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Data Scientist - Agentic AI

Develop and validate ML models and LLM components for real business use cases

You will collaborate with data scientists, engineers, and architects to build applied AI and agent-based solutions. This includes developing, validating, and evolving machine learning models and LLM-based components for real business and delivery use cases. You will participate across the solution lifecycle: data exploration, prototyping, validation, and continuous improvement, contributing to agents, analytical pipelines, and decision logic w...

Why This Role?

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

Key Responsibilities

  • 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 use cases
  • Participate in data exploration, prototyping, validation, and continuous improvement of AI solutions
  • Contribute to the development of agents, analytical pipelines, and decision logic
  • Document solutions, experiments, and learnings to support adoption and scalability

Requirements

  • Approximately 2 years of experience in data science, advanced analytics, or machine learning projects
  • Solid skills in Python and core data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, XGBoost, LightGBM)
  • Familiarity with neural networks and deep learning frameworks (TensorFlow, PyTorch)
  • Strong understanding of data preprocessing, handling missing values, unbalanced datasets, and outlier detection
  • Bachelor's degree in Computer engineering, Mathematics, Statistics, Physics, Data Science, or related field
  • Spanish native or high level and fluent English

Required Skills

pythonpandasnumpyscikit-learntensorflowpytorchMachine LearningLLMData ScienceAgentic AIData Analysis

Keywords

Data ScientistAgentic AIMachine LearningLLMPythonKyndrylRemoteAI Solutions
View Original Description from The Muse

Original description from The Muse

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. If this role sounds exciting but you don't meet every single requirement, we still encourage you to apply . We value curiosity, learning mindset, and potential. Who You Are Essential Qualifications: Approximately 2 years of experience in data science, advanced analytics, or machine learning projects. Solid skills in Python and some of core data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, XGBoost, LightGBM). Familiarity with neural networks and deep learning frameworks (TensorFlow, PyTorch). Strong understanding of data 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 in Computer engineering, Mathematics, Statistics, Physics, Data Science, or related field. Preferred Skills: Exposure to data pipelines, ETL processes, and data preparation workflows. Experience with data visualization and presentation of insights to cross-functional teams. Postgraduate or Master's degree in Artificial Intelligence, Machine Learning, or Data Analytics is 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. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health-because we know that when you feel your best, you do your best. From your very first da

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Company
Kyndryl
Source
The Muse
Job Type
full time
Location
Remote · Open worldwide
Seniority
mid
Posted
May 28, 2026

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Frequently asked questions

Is Data Scientist - Agentic AI at Kyndryl a remote job?
Yes. Data Scientist - Agentic AI at Kyndryl is a fully remote role open to candidates worldwide.
What type of employment is Data Scientist - Agentic AI at Kyndryl?
This is a full time position.
How do I apply?
Click the "Apply" button on this page to go to the official application at Kyndryl.

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