Основы

Data Scientist - AI/ML for Advanced Systems

pisa, toscana, Italy Компания: JR Italy Клиент / Работодатель: Intecs
Опубликовано: 18.05.2026
Дата закрытия: 02.07.2026
Рекомендация по вакансии: d6bc389e1e6791c149ae14ea6a259224

Информация о вакансии

Расположение
pisa, toscana, Italy
Компания
JR Italy
Клиент / Работодатель
Intecs
Рекомендация по вакансии
d6bc389e1e6791c149ae14ea6a259224
Тип листинга
Основы
Требуется разрешение на работу в ЕС
Нет
Опубликовано
18.05.2026
Дата закрытия
02.07.2026

Описание должности

A leading engineering firm in Italy seeks a Data Scientist to enhance their AI Laboratory. The role involves designing AI solutions, analyzing data, and collaborating on research initiatives. Candidates should have a Master's in a STEM field, solid Python skills, and experience with machine learning frameworks. The position offers a hybrid work model post-assessment and includes perks like meal vouchers. Candidates must be willing to work in Defence-related projects. #J-18808-Ljbffr

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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