Design, develop, and implement advanced analytics and AI use cases end-to-end, tailored to client needs.
Perform in-depth data analyses (descriptive, diagnostic, predictive) on large datasets and support clients with clear, impactful insights and recommendations.
Build, train, and validate machine learning models and AI solutions using state-of-the-art tools and frameworks.
Interpret and visualize analytical results. Present complex findings clearly to both technical and non-technical client stakeholders.
Work closely with clients to understand their business challenges and data landscape. Advise on analytics strategy, data management best practices, and opportunities to leverage emerging technologies.
Coordinate project tasks among team members, ensuring timely delivery of high-quality results and mentoring junior analysts.

Master’s degree (or equivalent) in Data Science, Computer Science, Mathematics, Engineering, Statistics, or a related field (A Bachelor’s degree combined with strong relevant experience will also be considered).
Proven ability to extract, prepare, and analyze data from diverse sources (structured and unstructured).
Strong proficiency in SQL and data querying; familiarity with data modeling and database concepts (NoSQL knowledge is a plus).
Proficiency in analytics programming, especially Python (and/or R). Hands-on experience with data science libraries and frameworks (e.g., pandas, scikit-learn, TensorFlow, Keras, PyTorch, Spark MLlib) and data visualization tools (e.g., Power BI, Tableau).
Solid foundation in statistics and mathematics to develop, validate, and interpret complex analytical models.
Experience building machine learning models (supervised and unsupervised) and knowledge of the end-to-end model lifecycle from development to deployment.
Excellent communication and presentation skills. Ability to convey technical concepts and insights in a clear, compelling way to business stakeholders.
Experience in a client-facing role or consulting environment, demonstrating a client-focused approach and the ability to adapt solutions to different business contexts.
Several years (typically 3–5+ years) of hands-on experience in data analytics, data science, or a related field.
EU citizenship or Czech Permanent Residency and already living in the Czech Republic.

Attractive compensation package: fixed salary with yearly evaluation and performance-related bonus, seniority, referral bonus, and peer-to-peer recognition.
Multisport card
Private medical subscription at Canadian Medical
Prague transportation benefit (Lítačka)
Pension insurance contribution
Sick days
Hybrid working model
Seniority vacation days
Continuous Learning & Growth: learning-oriented culture with customized training paths, support for professional certifications.
Inclusive Team Culture: collaborative, inclusive environment that values diversity, knowledge-sharing, and entrepreneurial spirit.

Data Scientist, Senior Data Analyst – Data Analytics, AI

Key skills