Banking Data Scientist - Advanced Analytics, Ia Generativa

NTT DATA
Ávila, Spain
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
2 years minimum
Working hours
Regular working hours
Languages
English, Spanish

Tech stack

Artificial Intelligence Data Analysis Extract Transform Load (ETL) Data Transformation Machine Learning NumPy Tensorflow Pytorch Large Language Models Deep Learning Generative AI Pandas
+4 more
Matplotlib Core Data Scikit Learn Xgboost

Job description

Partially Remote KES*** Barcelona Numancia (KES) Madrid, Spain Full time R-** 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 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… (content continues with company culture and inclusion statements) What You Can Expect … (culture & benefits content) …#J-*****-Ljbffr

Requirements

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.

About the company

Partially Remote KES*** Barcelona Numancia (KES) Madrid, Spain Full time R-** 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 .

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