Actuarial Data Scientist (m/f/d) – 27443

TN Germany; München; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading company is seeking a data science professional with a strong background in actuarial analysis. The role involves optimising data quality and collaborating with various teams to enhance data insights. Candidates should have experience in SQL, Python, and data visualization tools. Fluency in English is required, and additional languages are a plus.

Qualifikationen

• 2 – 3 years of relevant professional experience in data science.
• Solid understanding of actuarial loss reserving.

Aufgaben

• Optimising reserving & technical performance insights.
• Ensuring high data quality for actuarial analysis.
• Contributing to defining the actuarial data landscape.

Kenntnisse

Data Analysis

SQL

Python

Cloud Computing

Data Visualization

Machine Learning

English

Ausbildung

Academic degree in Computer Science

Academic degree in Statistics

Academic degree in Mathematics

Academic degree in Physics

Academic degree in Actuarial Science

Tools

Tableau

SAP Analytics Cloud

Power BI

Jobbeschreibung

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Client:

Emerald Group Ltd

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

d940c44a0e91

Job Views:

1

Posted:

13.05.2025

Expiry Date:

27.06.2025

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Job Description:

Overview

Key duties (including, but not limited to):

• You have the objective of 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 contribute to defining and refining the actuarial data landscape and tools, in the context of the company-wide data approach
• Stay abreast of uses of data in actuarial analysis, machine-learning techniques, AI applications and proactively test new approaches for discussion with the relevant corporate actuaries

Qualifications required:

• Academic degree in Computer Science, Statistics, Mathematics, Physics, Actuarial Science or a related field

Experience required:

• 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