Data Scientist focusing on building AI-powered tools used by teams across the bank globally. Leveraging ML models for efficiency, decision-making, and collaboration.
Responsibilities
Join a global initiative focused on building an AI-powered tool used by teams across the bank worldwide.
Leverage modern technologies, including large language models (LLMs), to streamline everyday work, automate repetitive tasks, and support better decision-making.
Develop and deploy machine learning models using Python (Pandas, Scikit-learn, TensorFlow).
Build data pipelines and automate workflows.
Implement model monitoring, versioning, and CI/CD for ML.
Analyze and visualize data for actionable insights.
Collaborate with engineering teams to productionize models.
Requirements
Strong experience in Python and relevant ML libraries, including Pandas, Scikit-learn, and TensorFlow.
Proven ability to develop, train, and deploy machine learning models.
Experience in building data pipelines and automating workflows.
Knowledge of model monitoring, versioning, and CI/CD practices for ML projects.
Familiarity with cloud-based ML solutions, preferably AWS.
Strong skills in data analysis and visualization to extract actionable insights.
Ability to collaborate with engineering teams to productionize ML models.
Excellent problem-solving skills and a results-oriented mindset.
Benefits
Benefit package that can be tailored to your personal needs (private medical coverage, sport & recreation package, lunch subsidy, life insurance, etc.)
On-line training and certifications fit for career path
Access to e-learning platform Mindgram - a holistic mental health and wellbeing platform
Work From Anywhere (WFA) - the temporary option to work remotely outside of Poland for up to 140 days per year (including Italy, Spain, the UK, Germany, Portugal, and Bulgaria)
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