Data Scientist

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Netcompany

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2000

💼 Consulting

📦 Logistics

💰 Venture Round on 2016-01

Consulting • Logistics • IT

Netcompany is one of Europe’s fastest growing IT companies, dedicated to leading the way in responsible digitalization. It focuses on building modern solutions rooted in democracy, justice, transparency, and social security. By providing customizable and AI-ready platforms, Netcompany enhances productivity and connects businesses, governments, and citizens through intelligent services. The company is committed to promoting digital rights and ensuring a secure digital future for Europe.

📋 Description

• Collaborate with stakeholders to collect requirements, frame business problems as data science hypotheses, define success metrics, and develop or deploy advanced data mining and machine learning solutions. • Collaborate with User Experience (UX) and product teams to specify design requirements for the effective presentation and interpretation of model outputs and insights. • Develop process to monitor and analyse data accuracy • Identify, collect, and prepare data for analysis, collaborating with Data Analysts to ensure robust production-grade data pipelines, with a focus on feature engineering and data readiness for modelling. • Produce data models according to specific problems statements. • Develop and implement machine learning algorithms, statistical models, and scripts to solve specific business problems. • Work with Data Analysts and Architects on the design of the analytics architecture to ensure it supports the scalability and performance requirements of data science models. • Write different documentation associated with the tasks and liaise with other teams as necessary to address cross-system interdependencies.

🎯 Requirements

• Bachelor's degree and minimum 8 years of relevant hands-on experience in data science, advanced analytics, and AI/ML engineering. • Expertise in designing, implementing, and validating end-to-end data-driven solutions, including forecasting, recommendation systems, anomaly detection, and sentiment analysis. • Hands-on experience building predictive and text-based models using modern tools and frameworks such as Scikit-learn, TensorFlow, PyTorch, and Hugging Face. • Proficiency in primary data science programming languages (Python, R, SQL; Perl optional) for data modeling, scripting, and workflow automation. • Strong capability in ETL/ELT pipeline design (dbt, Azure Data Factory, Talend) and managing scalable architectures (data lakes, lakehouses, Hadoop) for large-scale AI workloads. • Experience working with relational and non-relational database systems (SQL, NoSQL, MongoDB) to extract and process data efficiently at scale. • Practical knowledge of operationalizing machine learning solutions through containerization, APIs, serving frameworks, model registries, and CI/CD pipelines to ensure reproducible delivery. • Strong understanding of experiment design (A/B testing), AI compliance/ethics (GDPR, EU AI Act, bias/drift monitoring), BI tools (Tableau, SAS, SAP), and fluent professional English (C1+).

🏖️ Benefits

• Opportunity to work in a modern environment. • Competitive compensation & benefits package • Hospitalization plan • Hybrid working model • Meal allowance • Mobility budget or commuting allowance (if applicable) • Well-being activities (on premises) • Continuous learning opportunities using the most modern methods (unlimited access to Udemy for Business, ad-hoc trainings) • Personalized development plan for targeted career growth