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Himalayas · Partner listing

Data Scientist

EUROPEAN DYNAMICS

⌖ United KingdomSalary not providedRemoteNot specified · Full-time

Source: Himalayas ↗

Location & working arrangement

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

We currently have a vacancy for a Data Scientist fluent in English, to offer his/her services as an expert remotely (within EU). In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team. Tasks: Social media data scraping and analysis to study platform features impact on users; Evaluating the effectiveness of different recommender systems and algorithms on social media platforms; Designing and implementing experiments with sock puppets methodologies (account-based data collection) to test the impact of recommender systems on users; Designing and implementing data visualisations to communicate social media insights to stakeholders; Provide comprehensive project support throughout its lifecycle, including the development of work plans and timelines, meetings and stakeholder interactions, tracking of infrastructure requirements and resource allocation, monitoring of tasks progress against milestones and deliverables, and ensuring effective communication between technical teams and project leadership. Requirements University degree in IT or relevant discipline, combined with minimum 7 years 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 cleaning and data 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 working with large-scale datasets from 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 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 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; Knowledge of project management software such as JIRA and Microsoft Project; Knowledge of collaboration and documentation platforms such as Confluence and SharePoint; Certifications in Computer Science, Engineering, Statistics, Mathematics, or related field; Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural 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 remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site (www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS () is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy. Originally posted on Himalayas

Skills mentioned in the listing

Special educational needsControl systemsPythonSQLGitData analysisData scienceMachine learningDeep learningNatural language processingPyTorchTensorFlowData engineeringAgileJiraProject managementData visualisation

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