Základné
Junior Data Scientist - intern
Zverejnené: 18.05.2026
Termín uzávierky: 02.07.2026
Referencie na pracovnú pozíciu: dc7cc27497c48bc03e29e7b72106e944
Informácie o pracovnej pozícii
Poloha
varese, lombardia, Italy
Spoločnosť
JR Italy
Klient / Zamestnávateľ
Dentsu Aegis Network Ltd.
Referencie na pracovnú pozíciu
dc7cc27497c48bc03e29e7b72106e944
Typ zápisu
Základné
Vyžaduje sa pracovné povolenie EÚ
Nie
Zverejnené
18.05.2026
Termín uzávierky
02.07.2026
Popis práce
Junior Data Scientist - intern page is loaded## Junior Data Scientist - internlocations: Milantime type: Full timeposted on: Posted 25 Days Agojob requisition id: R1115116In Merkle’s Data Science team we are looking for a Data Scientist Intern to join our team. The selected candidate will join a young and dynamic environment characterized by cross-functional skills, strong teamwork, collaboration, and individual initiative. Working closely with the team, the intern will support the analysis of large datasets from the web (digital marketing), customer CRMs, and external data sources, contributing to the development of models and advanced analytical solutions.**Job Description:****Key Responsibilities*** Support the understanding and analysis of business problems, contributing to their resolution through analytical and statistical methods.* Assist in designing and implementing complex analyses: from reviewing business performance/lead/visit metrics to preparing key insights for clients.* Participate in managing and analyzing large datasets using various tools and architectures (Google Cloud Platform, BigQuery, Python, R).* Support the team in developing and maintaining analytical models.* Apply innovative approaches to address evolving client needs and solve data-related business challenges.* Collaborate with colleagues from other departments to identify data-driven issues and help generate actionable insights for clients.**Requirements*** Bachelor or Master’s degree in Mathematics, Statistics, Data Science, or related fields (or currently completing one).* Strong interest and passion for data analysis and statistical modeling.* Basic knowledge of statistical modeling principles.* Familiarity with SQL, Python, R, or Matlab.* Good command of written and spoken English.* Teamwork attitude and willingness to learn.* • Creativity, curiosity, and a proactive mindset.* • Flexibility and ability to work in a dynamic environment.**Location:**Milan**Brand:**Merkle**Time Type:**Full time**Contract Type:**Student/Intern (Fixed Term) (tempo determinato)locations: Milantime type: Full timeposted on: Posted 25 Days Ago
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Zručnosti
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