At a Glance
- Tasks: Support data analysis and reporting using Databricks and Palantir for strategic decision-making.
- Company: Join SCOR, a leader in Life & Health reinsurance with a focus on innovation.
- Benefits: Gain hands-on experience, mentorship, and opportunities for career growth in a dynamic environment.
- Other info: Embrace diversity and inclusion in a supportive workplace.
- 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.
Role Overview
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).
Key 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.
Required Experience & Competencies
- 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.
SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.
Databricks & Palantir Analytics – Graduate Trainee in London employer: TargetJobs UK
At SCOR, we pride ourselves on being an exceptional employer that fosters a collaborative and inclusive work culture, particularly within our hELIOS Business Competency Centre. As a graduate trainee, you will have the opportunity to engage with cutting-edge data platforms like Databricks and Palantir, while benefiting from comprehensive training and mentorship programmes designed to accelerate your professional growth. Our commitment to operational efficiency and data-centric decision-making ensures that you will be part of a dynamic team dedicated to innovation in the life and health reinsurance sector.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks & Palantir Analytics – Graduate Trainee in London
✨Get in on the Data Science Meetups
Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like TargetJobs UK.
✨Show Off Your Projects
As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including TargetJobs UK, love seeing hands-on experience!
✨Connect with Alumni
Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like TargetJobs UK.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including TargetJobs UK, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!
We think you need these skills to ace Databricks & Palantir Analytics – Graduate Trainee in London
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 TargetJobs UK 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 TargetJobs UK 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 TargetJobs UK
✨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.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
✨Highlight Your Passion for Learning
As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells TargetJobs UK that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into TargetJobs UK’s culture and workflow.
