Data Scientist Apprentice

Job Description:

## Forvia, a sustainable mobility technology leader New trends and expectations are reshaping the automotive industry. Inspired by the exciting new challenges associated with this revolution, Forvia anticipates the future of mobility by developing cutting-edge solutions for smart life on board and sustainable mobility. If you're willing to contribute and create value for tomorrow's cleaner and smarter mobility, Forvia is the place to be. At GIT, our vision is to be the global strategic partner for advanced IT technology services with care for customers and the drive to support FORVIA's ambition. Our mission is to provide advanced IT technology services to our customers, and we partner in FORVIA's transformation with excellence through our talented teams. ## Your mission, roles and responsibilities The Data Scientist Apprentice - AI & Digital Innovation contributes to the identification, development, experimentation, and deployment of solutions based on Data Science, Machine Learning, and Artificial Intelligence. Beyond technical development, they act as a true Technology Scout, responsible for exploring market trends, evaluating emerging technologies, and contributing to the continuous improvement of the company's Data & AI practices. They are responsible for technology watch activities, identifying new innovation opportunities, and sharing knowledge across teams to accelerate the adoption of best practices and emerging solutions. Their role also includes systematically documenting discoveries, experiments, and achievements to facilitate knowledge reuse by other developers and contributors within the digital ecosystem. #JT ### Data & AI Use Case Development * Identify and analyze opportunities to leverage Data Science and Artificial Intelligence to address business challenges. * Participate in the design and development of high-value AI use cases. * Develop and test prototypes, demonstrators, and Proofs of Concept (PoCs). * Contribute to the evaluation and improvement of developed models. * Support the industrialization and deployment of validated solutions. * Assist project managers in tracking and monitoring Data & AI initiatives. #### Innovation and Technology Scouting * Conduct continuous technology watch on Data, AI, Generative AI, Machine Learning, Agentic AI, MLOps, and analytics platforms. * Identify emerging trends, products, frameworks, methodologies, and tools. * Test and evaluate innovations to assess their potential value for the organization. * Monitor the evolution of the company's technology platforms and analyze the impact of new features and capabilities. * Provide recommendations on technologies to adopt or experiment with. * Be able to quickly provide a clear view of major market innovations and their applicability within the company's context. #### Systems Integration and Interoperability * Explore new ways to connect the company's tools, platforms, and data sources. * Develop integrations, automations, and connectors to streamline interactions between systems. * Investigate the use of APIs, AI agents, and modern architectures that enhance solution interoperability. * Contribute to the continuous improvement of the digital ecosystem and its operational efficiency. * Identify automation opportunities to improve team productivity. #### Documentation and Knowledge Management * Systematically document developments, experiments, and implemented architectures. * Create technical guides, tutorials, best-practice documentation, and lessons learned. * Contribute to the creation and maintenance of a Data & AI knowledge base. * Support team upskilling by sharing insights and learnings from experiments. * Ensure that completed work can be easily understood, maintained, and reused by other developers. ### Knowledge Sharing and AI Adoption * Simplify and explain concepts related to AI, Data Science, and emerging technologies. * Regularly present experiment results and technology trends. * Contribute to Data & AI awareness and adoption across business and technical teams. * Promote a culture of innovation, continuous learning, and knowledge sharing. * Act as a bridge between technical experts and business users. ## Your profile and competencies to succeed #### Technical skills: Data Science & AI * Proficiency in Python for Data & AI development. * Knowledge of Data Science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar. * Understanding of supervised and unsupervised Machine Learning techniques. * Knowledge of Large Language Models (LLMs) and Generative AI. #### Generative AI & AI Agents * Knowledge of Retrieval-Augmented Generation (RAG) architectures. * Understanding of Prompt Engineering principles and techniques. * Interest in AI agents and autonomous workflows. * Familiarity with Microsoft Copilot, OpenAI, Azure AI, or equivalent ecosystems. #### Data & Cloud * Proficiency in SQL. * Knowledge of databases and analytics platforms. * Familiarity with Azure, AWS, or Google Cloud Platform (GCP). * Understanding of data governance and data quality principles. #### Development & Integration * Knowledge of REST APIs. * Ability to develop automation scripts. * Understanding of system integration principles. * Knowledge of DevOps and MLOps concepts is a plus. #### Soft Skills * Strong technological curiosity. * Passion for innovation and Artificial Intelligence. * Ability to learn quickly in fast-changing and evolving environments. * Excellent analytical and problem-solving skills. * Strong communication and ability to simplify complex concepts for diverse audiences. * Enthusiasm for knowledge sharing. * Self-motivated with a proactive mindset. * Strong attention to detail in documentation and knowledge transfer. * Collaborative mindset and openness to feedback. * High adaptability and flexibility. ## 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. ## Why join us FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry. With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world. In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard. We have committed to reach CO2 Net Zero by no later than 2045. As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere. Salary Range: EUR 1000-2000