Senior Data Scientist, AI Pricing & Performance

Walkway; Granada; On-site; EUR 90,000 - 130,000; Full time

Job summary

Kyndryl in Spain is seeking a Senior Data Scientist to design, develop, and deploy AI solutions that combine traditional machine learning with Generative AI, LLMs, and agentic AI technologies across enterprise needs.

You will collaborate with AI specialists, data scientists, and engineers to deliver scalable, trustworthy AI and drive business impact while applying robust evaluation, governance, and responsible AI practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Mathematics, Statistics, Engineering, or related field with professional experience in Data Science/ML/AI.
• Strong foundations in data science and machine learning, with experience in supervised/unsupervised learning and deep learning.
• Hands-on experience with Generative AI, LLMs, embeddings, and Retrieval-Augmented Generation (RAG).
• Practical knowledge of AI agents, orchestration, reasoning workflows, and agentic architectures.
• Proficiency in Python and ML libraries (Scikit-learn, PyTorch, TensorFlow, Hugging Face).

Responsibilities

• Translate business needs into AI solutions and measurable value using ML, Generative AI, and agentic AI.
• Design, develop, and eval AI solutions across the lifecycle, from prototyping to production deployment.
• Develop Generative AI apps using LLMs, embeddings, RAG, and prompt engineering.
• Lead MLOps/LLMOps practices and contribute to AgentOps for observing and improving agentic systems.

Skills

Data science foundations

Generative AI

LLMs

Agentic AI

Python

ML frameworks

Education

Bachelor's or Master's in CS/AI/math/stats/engineering

Tools

Python

Scikit-learn

PyTorch

TensorFlow

Hugging Face

Job description

Kyndryl in Spain is seeking a Senior Data Scientist to design, develop, and deploy AI solutions that combine traditional machine learning with Generative AI, LLMs, and agentic AI technologies across enterprise needs.

You will collaborate with AI specialists, data scientists, and engineers to deliver scalable, trustworthy AI and drive business impact while applying robust evaluation, governance, and responsible AI practices.