AI/ML Data Scientist
- Status
- Open
- Remote policy
- Hybrid
- Employment type
- Not stated
- Salary
- Not stated
- 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
- x Salary range stated weight 35%
- + Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
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#1213178 2026-10-06 16:43 UTCPublished