have relevant working rights for the UK for the next 12 months. No sponsorship will be provided.
Databricks & Palantir Analytics – Graduate Trainee employer: Ontologize LLC
At SCOR, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. As a graduate trainee in our hELIOS Business Competency Centre, you will have access to cutting-edge data platforms like Databricks and Palantir, alongside opportunities for professional growth and development within the life and health reinsurance sector. Our commitment to employee well-being and continuous learning ensures that you will thrive in a supportive environment while contributing to meaningful projects that impact decision-making across the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks & Palantir Analytics – Graduate Trainee
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We think you need these skills to ace Databricks & Palantir Analytics – Graduate Trainee
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so Ontologize LLC can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at Ontologize LLC and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at Ontologize LLC
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
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As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells Ontologize LLC that we’re eager to grow and develop our skills in this exciting field.
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