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6.180

Contabilita jobs in Italy

Junior Research & Data/AI Engineer

ION

Pisa
Hybrid
EUR 35,000 - 55,000
30+ days ago
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BACK OFFICE CATEGORIA PROTETTA

Gi Group S.p.A

San Giuliano Milanese
On-site
EUR 30,000 - 50,000
30+ days ago

JUNIOR DATA ANALYST- CATEGORIA PROTETTA (ART.1)

Eni

Milano
On-site
EUR 30,000 - 40,000
30+ days ago

GEOMETRA DI CANTIERE

Gi Group S.p.A

Ostra Vetere
On-site
EUR 30,000 - 50,000
30+ days ago

Contabile Esperta

Studio Commercialistico Treviso

Breda di Piave
On-site
EUR 30,000 - 50,000
30+ days ago
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ADDETTO/A PREVENDITA TLC/VDS

Gi Group S.p.A

Roma
On-site
EUR 30,000 - 50,000
30+ days ago

IT SAP Controlling Expert (technology deparment - full remote)

Experteer Italy

Italy
Remote
EUR 60,000 - 90,000
30+ days ago

Deal Advisory Transaction Services Analyst | Padova

KPMG Italy

Padova
Hybrid
EUR 30,000 - 45,000
30+ days ago
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Finance Project Manager Service

Alstom

Nola
On-site
EUR 45,000 - 65,000
30+ days ago

Addetto/a Ufficio Acquisti

Gi Group S.p.A

Moncalieri
On-site
EUR 24,000 - 25,000
30+ days ago

Finance Specialist

Lundbeck

Milano
On-site
EUR 50,000 - 70,000
30+ days ago

Financial Controller

Binance

Cis
Remote
EUR 65,000 - 85,000
30+ days ago

Senior Sales Executive Jw Marriott Venice Resort & Spa 2026

Marriott Hotels Resorts

Venezia
On-site
EUR 25,000 - 35,000
30+ days ago

Staff Assistant (Headquarters Support)

NATO

Napoli
On-site
EUR 30,000 - 50,000
30+ days ago

Unipol Underwriter Program

Gruppo Unipol

Milano
On-site
EUR 30,000 - 50,000
30+ days ago

Finance Project Manager Service

ALSTOM Gruppe

Nola
On-site
EUR 40,000 - 60,000
30+ days ago

Accounts Payable Specialist - Hybrid/Remote (Milan)

NHOA Energy

Milano
On-site
EUR 30,000 - 35,000
30+ days ago

Accounts Payable

NHOA Energy

Milano
On-site
EUR 30,000 - 35,000
30+ days ago

Senior Tax and Finance Specialist

Huawei Technologies Italia

Pisa
On-site
EUR 60,000 - 80,000
30+ days ago

Assistant Restaurant Manager - Borgo Pignano Florence (EN)

Château de Mercuès

Firenze
On-site
EUR 50,000 - 70,000
30+ days ago

Business Controller Italy (m/f/d) (Hybrid)

Falkensteiner 62 & Spa

Jesolo
Hybrid
EUR 40,000 - 60,000
30+ days ago

Business Controller Italy (m/f/d) (Hybrid)

Falkensteiner 62 & Spa

Milano
Hybrid
EUR 40,000 - 60,000
30+ days ago

Cluster Chief Engineer, Sicily

Experteer Italy

Sicilia
On-site
EUR 50,000 - 70,000
30+ days ago

HSE MANAGER

Link HR

Milano
On-site
EUR 40,000 - 60,000
30+ days ago

Supply Chain Finance Specialist - Maternity Cover

Element Solutions Inc

San Martino
On-site
EUR 40,000 - 60,000
30+ days ago

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Junior Research & Data/AI Engineer
ION
Pisa
Hybrid
EUR 35,000 - 55,000
Full time
30+ days ago

Job summary

A financial technology firm in Tuscany is seeking a Junior Research & Data/AI Engineer to join their multidisciplinary team. This hybrid role combines quantitative research with data engineering to design and deploy innovative models that enhance financial products. The ideal candidate will have a Master’s degree in a quantitative field, solid skills in econometrics and machine learning, and proficiency in Python. Opportunities to collaborate with top universities and research networks are available in this role.

Qualifications

  • Master’s degree in a relevant quantitative field.
  • Solid foundation in econometrics, machine learning, and data analysis.
  • Proficiency in Python and familiarity with big data frameworks.
  • Strong analytical mindset and problem-solving skills.
  • Good communication skills and willingness to learn advanced techniques.

Responsibilities

  • Support applied research initiatives in economics and finance.
  • Implement and validate models using econometrics and machine learning.
  • Design and maintain scalable data pipelines using PySpark.
  • Implement and optimize ML workflows for production.
  • Participate in seminars and contribute to documentation.

Skills

Econometrics
Machine learning
Data analysis
Python
Big data frameworks (PySpark, Databricks)

Education

Master’s degree in Economics, Finance, Data Science, Computer Science, AI, or related quantitative field
Job description
About ION and Our Research Mission

At ION, research is not separate from product — it is the engine of innovation.

Our mission is to transform the world of financial and economic intelligence through rigorous, data-driven research embedded directly in product development.

ION’s Core Banking and Analytics platforms provide access to one of the most comprehensive data ecosystems in the financial sector — spanning transactional, accounting, behavioral, textual, and unstructured data from across multiple banking institutions.

Our team drives the scientific and technological development of ION’s core financial products — including credit risk scoring, early warning systems, portfolio monitoring, and digital finance analytics — while advancing the global state of knowledge through collaborations and participation in top-tier conferences.

About the Role

We are seeking a Junior Research & Data/AI Engineer to join our multidisciplinary research and engineering team.

This hybrid role combines quantitative research and data engineering skills to design, implement, and deploy innovative models and data-driven solutions that power ION’s financial products.

You will work in an environment where academic rigor meets applied innovation, contributing to model development, data pipelines, and machine learning workflows.

This position offers opportunities to collaborate with ION Labs hosted at Bocconi University, HEC Paris, and leading U.S. institutions, and to learn from senior experts through joint projects and internal training.

Key Responsibilities
Research & Modeling
  • Support applied research initiatives in economics, finance, and data science.
  • Implement and validate models using econometrics, machine learning, and forecasting techniques.
  • Explore innovative methodologies and integrate diverse data sources (transactional, textual, behavioral).
Data & AI Engineering
  • Design and maintain scalable data pipelines using PySpark and Databricks.
  • Implement and optimize ML workflows for production environments.
  • Collaborate with researchers and product teams to ensure reproducibility and scalability.
Collaboration & Learning
  • Participate in internal seminars and training sessions on econometrics, data modeling, and AI.
  • Contribute to documentation and explainability for internal stakeholders and regulatory compliance.
Required Qualifications & Skills
  • Master’s degree in Economics, Finance, Data Science, Computer Science, AI, or related quantitative field.
  • Solid foundation in econometrics, machine learning, and data analysis.
  • Proficiency in Python and familiarity with big data frameworks (PySpark, Databricks). Understanding of ML pipelines, cloud-based architectures, and data governance.
  • Strong analytical mindset, problem-solving skills, and ability to work in a multidisciplinary team.
  • Good communication skills and willingness to learn advanced modeling and engineering techniques.
Why Join ION

Work at the intersection of finance, data science, and AI.

Access one of the richest financial datasets in Europe.

Collaborate with top universities and global research networks.

Contribute to real-world solutions with impact on financial products.

Be part of a team that values rigor, innovation, and intellectual curiosity.

Important notes

According to the Italian Law (L.68/99) please note that candidates from the disability list will be given priority.

Due to the high volume of applications, only those candidates that meet the required criteria for selection will be contacted.

Please do not apply if you don’t currently have the legal right to work in Italy, or if that right is just about to expire, or if that right has restrictions imposed which would prevent you from undertaking a full-time employment contract.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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