Wien (Junior) Data Scientist (m/f/d)

Gbtec Ag

Wien

Hybrid

EUR 41,000 - 50,000

Full time

48 hours ago
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Benefits offered by this job

Hybrid working model
Training & mentoring
Public transport subsidy
Bike leasing
Fruit & beverages
Health & wellbeing benefits

Job summary

GBTEC in Vienna, Austria, invites applications for a (Junior) Data Scientist (m/f/d). You will translate business requirements from Risk Management and GRC into quantitative models, simulations, and data-driven analyses, and work with our development team to integrate them into our software.

Requirements include a Bachelor's in Data Science, Stats, Math, or CS; knowledge of statistics and Monte Carlo; SQL plus R or Python; ability to read code; fluent German and English; EU work authorization.

Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a comparable field.
  • Basic knowledge of statistics, probability theory, and Monte Carlo simulation.
  • Confident working with data structures and tabular data.
  • Basic knowledge of SQL, ideally with initial experience in R or Python.
  • Ability to read and understand existing code.
  • Very good German and English skills.
  • Valid work authorization for the EU.

Responsibilities

  • Develop quantitative models and simulations for our software, including statistical distributions and Monte Carlo simulations.
  • Translate business requirements into logic, rules, and data requirements for technical implementation.
  • Work with existing code and further develop data-driven features.
  • Analyze, prepare, and validate structured data.
  • Define test cases, review edge cases, and validate new and existing features.
  • Systematically investigate unexpected results with regard to data, business logic, and technical implementation.

Skills

German
English
Analytical thinking
Code reading

Education

Bachelor's degree in Data Science
Bachelor's degree in Statistics
Bachelor's degree in Mathematics
Bachelor's degree in Computer Science

Tools

SQL
R
Python

Job description

Supercharge your business operations with the most intuitive AI-powered BPM software.

Reduce IT costs and accelerate your IT transformation with our intelligent EAM solution.

Redefine the way you work with record-breaking workflow automation.

Explore our comprehensive GRC platform tailored to meet your needs.

Unlock crucial insights from hidden process data and swiftly eliminate weak points.

Your access to knowledge, trends, and best practices.

Insights for today, strategies for tomorrow - through our webinars and events.

Expert knowledge for your digital transformation.

Knowledge that moves you forward - for processes that inspire.

Inspiring articles, case studies, and best practices.

See how our customers drive real results with us.

Discover the details and functionality of our products.

Uncover the story behind GBTEC and meet the leadership team.

Join our team and seize your career opportunities at GBTEC.

As a (Junior) Data Scientist (m/f/d), you will support us in developing quantitative features for our GRC software solutions. You will translate business requirements from the areas of Risk Management and GRC into quantitative models, structured logic, and data-driven analyses, and work together with our development team to integrate them into our software. In doing so, you will work with statistical methods, simulations, and structured data, while exploring how business requirements can be effectively modelled and technically implemented.
We are looking for strong team players who enjoy working on quantitative problems, have some initial experience with data and programming, and are eager to familiarize themselves with our software as well as the fields of Risk Management and GRC.

  • Develop quantitative models and simulations for our software, including statistical distributions and Monte Carlo simulations
  • Translate business requirements into logic, rules, and data requirements for technical implementation
  • Work with existing code and further develop data-driven features
  • Analyze, prepare, and validate structured data
  • Define test cases, review edge cases, and validate new and existing features
  • Systematically investigate unexpected results with regard to data, business logic, and technical implementation
Your profile
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a comparable field
  • Basic knowledge of statistics, probability theory, and Monte Carlo simulation
  • Confident working with data structures and tabular data
  • Basic knowledge of SQL, ideally with initial experience in R or Python
  • Ability to read and understand existing code
  • Analytical, structured, and detail-oriented approach to work
  • Ability to communicate technical and statistical concepts in an understandable way
  • Interest in Risk Management, simulation, GRC, or quantitative modelling
  • Very good German and English skills

Valid work authorization for the EU

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a comparable field
  • Basic knowledge of statistics, probability theory, and Monte Carlo simulation
  • Confident working with data structures and tabular data
  • Basic knowledge of SQL, ideally with initial experience in R or Python
  • Ability to read and understand existing code
  • Analytical, structured, and detail-oriented approach to work
  • Ability to communicate technical and statistical concepts in an understandable way
  • Interest in Risk Management, simulation, GRC, or quantitative modelling
  • Very good German and English skills

Valid work authorization for the EU

The minimum annual gross salary under the applicable collective agreement is €45,738. Depending on qualifications and relevant experience, a higher salary may be offered.

Why us?
  • A highly motivated and collaborative working environment with a strong focus on knowledge sharing
  • Support for your personal and professional development through internal and external training, mentoring, and other learning opportunities
  • Flexible working hours, flat hierarchies, and a hybrid working model
  • A modern, high-performance workplace with up-to-date equipment
  • Public transport subsidy, bike leasing options, and access to a corporate benefits platform
  • Free fruit and drinks, as well as a range of health and well-being benefits
Your contact persons

GBTEC stands for diversity in practice and therefore values all applications, regardless of nationality, ethnic and/or social origin, gender, religion or belief, disability, age, or sexual identity.

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