AI/ML Data Scientist

Status
Open
Remote policy
Hybrid
Employment type
Not stated
Salary
Not stated
Tech
awsazuregcppythonhybriddata
Source
landingjobs
First observed
2026-10-06 16:43 UTC
Last seen
2026-10-06 16:43 UTC
Source claims posted
2026-10-06 16:03 UTC
Consecutive misses
0 of 3

What the posting says

At Volkswagen Group Digital Solutions [Portugal] (Permanent), in Lisbon, Portugal

Expires at: 2027-01-05

Remote policy: Partial remote

About VW Group Digital Solutions [Portugal]

Technology-driven trends such as diverse mobility, electrification and connectivity will revolutionize the mobility industry in the next decade. Volkswagen Group, as world leader in the automotive industry, is setting the pace for this revolution.

At Volkswagen Group Digital Solutions [Portugal] we are the go-to team to tackle complex systems and programming challenges. We make sure that our products flow smoothly in all stages of the digital value chain.

Our main areas of focus: vehicle software & operations, mobile online services, IT security, fleet management, sales & after sales, purchasing & logistics and product portfolio management.

Ready to #ExploreNewRoads? Join us!

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.

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

Benefits & Perks

Company benefits

1200€ to equip your home office

Flex allowance: 720€/year (60€ per month x12)

Performance bonus

Health insurance extendable to your household

Wellbeing program extendable to your household

Life insurance

Pension fund

Smartphone & phone data plan

Discounts on VW Group cars and special financing conditions

Cool things you’ll experience in our work environment

Tailored remote-friendly setup for every team's vibe!

Flexible working hours

Multicultural reality with + 30 different nationalities

Pet friendly environment

Boost your career with our internal mobility program, focused on your personal & professional growth

Mix and mingle across teams for idea-sharing and bonding

Quality

Completeness: 65%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #1213178 2026-10-06 16:43 UTC
    Published