Public Sector AI & NLP Data Scientist

Uni Systems; Ispra; On-site; EUR 55,000 - 75,000; Full time

Job summary

Uni Systems invites a talented Machine Learning Engineer to join the UniQue Ispra team and work closely with public sector clients. You will develop advanced data mining and ML solutions, architect system components, and maintain client relationships while delivering high-value analytics and insights.

Ideal candidates will have strong ML/NLP background, experience with Python, SQL/NoSQL databases, data visualization, and BI tools, plus knowledge of cloud/DevOps practices.

Qualifications

• Master degree in a relevant field or equivalent professional experience.
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Responsibilities

• Analyze user needs and requirements for data mining and ML solutions.
• Identify, propose and implement architecture supporting user requirements.
• Architect final system solution and contribute to architecture quality & security plans.
• Develop data models and data pipelines; perform scripting and programming.
• Collaborate with project teams; document tasks and cross-project dependencies.
• Prepare analytical summaries and reports in English with clear presentation of findings.

Skills

Python

JavaScript

SQL

NoSQL

Pandas

NumPy

spaCy

scikit-learn

Sentence Transformers

LLMs

NLP

Data Visualization

R

SAS

SPSS

STATA

Tableau

SAP

BusinessObjects

Talend Open Studio

MySQL

PostgreSQL

Microsoft SQL Server

MongoDB

Elasticsearch

Express.js

Node.js

.NET/C#

Spring Boot/Java

Unix

GitLab

OpenShift

Education

Master Degree

Tools

HTML5

CSS3

APIs

CI/CD

DevOps

Docker

Kubernetes

Job description

Uni Systems invites a talented Machine Learning Engineer to join the UniQue Ispra team and work closely with public sector clients. You will develop advanced data mining and ML solutions, architect system components, and maintain client relationships while delivering high-value analytics and insights.

Ideal candidates will have strong ML/NLP background, experience with Python, SQL/NoSQL databases, data visualization, and BI tools, plus knowledge of cloud/DevOps practices.