Základní

Senior Data Scientist

Lisboa, Lisbon Metropolitan Area, Portugal Společnost: Jobio Klient / Zaměstnavatel: Hiire
Zveřejněno: 18.05.2026
Datum uzavření: 02.07.2026
Pracovní reference: 21978bc7eb0d07a1f726a97a82053632

Informace o pracovních pozicích

Poloha
Lisboa, Lisbon Metropolitan Area, Portugal
Společnost
Jobio
Klient / Zaměstnavatel
Hiire
Pracovní reference
21978bc7eb0d07a1f726a97a82053632
Typ záznamu
Základní
Vyžaduje se pracovní povolení EU
Ne
Zveřejněno
18.05.2026
Datum uzavření
02.07.2026

Popis práce

Hiire is helping CEGID, a European leader in cloud business management, hire a Senior Data Scientist to advance the data science capabilities.About the RoleCEGID seeks a Senior Data Scientist to develop machine learning models, focusing on building robust models that enhance decision-making processes and drive business intelligence.You'll be working within the AI Factory dedicated to advancing CEGID's management software through AI innovation. The primary goal is to seamlessly integrate AI features into the product line, either by enhancing functionality and user experience or by recreating user workflows to take full advantage of AI technology.What You'll DoLead the design, development, and implementation of machine learning models tailored for finance and accounting applications;Explore and develop generative AI models to address challenges and opportunities in the finance and accounting domain;Collaborate with finance and accounting experts, software engineers, and data engineers to integrate machine learning solutions into existing systems;Demonstrate an interest in and familiarity with MLOps tools and practices to streamline the deployment, monitoring, and management of machine learning models.What We're Looking ForAdvanced degree (MSc or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline;Proven experience (4+ years) in developing and deploying machine learning models, preferably in the finance and accounting domain;Strong programming skills in languages such as Python or R, familiarity with MLOps tools and practices;Experience with generative AI models and/or NLP is a plus.Why Join Our Client?Attractive and transparent remuneration from recruitment;Annual bonus based on the achievement of individual and company goals;Hybrid work model and flexible working hours;25 days of vacation per year;Health insurance;Access to online learning platforms and internal academy;Integration into a dynamic, enthusiastic, and constantly growing team.Ready to take the next step? Apply now and help shape your future, ours, and our clients’ industries’ future!

Dovednosti

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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