Data & AI Transformation Consultant (Early Career) | Prague - - 17421

Obecné informace

Pozice

Data & AI Transformation Consultant (Early Career) | Prague

Pracovní poměr

Plný pracovní úvazek

Město

Praha

Země

Česká republika

Oddělení

Consulting

Tým

Strategy, Analytics and M&A

Oblast zájmu

Cloud, Data & Analytics

Způsob práce

Hybridní model

Popis a požadavky

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 Consultant in our AI & Data team, you’ll bridge the gap between technical capabilities and business outcomes. You’ll work on strategic AI initiatives, define operating models, and guide clients through the practical use of AI technologies.

🔎What we’re looking for:

We're seeking early-career professionals with 1- 3 years of hands-on experience in data science, analytics, or machine learning projects that create real business impact.
Ability to understand business problems and needs of the clients - use-case first, technology second approach
Solid Python skills, plus familiarity with cloud platforms (Azure, GCP, or AWS)
Ability to connect technical solutions with business needs and communicate both (tech + business) ways effectively
Strong English communication skills
EU work permit and willingness to travel within the region (the role is located in Prague)

Nice to have:

A proactive, team-oriented mindset and genuine curiosity about how AI creates business value
Experience in consulting or client-facing roles.
Exposure to the AI/ML lifecycle – from business problem definition to model deployment
Curiosity and interest in Generative AI and its real-world applications
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.
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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