Data Scientist
EUROPEAN DYNAMICS
Source: Himalayas ↗
Working arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.
Provider location / applicant eligibility: Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See (Vatican City State), Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Kosovo, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom, Åland Islands
About the role
Skills mentioned in the listing
Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.
Why these skills appear
Special educational needs · mentioned
ural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (21652/10/2026). We offer a competitive remuneration (either on contract basis or re
Control systems · mentioned
visualization tools; Knowledge of agile development methodologies and version control systems such as Git; Knowledge of project management software such as JIRA and Microsoft Project; Knowledge of collaboration and d
Python · mentioned
rom digital or social media sources; Knowledge of programming languages (e.g., Python, R, SQL; Perl optional) commonly used in data science for modelling and automation; Knowledge of machine learning, deep learning and
SQL · mentioned
or social media sources; Knowledge of programming languages (e.g., Python, R, SQL; Perl optional) commonly used in data science for modelling and automation; Knowledge of machine learning, deep learning and natural la
Git · mentioned
nowledge of agile development methodologies and version control systems such as Git; Knowledge of project management software such as JIRA and Microsoft Project; Knowledge of collaboration and documentation platforms s
Data analysis · requirement-context
orking experience; Minimum 3 years of professional experience in data science, data analysis, data visualisation and quantitative research, including designing and implementing data pipelines, data cleaning and data pro
Data science · requirement-context
of relevant working experience; Minimum 3 years of professional experience in data science, data analysis, data visualisation and quantitative research, including designing and implementing data pipelines, data cleanin
Machine learning · mentioned
onal) commonly used in data science for modelling and automation; Knowledge of machine learning, deep learning and natural language processing (e.g., Scikit-learn, TensorFlow, PyTorch, Hugging Face); Knowledge of web s
Deep learning · requirement-context
processing; Minimum 3 years of experience in statistical analysis, machine and deep learning model development, and model evaluation; Minimum 2 years of experience in account-based data collection, scraping, and workin
Natural language processing · mentioned
for modelling and automation; Knowledge of machine learning, deep learning and natural language processing (e.g., Scikit-learn, TensorFlow, PyTorch, Hugging Face); Knowledge of web scraping tools and libraries, large s
PyTorch · mentioned
deep learning and natural language processing (e.g., Scikit-learn, TensorFlow, PyTorch, Hugging Face); Knowledge of web scraping tools and libraries, large scale data collection from social media platforms, including a
TensorFlow · mentioned
ne learning, deep learning and natural language processing (e.g., Scikit-learn, TensorFlow, PyTorch, Hugging Face); Knowledge of web scraping tools and libraries, large scale data collection from social media platforms,
Data engineering · mentioned
orms, including account-based methodologies (e.g., sock puppets); Knowledge of data engineering and data visualization tools; Knowledge of agile development methodologies and version control systems such as Git; Knowl
Agile · mentioned
ts); Knowledge of data engineering and data visualization tools; Knowledge of agile development methodologies and version control systems such as Git; Knowledge of project management software such as JIRA and Microsof
Jira · mentioned
control systems such as Git; Knowledge of project management software such as JIRA and Microsoft Project; Knowledge of collaboration and documentation platforms such as Confluence and SharePoint; Certifications in Co
Project management · mentioned
evelopment methodologies and version control systems such as Git; Knowledge of project management software such as JIRA and Microsoft Project; Knowledge of collaboration and documentation platforms such as Confluence a
Data visualisation · requirement-context
ce; Minimum 3 years of professional experience in data science, data analysis, data visualisation and quantitative research, including designing and implementing data pipelines, data cleaning and data processing; Minim