Data Scientist (Machine Learning & NLP)

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. Join us and contribute to the development of AI-driven solutions in a client delivery environment, working with modern machine learning techniques and data-driven approaches. This role focuses on data analysis, model development, and applying machine learning to solve business problems.

You will work alongside engineers and stakeholders to translate data into actionable insights and support the development of intelligent solutions. Your responsibilities will include: • Analyzing and exploring data to identify patterns and insights • Developing and training machine learning models • Performing feature engineering and model validation • Applying NLP techniques to process structured and unstructured data • Supporting the translation of business requirements into data solutions • Contributing to model evaluation and explainability • Collaborating with cross-functional teams in a delivery environment • Ideally, 2+ years of experience in data science or machine learning roles • Strong knowledge of Python and data analysis libraries • Experience with machine learning frameworks (Scikit-learn, TensorFlow, PyTorch) • Experience with data analysis and statistical methods • Understanding of machine learning model development and evaluation • Experience with NLP techniques • Strong analytical and problem-solving skills • Comfortable working in Agile environments • Comfortable using English in a professional environment • Exposure to Large Language Models (LLMs) • Experience with Explainable AI techniques • Experience working with cloud environments • Familiarity with data visualization tools or reporting • German or French knowledge is a plus Romania Data & Analytics Hybrid Professional Multiple Cities