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About the Role

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. They act as a Technology Scout, exploring market trends, evaluating emerging technologies, and improving the company’s Data & AI practices.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

Requirements

• 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.
• 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.
• 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.
• Knowledge of REST APIs.
• Ability to develop automation scripts.
• Understanding of system integration principles.
• 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.

Skills

• Data Science
• Machine Learning
• Artificial Intelligence
• Python
• Pandas
• NumPy
• Scikit-learn
• TensorFlow
• PyTorch
• Large Language Models (LLMs)
• Generative AI
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• AI Agents
• Microsoft Copilot
• OpenAI
• Azure AI
• SQL
• Databases
• Analytics Platforms
• Azure
• AWS
• Google Cloud Platform (GCP)
• Data Governance
• Data Quality
• REST APIs
• Automation Scripts
• System Integration
• DevOps
• MLOps

Experience Level

• Apprentice

Salary/Compensations

• EUR 1000-2000

About the Company

• Forvia, a sustainable mobility technology leader, anticipates the future of mobility by developing cutting-edge solutions for smart life on board and sustainable mobility.
• 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.
• Forvia is the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries.
• 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.
• 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.

Equal Opportunity

• We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility.
• 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.
• Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy.