Data Science & AI
As a Consultant
Our Data Science & AI consultants translate raw, structured and unstructured data into insights and intelligent products.From predictive models to LLM-driven digital assistants, we deliver end-to-end solutions that are scalable, accountable and secure.We combine deep industry expertise with a pragmatic, evidence-based approach.This is how we help organizations innovate faster, reduce costs and realize new growth opportunities.
Our Mission: Closing the gap between data, technology and people – quickly, responsibly and with an eye to the future
Frameworks & Certifications
Our consultants certify in exactly the tools and platforms your project requires. Many already have certifications in:
- Python (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow)
- Microsoft Azure certifications (e.g. Azure Data Scientist Associate); additional AWS or GCP certification upon request
- Databricks Lakehouse & MLflow
- LangChain & LLM-Ops tooling (Weights & Biases, PromptLayer)
- Ethical-AI & GDPR-by-design.
Our approach
- Discover & Define – AI maturity assessment, use-case prioritization and business-case validation.
- Build & Validate – Iteratively develop models according to CRISP-DM or TDSP, evaluate with stakeholders and establish measurable KPIs.
- Deploy & Scale. – Deploy via CI/CD & MLOps principles (Azure ML, Databricks), including monitoring and retraining.
- Adopt & Grow – Change management, training and governance to ensure sustainable value.
Data Science & AI
Data is only valuable when it is transformed into actionable insights and actions.Our knowledge center has deep expertise in statistical modeling, machine learning and generative AI; helping clients make real-time decisions, automate processes and create new products.We set up complete pipelines – from data ingestion and feature engineering to modeling, MLOps and monitoring – so that models remain not only accurate, but also robust and maintainable.
Generative AI and large-language models (LLMs) also open doors to hyper-personalization, content creation and autonomous agents.Our engineers build secure, ethical solutions that integrate seamlessly into existing IT landscapes and meet privacy and compliance requirements.With a strong focus on Responsible AI, we ensure transparency, fairness and explainability
Generative AI and large-language models (LLMs) also open doors to hyper-personalization, content creation and autonomous agents.Our engineers build secure, ethical solutions that integrate seamlessly into existing IT landscapes and meet privacy and compliance requirements.With a strong focus on Responsible AI, we ensure transparency, fairness and explainability
Our Mission: Closing the gap between data, technology and people – quickly, responsibly and with an eye to the future
Our approach
- Discover & Define – AI maturity assessment, use-case prioritization and business-case validation.
- Build & Validate – Iteratively develop models according to CRISP-DM or TDSP, evaluate with stakeholders and establish measurable KPIs.
- Deploy & Scale. – Deploy via CI/CD & MLOps principles (Azure ML, Databricks), including monitoring and retraining.
- Adopt & Grow – Change management, training and governance to ensure sustainable value.
Roll
Our experts work in the following roles:
- Data Scientist
- Machine Learning Engineer
- AI Engineer – GenAI, RAG & Agents
Vacancies
Cases
Some of the customer cases we have realized using our interim data specialists.
