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Technologies-expected : Python SQL Docker Kubernetes Git Jenkins about-project : At the Data & Applied Intelligence hub, we work locally and globally with over 250 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting-edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics. responsibilities : You will work with business stakeholders to identify the real-world problems and propose advanced data models supporting day-to-day decision making in areas of finance, logistics, marketing and sales. You will be involved in industrialization and scaling of AI and ML solutions following MLOps best practices. You will have an opportunity to expand your skillset by working with data architects, modelers, Dev Ops and visualization experts on day-to-day basis. requirements-expected : Bachelor’s or Master’s in one of the quantitative disciplines: econometrics, computer science, statistics, mathematics, economics or any other related field. Expert knowledge of Python (OOP principles, key libraries, testing, best practices) and SQL. Familiarity with the key machine learning and statistical methods and modelling techniques, e.g. time series, regression, clustering, PCA, decision trees, association rules, neural networks. Experience with Large Language Models, APIs, frameworks, and popular applications (RAG, chatbots, vision, speech, images) Hands-on experience in creating end-to-end data processing pipelines (sourcing, exploration, automation, visualization, etc.) Hands-on experience with at least one of the cloud providers (GCP, AWS, Azure) and/or data analytics platforms (Databricks, Dataiku, Alteryx, etc.) Knowledge of Spark and general familiarity with Big Data concept will be an advantage. Knowledge of additional Dev Ops components will be considered as an advantage: Docker, Kubernetes, Git, Airflow, Jenkins, etc. Willingness to learn and broaden your functional knowledge (finance, logistics, sales, etc.), as well as presentation/communication/consulting skills. offered : Permanent employment contract or B2 B. Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach. A wide training package (soft, technical, and language training offer, access to the e-learning platforms, Gallup test, Gen AI training, possibility of co-financing courses, and certification). Employee Assistance Program - legal, financial, and psycho-logical consultations. Accenture employees eligible for the Employee share purchase plan automatically become eligible for quarterly dividends if they own company shares. Paid employee referral program. Private medical care, life insurance. Access to the My Benefit platform (possibility of using a wide range of products and services, including the Multisport card).