
AI Data Science Engineer
inventYOU IT Consulting
full-time
Posted on:
Location Type: Hybrid
Location: Stockholm • Sweden
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About the role
- Develop, train, and evaluate machine learning and AI models
- Work with structured and unstructured data to support analytical and predictive use cases
- Collaborate with engineering, product, and business stakeholders to translate requirements into scalable data solutions
- Contribute to data pipelines, experimentation, and model integration
- Support testing, validation, and continuous improvement of AI solutions
- Adapt to agile, hybrid, or client-specific delivery models
Requirements
- 3–7+ years of experience in Data Science, Machine Learning, or AI
- Strong hands-on experience with Python and SQL
- Solid understanding of machine learning techniques and statistical methods
- Experience working with data pipelines and analytical workflows
- Fluent in English; knowledge of Swedish is a strong advantage
- Valid right to work in Sweden
- You will be a great candidate for us if you…
- Enjoy working in a consulting environment with varying assignments and challenges
- Are comfortable collaborating with cross-functional teams and stakeholders
- Have a problem-solving mindset and a structured way of working
- Are proactive, curious, and eager to stay updated with modern AI technologies
- Can balance hands-on technical work with business-oriented thinking
Benefits
- Opportunity to work on diverse and challenging consulting assignments
- Long-term collaboration with a supportive and people-focused consulting company
- Flexibility in assignment setup (hybrid or on-site, depending on project)
- Professional growth through exposure to modern technologies and industries
- Dedicated support throughout your consulting journey
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningAIPythonSQLdata pipelinesstatistical methodsanalytical workflowsdata solutionsmodel integrationtesting and validation
Soft skills
problem-solvingstructured workingcollaborationproactivitycuriosityadaptabilitycommunicationstakeholder engagementconsulting mindsetcontinuous improvement