Vista previa de la oferta
Data Scientist
Data Science & Analytics
Technical Skills
- Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, Engineering, Physics, Operations Research or another quantitative discipline.
- Proven experience in Data Science, Machine Learning, predictive analytics or applied AI in complex business and technology environments.
- Experience bringing analytical or AI solutions beyond experimentation into business adoption or production use is strongly preferred.
- Strong knowledge of statistics, supervised and unsupervised learning, predictive modelling, optimisation, experimentation and model validation.
- Advanced programming skills in Python and hands-on use of data science / ML libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch or equivalent.
- Strong SQL skills and experience working with large-scale data processing, cloud analytics and enterprise data platforms.
- Experience with model deployment, MLOps practices, CI/CD, Git-based version control, experiment tracking, model monitoring and reproducible development.
- Familiarity with Generative AI, LLMs, RAG, prompt engineering, agentic patterns and frameworks such as OpenAI APIs, Gemini, LangChain or equivalent is a strong advantage.
Soft Skills
- Strong analytical and problem-solving skills, with the ability to translate complex business challenges into practical AI-driven solutions.
- Business curiosity and ability to understand processes, KPIs and decision flows before selecting technical solutions.
- Excellent communication and presentation skills, with the ability to explain complex technical topics to both technical and non-technical stakeholders.
- Strong collaboration and stakeholder management across multidisciplinary and international teams.
- Curiosity, innovation mindset and passion for emerging AI technologies, while maintaining rigour, pragmatism and delivery focus.
- High ownership, accountability and commitment to quality, documentation and continuous improvement.