Data Scientist AI
Salesconsulting
| Company | Salesconsulting |
| Category | Data & Analytics |
| Location | — |
| Remote | — |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 2 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (teamtailor) |
Description
This position focuses on developing advanced analytics and AI solutions that create measurable business impact across the organization. The person will work on real-world industrial use cases, especially in areas such as manufacturing, engineering and operations, translating business challenges into data-driven solutions and models that support decision-making, process optimization and new capabilities. Role description: • Develop and implement data science and AI models for industrial use cases • Translate business problems into analytical approaches and practical solutions • Perform data exploration, data preparation and feature engineering • Work closely with Data Engineers to ensure data availability and usability • Collaborate with business stakeholders to understand needs and ensure business relevance • Support the deployment of models into production environments • Monitor and improve model performance over time • Contribute to the development of scalable AI capabilities and best practices • Communicate results, insights and recommendations in a clear and business-oriented way • Support decision-making, process optimization and the development of new business capabilities through data and AI solutions Qualifications: • Degree in Data Science, Mathematics, Computer Science, Engineering or a related field • Several years of experience in data science, machine learning or applied analytics • Strong programming skills, especially Python and SQL • Experience with machine learning and statistical modeling • Familiarity with industrial or operational data is considered a strong advantage • Experience with model deployment and MLOps concepts is beneficial • Strong analytical and problem-solving skills • Ability to work effectively in cross-functional teams • Strong communication skills and good business understanding