AI/ML Data Scientist

Volkswagen Group Digital Solutions [Portugal]; Porto Salvo; Hybrid; EUR 55,000 - 85,000; Full time

Job summary

Volkswagen Group Digital Solutions Portugal is seeking an experienced Data Scientist to design, develop and deploy AI/ML models across business domains. You will translate requirements from cross-functional teams into scalable solutions and iterate on model performance.

You will preprocess large datasets, experiment with techniques, ensure explainability and regulatory compliance, and mentor junior colleagues in a collaborative, learning-driven environment.

Qualifications

• Degree in computer science, software engineering, or comparable work experience.
• Proven experience as Data Scientist or related role.
• Hands-on experience building and deploying AI models in production.

Responsibilities

• Collaborate with cross-functional teams to translate business requirements into AI/ML solutions.
• Design, develop and deploy AI models for classification, regression, clustering, and recommendations.
• Preprocess and analyze large datasets to extract features for model training.
• Experiment with ML techniques to improve performance and accuracy.
• Ensure models are explainable, auditable, and compliant with data privacy and regulatory requirements.
• Mentor junior team members and foster a culture of learning.

Skills

Python

Machine Learning

Data Analysis

Model Deployment

Experimentation

Explainability

English communication

Education

Degree in Computer Science or Software Engineering

Tools

TensorFlow

PyTorch

scikit-learn

AWS

GCP

Azure

Job description

• Collaborating with cross-functional teams to understand business requirements and translate them into AI/ML solutions
• Designing, developing and deploying AI models and algorithms for tasks such as classification, regression, clustering, and recommendation
• Preprocess and analyze large datasets to extract meaningful features and insights for model training
• Experiment with different machine learning techniques and algorithms to improve model performance and accuracy
• Implement and optimize AI/ML models for scalability, efficiency, and real-time inference
• Conducting rigorous testing and validation of AI models to ensure robustness, reliability, and generalization
• Staying updated on the latest advancements in AI/ML research, frameworks, and tools, and evaluate their applicability to our projects
• Collaborate closely with data engineers, product owners, business stakeholders, and external partners.
• Ensure models are explainable, auditable, and aligned with data privacy and regulatory requirements.
• Mentor and support junior team members, fostering a culture of continuous learning and experimentation.

You’ll be focused in

• Collaborating with cross-functional teams to understand business requirements and translate them into AI/ML solutions
• Designing, developing and deploying AI models and algorithms for tasks such as classification, regression, clustering, and recommendation
• Preprocess and analyze large datasets to extract meaningful features and insights for model training
• Experiment with different machine learning techniques and algorithms to improve model performance and accuracy
• Implement and optimize AI/ML models for scalability, efficiency, and real-time inference
• Conducting rigorous testing and validation of AI models to ensure robustness, reliability, and generalization
• Staying updated on the latest advancements in AI/ML research, frameworks, and tools, and evaluate their applicability to our projects
• Collaborate closely with data engineers, product owners, business stakeholders, and external partners.
• Ensure models are explainable, auditable, and aligned with data privacy and regulatory requirements.
• Mentor and support junior team members, fostering a culture of continuous learning and experimentation.

In order to succeed, you’ll need

• Degree in computer science, software engineering, or comparable work experience
• Proven experience working as a Data Scientist or related role
• Hands‑on experience in building and deploying AI models and generative AI models in production environments
• Experience in programming languages commonly used in AI/ML development, such as Python
• Strong experience in machine learning algorithms, techniques, and frameworks, such as TensorFlow, PyTorch, scikit‑learn
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and related AI/ML services including generative AI technologies
• Strong analytical mindset, structured problem‑solving skills, and a product‑thinking approach.
• Great communication skills in English, both written and spoken

About The Product

Our Sales Spoke team is driven by a data‑first culture, leveraging both advanced analytics and AI to empower our team and customers to create additional value. We enable our business units to explore their untapped data & analytics potential and provide our customers with value‑adding advanced analytics solutions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.