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IT Apprentice - Job Opportunity at Faurecia

Nanterre, France
Apprenticeship
Entry-level
Posted: March 25, 2025
On-site
EUR 35,000 - 45,000 annually for apprenticeship role in French automotive sector with potential for significant increase post-apprenticeship

Benefits

Industry-leading sustainability focus with Net-Zero certification
Global career development opportunities across 40+ countries
Extensive training through FORVIA University (22+ hours annually)
Multicultural work environment with strong diversity initiatives
Industry-leading automotive technology exposure

Key Responsibilities

Lead process mining initiatives using Celonis to optimize business operations
Develop and implement machine learning algorithms using Palantir Foundry
Design and adapt SQL data models for enterprise-scale process improvement
Create predictive analytics models and monitoring dashboards
Collaborate with cross-functional teams on digital transformation projects

Requirements

Education

Master's degree in Computer Science or Data Science

Experience

Entry level - Apprenticeship

Required Skills

SQL Python PySpark Data Mining Machine Learning Process Mining SAP (preferred) Fluent English Strong analytical skills Business acumen
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Sauge AI Market Intelligence

Industry Trends

Automotive industry's rapid shift toward digital transformation and data-driven decision making has created high demand for process mining and ML specialists Integration of advanced analytics platforms like Celonis and Palantir indicates a strategic focus on operational excellence through data science Growing emphasis on sustainable mobility technologies is reshaping skill requirements in automotive tech roles

Role Significance

Likely part of a 5-8 person digital transformation team, working alongside senior data scientists and IT specialists
Entry-level position with significant strategic importance due to direct involvement in digital transformation initiatives

Key Projects

Process optimization through Celonis implementation Predictive maintenance models using machine learning SAP data integration and analysis projects Digital transformation initiative support

Success Factors

Strong foundation in both theoretical data science and practical programming skills Ability to bridge technical implementation with business requirements Proactive learning mindset for mastering new platforms like Celonis and Palantir Strong communication skills for cross-functional collaboration

Market Demand

Very high demand for data science specialists in automotive sector, particularly those with process mining and ML expertise

Important Skills

Critical Skills

Process mining expertise due to central role in digital transformation initiative Python/PySpark proficiency for large-scale data processing SQL skills for data model adaptation Machine learning capabilities for predictive modeling

Beneficial Skills

SAP knowledge for better understanding of data sources Business process modeling Data visualization Agile methodology familiarity

Unique Aspects

Rare opportunity to work with both Celonis and Palantir Foundry platforms
Direct involvement in automotive industry's digital transformation
Combination of process mining and machine learning in a single role
Strong sustainability focus with concrete Net-Zero commitments

Career Growth

1-2 years in apprenticeship role with potential for permanent position, typically 2-3 years to advance to mid-level data scientist role

Potential Next Roles

Data Scientist Process Mining Specialist Digital Transformation Consultant Machine Learning Engineer

Company Overview

Faurecia

FORVIA (Faurecia) is a global automotive technology leader focused on sustainable mobility solutions

7th largest global automotive supplier with significant technological innovation capacity
Strong European presence with global operations across 43 countries
Innovation-driven environment with strong emphasis on sustainability and technological advancement
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