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Data Scientist (Junior/Mid-Level)

🧠 Do you have strong foundations in statistics and data science and want to apply them to real-world business challenges? Would you enjoy working directly with clients and seeing the impact of your models and insights? If so – we’d love to hear from you

🧩 About the Role

We’re looking for a motivated Data Scientist with a consulting mindset – someone who enjoys working with both people and data. You’ll take part in projects focused on solving concrete client problems through analysis, modeling, and interpretation.

🛠️ What You’ll Do:

  • Analyze real client datasets and model business processes
  • Translate data into actionable insights and recommendations
  • Build models and perform data analysis in Python (Jupyter, pandas, scikit-learn, etc.)
  • Work on projects typically hosted in Azure, using git for version control
  • Participate in client meetings and present your findings in a clear and structured way Design and implement machine learning models for real-world problems
  • Work on application-level integration of AI components – from prototypes to production
  • Maintain and evolve codebases related to data processing, modeling, and deployment
  • Deploy models and services to cloud environments (e.g. Azure)
  • Collaborate with other developers, data scientists, and domain experts in end-to-end solution design

✅ What We’re Looking For:

  • Solid academic or practical background in statisticsdata science, or machine learning
  • Strong command of Python and data science libraries
  • Ability to think critically and explain complex ideas clearly
  • Curiosity, independence, and a desire to learn and grow
  • Experience with git and Azure is a plus, but not mandatory Strong foundation in statisticsmachine learning, and AI architectures

🌟 What We Offer:

  • Meaningful projects with real-world impact and direct collaboration with clients
  • Mentorship and growth opportunities within a skilled and supportive team
  • Fixed working hours in a professional, collaborative environment
  • A friendly team that values knowledge, initiative, and clear communication
  • Competitive salary
  • Personal onboarding and mentoring process
  • Continuous learning and constant training
  • Personal freedom to solve complex problems
  • Friendly work environment
  • Flexible working hours
  • Extra vacation days
  • Extra health insurance
  • Extra dental insurance
  • Extra accident insurance
  • Multi-sport card
  • Regular team events

Join Us