Data Scientist – Text mining/NLP

Are you ready to discover the role of a Data Scientist in Netcompany?

As a Data Scientist, you will:

• Design, implement and optimise advanced AI, NLP, and ML models. Use LLMs, RAG frameworks, and other state-of-the-art approaches.
• Create methods for tokenisation, part-of-speech tagging, named entity recognition, classification, clustering and other text mining-related tasks.
• Fine-tune pre-trained models on domain-specific tasks.
• Conduct thorough research and stay updated on the latest trends and advancements in NLP, ML, and AI technologies.
• Develop and maintain robust, scalable, and efficient code using Python.
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.
• Perform rigorous analysis and experimentation to improve model accuracy, efficiency, and scalability.
• Participate in peer reviews and contribute to the continuous improvement of AI solutions.
• Contribute to the design and implementation of ML application architecture and its solution stack.
• Develop comprehensive reports and visualisations to communicate insights and findings to stakeholders.

What would make you a fit for the role:

• Bachelor's degree and minimum 8 years of relevant hands-on experience in data science, advanced analytics, and/or AI/ML engineering.
• Excellent knowledge of English.
• Experience in Machine Learning and Natural Language Processing.
• Excellent knowledge of Python and libraries (e.g. Pandas, SpaCy, NLTK, Hugging Face).
• Experience with deep learning frameworks for complex model architecture such as TensorFlow or PyTorch.
• Experience with AI-powered code assistants (e.g., Amazon Kiro, Github Copilot), staying updated with advancements in AI-driven code technologies.
• Good knowledge of SQL tooling (Oracle, PostgreSQL).
• Knowledge of NoSQL databases (Elasticsearch, MongoDB) and architectural design of scalable ML solutions such as model servers, GPU resource optimisation.
• Experience with A/B testing and experimental design of ML models, pre-trained models and LLMs like GPT, and other Transformer-based architectures.
• Experience with tools like Matplotlib and Seaborn for creating data visualisations.
• Strong understanding of linguistics and text processing techniques.
• Proficient in continuous code delivery and unit testing.

Being a part of the Netcompany team, you will be provided with:

• 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

If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be!

By joining Netcompany Belgium, you will be an integral part of a distinguished team of 600+ tech enthusiasts working for international projects, primarily within the European Institutions market, with a unique opportunity to shape the future of digital services in an environment that values ideas and fosters growth.

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Please upload your CV in English via the Apply button. All applications will be treated as strictly confidential.

We ensure equal opportunities, treatment, and consideration to all candidates. Discrimination based on sex, racial or ethnic origin, religion or belief, disability, age, sexual orientation or marital status, physical or mental disability, or any other factor protected by applicable laws and regulations is prohibited. As part of the Netcompany culture, we respect human rights and focus on creating a positive workplace, where all employees are valued, and where diversity and inclusion are a vital part of our everyday working experience.

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