Általános információ

Pozíció
Data Science Consultant for transformation AI/ML projects
Munka típusa
Teljes munkaidős pozíció
Város
Prága
Ország
Cseh Köztársaság
Üzletág
Consulting
Csapat
Strategy, Analytics and M&A
Érdeklődési terület
Cloud, Data & Analytics
Munkavégzés
Hibrid (irodai és otthoni munkavégzés)

Pozícióleírás és elvárások

Who we are looking for
🚀 We help leading enterprises in Czechia, Poland, and across Central Europe unlock real business value from AI and ML. Our clients aren’t looking for experiments—they want results. 
As a Data Science Consultant in our AI & Data team, you’ll bridge the gap between technical capabilities and business outcomes.


🔎What we’re looking for: 
  • We're seeking early-career professionals with 1-2 years of hands-on experience in data science, analytics, or machine learning projects that create real business impact.
  • Solid Python skills, plus familiarity with cloud platforms (Azure, GCP, or AWS)
  • Ability to connect technical solutions with business needs and communicate both ways effectively
  • Exposure to the AI/ML lifecycle – from business problem definition to model deployment
  • Curiosity and interest in Generative AI and its real-world applications
  • Strong English communication skills
  • EU work permit and willingness to travel within the region

Nice to have:
  • Experience in consulting or client-facing roles.
  • Exposure to MLOps, model governance, or AI risk frameworks.
  • Understanding of enterprise architecture and data platforms
Your future role
  • Consult on AI strategy: Help clients define what AI should deliver for their business and how to organize around it.
  • Deliver value-focused data science: Build and deploy ML models that solve real business problems, not just technical challenges.
  • Shape operating models: Design how AI teams should work, collaborate, and scale within enterprise environments.
  • Support governance and risk: Advise on responsible AI practices, model validation, and compliance.
  • Collaborate across disciplines: Work with business stakeholders, data engineers, and architects to ensure solutions are practical and scalable.
  • Stay pragmatic: Simplify complex concepts to drive adoption and impact.
What we offer
You can look forward to:
  • A performance-based annual bonus to recognize your contribution
  • A hybrid way of working
  • A flexible benefits program to support your lifestyle, health, and personal interests
  • Additional paid time off and flexible sick leave options
  • Financial support during important life events, such as illness or parental leave
  • Comprehensive insurance coverage for both business and personal travel
  • Company-provided equipment and tools to help you succeed
  • Opportunities for professional growth through external and internal training
  • Access to sports, wellness, and cultural activities, plus modern facilities at work
  • Regular team events and a friendly, collaborative environment
Selection process
  • Introductory Call with HR - A short conversation to understand your background, motivation, and expectations.
  • Interview with Hiring Manager – (60 mins) A deeper discussion about your experience, business thinking, and how you approach AI challenges. Includes a short business case discussion. There will be time for your questions.
  • Technical Homework & Review - You’ll receive a data science task to complete at home. We’ll review your solution together and discuss your approach.
Offer Discussion - If we’re aligned, we’ll move quickly to make you an offer and welcome you to the team. 

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