Data Scientist

Kion Group; Barcelona; Presencial; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A global logistics solutions provider in Barcelona seeks a professional with expertise in data analytics and machine learning. The ideal candidate will have at least 3 years of experience and strong Python programming skills. Responsibilities include designing and deploying digital solutions, preparing data for analysis, and collaborating in interdisciplinary teams. The role offers attractive remuneration and supportive benefits like private health insurance and food allowance.

Servicios

Attractive remuneration

Private health insurance

Food allowance

Extensive trainings

Support for employees with disabilities

Formación

• 3+ years of professional experience required.
• Experience in design and maintenance of data-intensive applications.
• Fluent in English is necessary.

Responsabilidades

• Design and deploy digital solutions in data analytics and AI.
• Collaborate in interdisciplinary teams with various professionals.
• Prepare and model structured and unstructured data for analysis.

Conocimientos

Data analysis methods

Machine learning

Python programming

Data visualization

Communication skills

Educación

Completed studies in computer science, mathematics, physics or comparable education

Herramientas

Pandas

scikit-learn

TensorFlow

Power BI

SQL

Descripción del empleo

Linde Material Handling is among the world leaders in the manufacturing of forklifts, warehouse trucks, and high‑performance solutions for intralogistics. Since 2006, Linde has been part of the KION Group.

Our values are:
INTEGRITY – we do what is right
COLLABORATION – we trust each other
COURAGE – we drive change and innovation
EXCELLENCE – we deliver exceptional value to our customers

You will work for a successful global company in an international environment.

Are you ready for a new challenge? Then you might be the one we are looking for!

About the company

We are a socially responsible company that offers equal employment opportunities, promotes diversity, and respects differences within our organization. We do not tolerate any form of discrimination, harassment or aggression—whether verbal or physical, direct or indirect—against individuals.

What we offer

• Attractive remuneration based on your experience, skills and development.
• Extensive trainings in your area of responsibility.
• The opportunity to participate in the international projects and a significant influence on company IT development.
• Barcelona (Zona Franca).
• Private health insurance.
• Food allowance.
• Committed to Diversity and Society: support for employees with children with disabilities.

Tasks and Qualifications

Your role:

• Design, build and deploy digital solutions in the area of data analytics, machine learning and generative AI to derive added value from large volumes of data for our internal and external customers.
• Prepare, clean and model structured and unstructured data and apply statistical methods and machine learning algorithms.
• Apply machine learning and generative AI models for end‑to‑end solution building.
• Leverage generative AI methods like RAG and agentic AI to scale existing pilots and develop new features and products.
• Collaborate closely in interdisciplinary teams with data analysts, data scientists, data engineers, business units, UX designers and IT departments.

Your profile:

• Completed studies in computer science, mathematics, physics or a comparable education.
• 3+ years of professional experience.

• Experience in design, implementation and maintenance of data‑intensive applications.
• Knowledge and experience in several of the following areas:
  • Hands‑on application of methods of data analysis and artificial intelligence (statistics, machine learning, deep learning, generative AI).
  • Hands‑on experience in designing, developing and deploying RAG.
  • Proven ability to develop and deploy Agentic AI frameworks to automate complex workflows and enable autonomous decision‑making.
  • Excellent Python programming skills and familiarity with relevant libraries (e.g. Pandas, scikit‑learn, Langchain, TensorFlow, PyTorch).
  • Visualization of complex interrelationships with Power BI and Python (esp. Matplotlib, Seaborn, Streamlit).
  • Data modeling and data management, databases and database queries (e.g. SQL and NoSQL).
  • Distributed systems and common Big Data technologies.
  • Use of cloud‑based platforms, ideally Azure and GCP.

• Strong conceptual and analytical skills.
• Excellent communication and consulting skills.
• High degree of initiative and solution orientation.
• Fluent in English.