Forvia - Data scientist intern

Deadline: As soon as possible

Internships

Companies

Location(s)

  • France
Nanterre HQ

Overview

Forvia, a sustainable mobility technology leader. We pioneer technology for mobility experience that matter to people.

Details

FORVIA comprises the complementary technology and industrial strengths of Faurecia and HELLA. With over 300 industrial sites and 77 R&D centers, 150,000 people, including more than 35,000 engineers across 40+ countries, FORVIA provides a unique and comprehensive approach to the automotive challenges of today and tomorrow. 

Composed of 6 business groups with 24 product lines, and a strong IP portfolio of over 14,000 patents, FORVIA is focused on becoming the preferred innovation and integration partner for OEMS worldwide. 

FORVIA aims to be a change maker committed to foreseeing and making the mobility transformation happen. 

We are looking for a Digital Transformation Apprentice to join our Interiors Global Digital Transformation Team.

Our Interiors activity is looking for a Data Scientist Apprentice to be based in its Nanterre headquarters. This is an exciting opportunity for a student eager to develop expertise in Artificial Intelligence (AI) and Machine Learning (ML) by participating in real-world automotive AI deployment initiatives. As a Data Scientist Apprentice, you will help integrate AI solutions into various business processes, enabling data-driven automation, decision-making, and enhanced product development.

Your mission, roles and responsibilities

You will be responsible for the following missions described below:

  1. AI Model Development and Deployment:
    1. Assist in building and training machine learning models tailored to specific business problems (e.g., predictive maintenance, quality control, or autonomous systems).
    2. Collaborate in deploying AI models into production environments, ensuring their scalability and reliability.
    3. Work on automating AI pipelines and maintaining model performance over time.
  2. Data Processing for AI:
    1. Collect, preprocess, and clean large datasets from diverse sources for use in AI models.
    2. Identify patterns, trends, and anomalies in the data to drive model improvements.
    3. Ensure data quality and alignment with AI use cases, adhering to privacy and security standards.  
  3. AI Project Collaboration:
    1. Work closely with AI engineers, data scientists, and other stakeholders to ensure successful project outcomes.
    2. Contribute to defining AI project objectives, scope, and deliverables.
    3. Collaborate on multi-functional teams to integrate AI into broader business workflows.
  4. Performance Monitoring and Optimization
    1. Monitor the performance of deployed AI models, using metrics and tools to measure their effectiveness.
    2. Assist in fine-tuning models and algorithms to improve accuracy and efficiency.
    3. Help identify potential areas of AI deployment across the organization.
  5. Research and Innovation
    1. Stay up-to-date with the latest advancements in AI and machine learning technologies.
    2. Contribute to innovation projects and brainstorming sessions for future AI applications within Forvia.
    3. Participate in AI/ML-focused events, competitions, or hackathons to enhance your technical skills.

Opportunity is About


Eligibility

Candidates should be from:


Description of Ideal Candidate

Qualifications

The ideal candidate will have/be:

  • Currently pursuing a degree in Data Science, AI, Machine Learning, or a related field.
  • Strong understanding of machine learning algorithms and model development.
  • Experience or familiarity with Python and AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Knowledge of data preprocessing techniques and database management (e.g., SQL, NoSQL).
  • Good understanding of cloud platforms (e.g., AWS, Azure) and AI deployment tools.
  • Strong analytical, problem-solving, and debugging skills.
  • Ability to work collaboratively in a dynamic, cross-functional team environment.
  • Passionate about AI and its potential to drive innovation in the automotive industry.

Dates

Deadline: As soon as possible


Cost/funding for participants

What we can do for you

  • At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies.  
  • We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development. 
  • We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values. Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers. Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count. 
  • We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility.  Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world) 
  • We offer a multicultural environment that values diversity and international collaboration. We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans. 
  • Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy. 
+ More Info / Application Save Opportunity Un-save Opportunity


find-dream
Search from 1755 opportunities in 164 countries

Internships, scholarships, student conferences and competitions.