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- Aufgaben: Join our Finance team to optimize actuarial data and enhance loss reserving processes.
- Arbeitgeber: Be part of a dynamic company focused on innovative data solutions in the insurance sector.
- Mitarbeitervorteile: Enjoy a permanent position with opportunities for professional growth and collaboration.
- Warum dieser Job: Work with cutting-edge machine learning techniques and make a real impact in the insurance industry.
- Gewünschte Qualifikationen: You need a degree in a relevant field and 2-3 years of data science experience.
- Andere Informationen: Fluency in SQL, Python, and data visualization tools is essential; English proficiency required.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
You will be working within the Finance team supporting the Chief Actuary to develop the target actuarial data landscape, test and implement advanced data flows and machine-learning techniques for the purpose of optimising the loss reserving process and forecast technical performance across the full insurance scope.
- Category: International
- Type: Permanent
Key duties (including, but not limited to):
- Optimising reserving & technical performance insights through fixing legacy data shortcomings and building actuarial datasets in a flexible and consistent approach.
- Ensuring the actuarial analysis remains credible with the highest level of data quality possible and enhanced collaboration with other data consumers (pricing, claims, data).
- Actively contributing to defining and refining the actuarial data landscape and tools, in the context of the company-wide data approach.
- Staying abreast of uses of data in actuarial analysis, machine-learning techniques, AI applications and proactively testing new approaches for discussion with the relevant corporate actuaries.
Minimum Requirements:
- Academic degree in Computer Science, Statistics, Mathematics, Physics, Actuarial Science or a related field.
- 2 – 3 years of relevant professional experience in the field of data science and ideally, a solid understanding of actuarial loss reserving.
- Profound experience in data analysis with high fluency in SQL, Python and experience in Cloud Computing (e.g. Azure).
- Expertise in data visualisation with Business Intelligence tools such as Tableau, SAP Analytics Cloud or Power BI.
- Fluent in English, additional languages are a plus.
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Actuarial Data Scientist (m/f/d) – 27443 Arbeitgeber: The Emerald Group
Kontaktperson:
The Emerald Group HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Actuarial Data Scientist (m/f/d) – 27443
✨Tip Number 1
Make sure to showcase your experience with SQL and Python in your discussions. Highlight specific projects where you optimized data flows or implemented machine-learning techniques, as this will resonate well with the team.
✨Tip Number 2
Familiarize yourself with the latest trends in actuarial science and data analysis. Being able to discuss recent advancements or tools you've tested can demonstrate your proactive approach and passion for the field.
✨Tip Number 3
Prepare to discuss how you've collaborated with other teams in previous roles. Emphasizing your ability to work cross-functionally will show that you can enhance collaboration within the Finance team.
✨Tip Number 4
If you have experience with Business Intelligence tools like Tableau or Power BI, be ready to share examples of how you've used them to visualize data insights. This will highlight your expertise in data visualization, which is crucial for the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Actuarial Data Scientist (m/f/d) – 27443
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Actuarial Data Scientist position. Understand the key duties and requirements, especially the importance of data quality and collaboration with other teams.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 2-3 years of relevant experience in data science. Be specific about your expertise in SQL, Python, and any experience you have with Cloud Computing and Business Intelligence tools.
Showcase Your Skills: Demonstrate your proficiency in data analysis and machine-learning techniques. Provide examples of how you've optimized processes or improved data quality in previous roles, as this aligns with the company's goals.
Tailor Your Application: Customize your application materials to reflect the language and priorities mentioned in the job description. Use keywords related to actuarial science, data flows, and technical performance to make your application stand out.
Wie du dich auf ein Vorstellungsgespräch bei The Emerald Group vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and Cloud Computing. Highlight specific projects where you utilized these skills, especially in the context of data analysis and actuarial science.
✨Demonstrate Your Understanding of Actuarial Concepts
Make sure to articulate your knowledge of loss reserving and how it relates to data science. Discuss any relevant experiences that showcase your ability to optimize technical performance insights.
✨Prepare for Machine Learning Discussions
Since the role involves testing advanced data flows and machine-learning techniques, be ready to talk about your familiarity with these concepts. Share examples of how you've applied machine learning in previous roles or projects.
✨Emphasize Collaboration and Communication Skills
The position requires working closely with various teams. Be prepared to discuss how you've collaborated with other data consumers in the past and how you ensure high data quality in your analyses.
