Algorithm Developer

649.362 kr. (DKK)/yr

312,19 kr. (DKK)/hr

29.026 kr. (DKK)/yr

The average algorithm developer gross salary in Odense, Denmark is 649.362 kr. or an equivalent hourly rate of 312 kr.. This is 6% lower (-41.194 kr.) than the average algorithm developer salary in Denmark. In addition, they earn an average bonus of 29.026 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Odense, Denmark. An entry level algorithm developer (1-3 years of experience) earns an average salary of 453.442 kr.. On the other end, a senior level algorithm developer (8+ years of experience) earns an average salary of 732.417 kr..

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Salary Potential

708.197 kr. (DKK)

9 %

Based on our compensation data, the estimated salary potential for Algorithm Developer will increase 9 % over 5 years.

Education

This chart displays the highest level of education for:
Algorithm Developer, the majority at 100% with bachelors.

Typical Field of Study: Computer Programming, Specific Applications

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City Overview

Odense, Denmark

The cost of living in Odense, Denmark is 2% less than the average cost of living in Denmark. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

View Cost of Living Page

Odense ( OH-dən-sə, US also OH-thən-sə; Danish: [ˈoðˀn̩sə] ) is the third largest city in Denmark (after Copenhagen and Aarhus) and the largest city on the island of Funen. As of 1 January 2025, the city proper had a population of 185,480 while Odense Municipality had a population of 210,803, making it the fourth largest municipality in Denmark (behind Copenhagen, Aarhus and Aalborg municipalities). Eurostat and OECD have used a definition for the Metropolitan area of Odense (referred to as a F

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This page is an excerpt of the much more complete compensation information available in ERI's Assessor Series.

ERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.

Job Description
Designs, develops and implements new algorithms and tools. Conducts routine and non-routine testing on existing algorithms to identify bugs and areas for optimization. Documents algorithm implementation, user requirements and specifications.
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