O pozici
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values -driven culture, international careers and the chance to shape the future of experience.
The opportunity
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
The work we do and the innovation we drive
Our values of share, care a nd dare
A workplace culture that fosters creativity, diversity and autonomy
Our borderless, global framework, which enables seamless collaboration
Co budeš dělat
- Advanced Analytics & Machine Learning
Develop and deploy machine learning models across use cases (forecasting, optimization, recommendation systems)
Apply statistical, predictive, and prescriptive modeling techniques to solve business problems
Build reusable modeling frameworks that can scale across multiple domains
- Causal Inference & Decision Intelligence
Design and implement causal inference methods (e.g., uplift modeling, experiments, quasi-experimental methods)
Translate observational and experimental data into actionable business insights
Embed causal reasoning into decision systems that guide actions (e.g., optimization, prioritization, trade-offs)
- Generative AI & Intelligent Systems
Integrate GenAI capabilities (e.g., LLMs, RAG pipelines, agent-based systems) into data science workflows
Contribute to the development of intelligent agents and AI-assisted decision-making systems
Combine structured data models with unstructured data and GenAI outputs
- Forecasting & Optimization
Build forecasting models (time-series, probabilistic, causal) to support planning and operations
Develop optimization approaches for resource allocation, scheduling, or campaign performance
Ensure models are explainable and actionable in business contexts
- Production & Platform Integration
Build and maintain production-grade data science solutions
Collaborate with engineering teams to integrate models into scalable APIs and platforms
Ensure robustness, monitoring, and lifecycle management of deployed models
- Cross-Functional Collaboration
Partner with data engineering, analytics, and product teams to ensure data readiness and solution adoption
Review and validate modeling approaches across teams (forecasting, experimentation, ML)
Contribute to best practices in AI, ML, and data science within the organization
Koho hledáme
- Data Science & Statistical Expertise
Strong experience in machine learning, statistics, and applied data science
Experience with causal inference, experimentation, or decision science methodologies
Solid understanding of forecasting, optimization, or analytical modeling techniques
- Technical Skills
Strong programming skills in Python and SQL
Experience building and deploying production-ready data science or ML systems
Familiarity with model lifecycle management (training, deployment, monitoring)
- Cloud & Platform Experience (Key Requirement)
Hands-on experience with at least one major cloud platform:
Azure (preferred), AWS, or GCP
Experience working with modern data and AI platforms (e.g., Azure ML / Azure AI, Databricks, or similar ecosystems)
Benefity
- We are proud of:
The work we do and the innovation we drive
Our values of share, care a nd dare
A workplace culture that fosters creativity, diversity and autonomy
Our borderless, global framework, which enables seamless collaboration
- The opportunity
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
- important thing in a job? Cool colleagues with whom you spent most of the time during the week. We have a lot of them!
Honest feedback
Honesty, openness and respect are among our core values. We encourage an open feedback culture in order to build trust and grow together.
