Data Scientist

SoTalent; Amsterdam; Hybrid; EUR 60,000 - 100,000; Full time

Benefits offered by this job

Flexible working

Hybrid work

Wellbeing initiatives

Parental leave

Study assistance

Sabbatical opportunities

Cutting-edge AI projects

Job summary

SoTalent in Amsterdam is seeking a Data Scientist to develop production-grade ML, NLP, and Generative AI solutions that transform complex scientific data into practical applications.

You will design and deploy AI-powered solutions for knowledge discovery, semantic search and decision support using large-scale content and data in a collaborative environment.

Qualifications

• Experience in Data Science, ML, AI, NLP or related quantitative field.
• Strong Python programming with clean, maintainable code.
• Experience with Large Language Models (LLMs) and prompt engineering.
• Knowledge of supervised and unsupervised learning, feature engineering, model evaluation.
• Experience with large text datasets and scientific data.
• Proficiency with ML libraries such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow.
• Excellent communication and collaboration across multidisciplinary teams.

Responsibilities

• Design, develop and deploy ML, NLP and Generative AI solutions for scientific discovery.
• Build models for semantic search, information retrieval, recommendations, QA, summarisation, and content classification.
• Work with large-scale datasets including publications, research data, knowledge graphs and metadata.
• Apply ML techniques including classification, regression, clustering, deep learning, embeddings and retrieval-based methods.
• Fine-tune, evaluate and integrate AI models into production-ready systems.
• Develop clean Python code, reusable data science components and pipelines.
• Monitor performance, detect drift, enable automated retraining and optimisation.
• Collaborate with engineering, product, UX, analytics and domain experts to translate challenges into AI solutions.
• Communicate model performance and recommendations to stakeholders.

Skills

Data Science

Machine Learning

NLP

Statistics

Python

LLMs

Model evaluation

Tools

Pandas

NumPy

SciPy

Scikit-learn

PyTorch

TensorFlow

Job description

Amsterdam, Netherlands | Hybrid/Flexible Working

An exciting opportunity is available for a Data Scientist to develop production-ready machine learning, NLP, and Generative AI solutions that help transform complex scientific data into intelligent, real-world applications.

Working within a collaborative, cross-functional environment, you'll design and deploy AI-powered solutions that improve knowledge discovery, information retrieval, semantic search, and decision support using large-scale scientific content and data.

Key Responsibilities

• Design, develop and deploy machine learning, NLP and Generative AI solutions for scientific discovery and intelligent content understanding.
• Build models supporting semantic search, information retrieval, recommendation systems, question answering, summarisation, entity extraction and content classification.
• Work with large-scale structured and unstructured datasets including scientific publications, research data, knowledge graphs, ontologies, metadata and citations.
• Apply a range of machine learning techniques including classification, regression, clustering, ranking, deep learning, embeddings, LLMs and retrieval-based methods.
• Fine-tune, evaluate and integrate AI models into scalable, production-ready systems.
• Develop clean, maintainable Python code and reusable data science components, pipelines and experimentation frameworks.
• Monitor model performance, detect drift, support automated retraining and continuously optimise deployed solutions.
• Partner closely with engineering, product, UX, analytics and domain experts to translate business challenges into measurable AI solutions.
• Communicate technical concepts, model performance and recommendations to both technical and non-technical stakeholders.

Skills & Experience

• Experience in Data Science, Machine Learning, Artificial Intelligence, Natural Language Processing, Statistics, Computer Science or another quantitative discipline.
• Strong Python programming skills with experience writing clean, well-tested and maintainable code.
• Experience working with Large Language Models (LLMs), including platforms such as GPT, Claude or Gemini, with exposure to prompt engineering, fine-tuning or model integration.
• Solid understanding of supervised and unsupervised learning, feature engineering, model evaluation and performance optimisation.
• Experience working with large structured, semi-structured or unstructured datasets, particularly text-heavy datasets.
• Proficiency with modern machine learning libraries such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch or TensorFlow.
• Strong analytical thinking with the ability to solve complex problems and convert ambiguous requirements into practical solutions.
• Excellent communication and collaboration skills with experience working across multidisciplinary teams.

What's on Offer

• Flexible working arrangements supporting work-life balance.
• Hybrid working environment.
• Wellbeing initiatives, parental leave, study assistance and sabbatical opportunities.
• The opportunity to work on cutting-edge AI, NLP and machine learning technologies.
• A collaborative, innovative environment where your work contributes to advancing scientific research and healthcare worldwide.
• Competitive salary and comprehensive benefits package.

If you're passionate about applying machine learning and Generative AI to solve meaningful real-world problems while working with large-scale scientific data, this is an excellent opportunity to make a significant impact.