Grundlæggende
Senior Data Scientist
Opslået: 18.05.2026
Afslutningsdato: 02.07.2026
Jobreference: 21978bc7eb0d07a1f726a97a82053632
Jobinformation
Beliggenhed
Lisboa, Lisbon Metropolitan Area, Portugal
Selskab
Jobio
Klient / Arbejdsgiver
Hiire
Jobreference
21978bc7eb0d07a1f726a97a82053632
Listetype
Grundlæggende
EU-arbejdstilladelse kræves
Nej
Opslået
18.05.2026
Afslutningsdato
02.07.2026
Jobbeskrivelse
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!
Færdigheder
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