Junior/Mid/Senior Data Scientist (AI/ML)

Quick Facts

• Role: Data Scientist (Junior/Mid/Senior)
• Focus: Scalable AI/ML, generative and agentic AI
• Teams: Agile, cross-functional collaboration
• Work model: Mostly remote with occasional onsite travel for client projects across Europe

Description

Join an AI Center of Excellence to design and implement scalable AI/ML solutions that drive real business impact. You will use cloud capabilities and modern generative/agentic AI technologies, working closely with technical and business stakeholders in agile teams. Different experience levels (junior through senior) are considered.

Responsibilities

• Contribute to cutting-edge AI initiatives using creativity, critical thinking, and analytical skills.
• Design and implement scalable AI/ML solutions using cloud, generative, and agentic AI technologies.
• Work in agile cross-functional teams combining technical, business, and data science expertise.
• Build increased accountability and autonomy as your experience and seniority grow.

Requirements

• Bachelor’s degree in Informatics, Physics, Mathematics, or Quantitative Methods.
• At least 2 years of experience applying data-driven approaches to business scenarios, including deploying advanced analytics and machine learning.
• At least 1 year delivering analytical projects on GCP, Azure, or AWS.
• Proficiency in Python, PySpark, and/or SQL.
• Knowledge of ML/data science: clustering, regression, classification, forecasting; neural networks; hyperparameter optimization.
• Experience with NLP and Large Language Models (LLMs).
• Ability to translate complex business requirements into robust data-driven solutions.
• Continuous learning mindset for emerging AI technologies.
• Professional working proficiency in English.

Benefits

• Permanent employment contract.
• Dedicated People Lead support and a personalized professional development path.
• Coaching sessions and extensive training (soft skills, technical, language; e-learning; Gallup strengths assessment; GenAI training; cloud certification programs).
• Employee Assistance Program (legal, financial, psychological consultations).
• Private medical care and life insurance coverage.
• MyBenefit platform access (including Multisport card).
• Paid employee referral program.
• Quarterly dividends eligibility via Employee Share Purchase Plan (for employees who own company shares).