Data Scientist – Agentic AI

Kyndryl

Madrid

Híbrido

EUR 60.000 - 90.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Kyndryl in Madrid is seeking a hands-on AI/ML professional to contribute to agentic and generative AI initiatives, applying data-driven approaches in real client delivery and internal operations. You will collaborate with data scientists, engineers, and architects to build applied AI solutions, develop ML models, and participate across the solution lifecycle.

This role emphasizes practical delivery, cross-functional teamwork, documentation, and continuous learning in a hybrid, supportive

Formación

  • 2+ years in data science, analytics, or ML projects.
  • Strong Python and core data science libraries (Pandas, NumPy, Scikit-learn).
  • Spanish native or high level and fluent English.

Responsabilidades

  • Collaborate with data scientists, engineers, and architects on applied AI solutions.
  • Develop, validate, and evolve ML models and LLM components for real business use cases.
  • Participate across the solution lifecycle: data exploration, prototyping, validation, and improvement.
  • Contribute to development of agents, analytical pipelines, and decision logic for practical delivery.

Conocimientos

Python
Pandas
NumPy
Scikit-learn
Matplotlib
XGBoost
LightGBM
TensorFlow
PyTorch
Data preprocessing
Spanish fluency
English fluency

Educación

Bachelor's degree in Computer Engineering
Bachelor's degree in Mathematics
Bachelor's degree in Data Science

Herramientas

ETL tools
SQL
Data visualization tools
Jupyter

Descripción del empleo

Partially Remote

KES51576 Barcelona Numancia (KES51576)

Madrid, Spain

Full time

R-66864

Who We Are

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.

The Role
About the role

You will join Kyndryl's transversal initiative on Agentic and Generative AI , contributing to the design, implementation, and evolution of data-and model-driven solutions that support both client delivery and internal operational efficiency.

This is a hands-on, impact-oriented role , focused on applying AI in real environments.

What you will do
  • Collaborate with data scientists, engineers, and architects to build applied AI and agent-based solutions .

  • Develop, validate, and evolve machine learning models and LLM-based components for real business and delivery use cases.

  • Participate across the solution lifecycle: data exploration, prototyping, validation, and continuous improvement.

  • Contribute to the development of agents, analytical pipelines, and decision logic , balancing technical quality with practical delivery needs.

  • Document solutions, experiments, and learnings to support adoption and scalability.

  • Work in a cross-functional, evolving environment , interacting with teams at different levels of AI maturity.

Who You Are
Essential Qualifications:
  • At least 2 years of experience indata science,advanced analytics, ormachine learningprojects.

  • Solid skills inPythonand some of core data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, XGBoost, LightGBM).

  • Familiarity withneural networksand deep learning frameworks (TensorFlow, PyTorch).

  • Strong understanding ofdata preprocessing, handling missing values, unbalanced datasets, and outlier detection.

  • Genuine curiosity and motivation to learn, experiment, and grow in applied AI.

  • Spanish native or high level and fluid English.

Education & Certifications:

Bachelor's degree inComputer engineering,Mathematics,Statistics,Physics,Data Science, or related field.

Preferred Skills:
  • Exposure todata pipelines,ETL processes, anddata preparation workflows.

  • Experience withdata visualizationand presentation of insights to cross-functional teams.

  • Postgraduate or Master's degree inArtificial Intelligence,Machine Learning, orData Analyticsis valued.

Being You

The Kyn in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every requirement, we encourage you to apply. We believe in growth, and we're excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging - being a valued, respected, trusted member of the team - is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That's The Kyndryl Way.

What You Can Expect

Your career with us isn't just a job - it's an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow.

From your very first day, you'll dive into impactful work that powers the systems our customers rely on every day. You won't just contribute - you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.

We're here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you'll have everything you need to thrive and evolve. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities - from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you'll be part of a culture that values empathy, restless learning, and a

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