Specialist Data Science

HDI Group; Hannover; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Health insurance

Remote/hybrid work option

Job summary

HDI Group is seeking a capable Data Engineer and Analytics specialist to take ownership of data domains, consolidate data sources, and develop global pricing tools using R and Python.

You will design Data Science use cases, deploy analytics products in the cloud, and expand the tool stack while collaborating with the Pricing Actuarial team.

This role emphasizes strong software development in R/SQL/Python, English communication, and an entrepreneurial mindset, with flexitime and mobile working.

Qualifications

• Successfully completed degree in Computer Science, Business Informatics, Statistics, Data Science, or a comparable qualification.
• Initial professional experience in controlling, actuarial work, or a related field, ideally within industrial insurance.
• Project experience in Data Science, Data Warehousing, or BI environments; experience with GitLab CI/CD and Docker is desirable.
• Strong understanding of insurance-specific processes and solid knowledge of Data Science methods.
• Initial knowledge of insurance lines and products within a data domain is advantageous, along with experience in data modeling, data workflows, performance optimization, ETL implementation, cloud technologies, and APIs.
• Experience in generating statistical insights from large datasets
• Strong technical orientation with proven software development expertise, particularly in R, SQL, and Python
• Excellent analytical and conceptual thinking skills, especially in quickly understanding complex topics
• High standards of excellence in project delivery
• Strong communication and teamwork skills, combined with initiative, commitment, and an entrepreneurial mindset
• Excellent written and spoken English skills

Responsibilities

• Take functional ownership of specific data domains
• Consolidate expertise across existing data sources and apply various methods in Data Engineering and Analytics
• Independently develop and maintain global pricing tools (primarily R-based, partly Python-based) based on business specifications provided by the central Pricing Actuarial team
• Design and implement Data Science and Analytics use cases independently
• Develop, deploy, and maintain Data Analytics products in the cloud
• Expand the Analytics Engineering tool stack and automate HDI Global processes (e.g., for local line-of-business analyses and risk assessments)
• Further develop Data Engineering processes and standards
• Support business units in defining use cases and analyzing internal and external data

Skills

R

SQL

Python

Data Science

Data Warehousing

GitLab CI/CD

Docker

English

Education

Degree in CS / Business Informatics / Statistics / Data Science

Tools

GitLab CI/CD

Docker

Job description

Your Tasks

• Take functional ownership of specific data domains
• Consolidate expertise across existing data sources and apply various methods in Data Engineering and Analytics
• Independently develop and maintain global pricing tools (primarily R-based, partly Python-based) based on business specifications provided by the central Pricing Actuarial team
• Design and implement Data Science and Analytics use cases independently
• Develop, deploy, and maintain Data Analytics products in the cloud
• Expand the Analytics Engineering tool stack and automate HDI Global processes (e.g., for local line-of-business analyses and risk assessments)
• Further develop Data Engineering processes and standards
• Support business units in defining use cases and analyzing internal and external data

Your Profile

• Successfully completed degree in Computer Science, Business Informatics, Statistics, Data Science, or a comparable qualification
• Initial professional experience in controlling, actuarial work, or a related field, ideally within industrial insurance
• Project experience in Data Science, Data Warehousing, or Business Intelligence environments; experience with GitLab CI/CD and Docker is desirable
• Strong understanding of insurance-specific processes and solid knowledge of Data Science methods
• Initial knowledge of insurance lines and products within a data domain is advantageous, along with experience in data modeling, data workflows, performance optimization, ETL implementation, cloud technologies, and APIs
• Experience in generating statistical insights from large datasets
• Strong technical orientation with proven software development expertise, particularly in R, SQL, and Python
• Excellent analytical and conceptual thinking skills, especially in quickly understanding complex topics
• High standards of excellence in project delivery
• Strong communication and teamwork skills, combined with initiative, commitment, and an entrepreneurial mindset
• Excellent written and spoken English skills

Flexible working hours

Flexitime arrangements and flexible working time models allow for a perfect work-life balance – however it suits you.

Health management

Stay healthy with us: thanks to preventive measures, a wide variety of sports and various partnerships.

Mobile working

Whether from home or on the road – our remote working model (up to 60 % mobile) offers you more freedom and independence.

Further training

We satisfy your thirst for knowledge – for example with further training, subject-specific seminars or work and study programmes.