Основы

DATA SCIENTIST / SENIOR DATA SCIENTIST

madrid, Spain Компания: JR Spain Клиент / Работодатель: NTT DATA Europe & Latam
Опубликовано: 21.05.2026
Дата закрытия: 05.07.2026
Рекомендация по вакансии: 4cebac3ad63cce8abe927635e5e0dc02

Информация о вакансии

Расположение
madrid, Spain
Компания
JR Spain
Клиент / Работодатель
NTT DATA Europe & Latam
Рекомендация по вакансии
4cebac3ad63cce8abe927635e5e0dc02
Тип листинга
Основы
Требуется разрешение на работу в ЕС
Нет
Опубликовано
21.05.2026
Дата закрытия
05.07.2026

Описание должности

Job description: NTT DATA is seeking a passionate Data Scientist / Senior Data Scientist to join our AI team. This is a fantastic opportunity to work alongside brilliant minds in data science, where you can learn and enrich yourself in a dynamic and innovative environment, leveraging cutting-edge Artificial Intelligence techniques to drive forward-thinking solutions in a company that's at the forefront of technological advancement.


Qualifications: Bachelor's or master's degree in mathematics, Statistics, Informatics Engineering, Economics, or Physics. Courses in Artificial Intelligence, Analytics, Big Data, or similar fields are a plus.


Experience: For junior: A minimum of 1 year of experience in Data Science or related fields. For senior: A minimum of 3 years of experience in Data Science or related fields.


Skills:

  • Required:
  • Machine Learning, optimization and advanced analytics techniques
  • Work with team members across multiple disciplines to understand the data
  • Descriptive and exploratory statistics applied to detecting patterns and trends in data.
  • Advanced knowledge in Python.
  • SQL and relational databases.
  • Visualization and communication with clients, mastering tools such as PowerBI, Tableau, Dash, Streamlit, etc.
  • Valuable:
  • Experience using Git
  • NLP, Generative AI, Deep Learning, methaeuristic algorithms
  • Experience working with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services, including data storage, processing, and machine learning capabilities.
  • Big Data technologies: Spark, Big Query, Snowflake, Databricks, etc.


Key Responsibilities:

  • Collaborate with cross-functional teams to understand business needs and translate them into data science projects.
  • Design, develop, and deploy machine learning models and algorithms to solve complex business problems.
  • Conduct data analysis and visualization to communicate insights and recommendations to stakeholders.
  • Stay updated with the latest trends and advancements in data science and AI, and apply them to improve existing processes and solutions.
  • Mentor junior data scientists (for Senior positions) and contribute to a culture of continuous learning and improvement within the team.


Join our dynamic and passionate team at a leading technology and services company!

Send in your application and start making your mark on the future of the industry today!


At NTT Data, we believe everyone is unique and different, this is why we bet for an inclusive culture that recognizes and values diversity. We work day after day to create an environment in wich we can explore, live and enhance our own singularity.


#WeAreAllUnique #YouMakeUsUnique

Навыки

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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