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Wallet icon Coin icon Rate 6 800 € - 7 800 € / month info
Timer icon Form of cooperation Full-time / 90% Remote
Briefcase icon Sector Banking
Location icon Location Bratislava

info The reward is calculated upon delivery of 20 MD per month (1MD=8h)

Project duration 12-36 months with the possibility of extension
Period of cooperation 01.08.2025 - 31.08.2026
Start date 01.08.2025 - 30. 09. 2025 or by agreement
Technology
  • AWS Amazon Web Services
  • MongoDB
  • SQL
  • Cloud Computing
  • Apache Kafka
  • Apache Spark
  • Kubernetes
  • Python
  • Scala
  • Docker
  • Terraform
  • Java
  • Keboola
Languages
  • English flag English - active, B2/C1/C2
  • Slovak or Czech flag Slovak or Czech - native

Project description

  • Cooperation in analyzing large data sets in the context of banking processes and creating analytical solutions that support business decisions and strategic development
    • A high level of independence is expected in defining quality standards, designing methodologies, and using the latest technologies and approaches in the field of AI and ML
  • Cooperation in a team of experts with access to the most modern technologies such as Keboola, cloud environments (AWS, Azure) and open-source tools for data processing
    • The ability to connect the technical and business aspects of the solution plays a significant role
  • Main responsibilities:
    • Proactive analysis and interpretation of large data in a banking environment
    • Creating analytical support for product development and predicting customer behavior
    • Application of statistical modeling, quantitative methodologies, AI and ML
    • Defining methodical standards and the quality of data analysis
    • Designing new approaches and methodologies for working with data
    • Collaboration with experts in business architecture, IT and data environment
  • Possible long-term cooperation in an international agile team (SCRUM)
     
  • Cooperation in a hybrid mode, mostly REMOTE / ON-SITE [ Bratislava ] according to agreement / project needs

Project requirements

  • More than 6 years of experience in project management in the field of statistical methods in the banking / financial sector
  • More than 3 years of experience in project management in the field of Data Science
     
  • knowledge:
    • Analytical and data technologies (ETL, databases, data processing)
      • Keboola – a modern platform for data processing and building data pipelines
      • SQL (Oracle) – working with structured data and relational databases
      • MongoDB – NoSQL database suitable for unstructured or semi-structured data
      • ODS (Operational Data Store) – daily analysis of D-1 data in a banking environment
      • Apache Kafka – data streaming in real time, suitable for event-driven architecture and the integration of data flows
    • Programming and scripting:
      • Java – supporting language, used in legacy systems and connections to core banking systems
      • Scala – used mainly in the Apache Spark environment for big data processing
      • Python – the basis for statistical modeling, machine learning and data analytics
    • Cloud platforms:
      • Amazon Web Services (AWS) – scalable computing environment for AI/ML solutions
      • Microsoft Azure – mainly for integrations, deployment and connection to MS Dynamics
    • Infrastructure and DevOps (MLOps):
      • Docker – containerization of analytical and AI solutions
      • Kubernetes – container orchestration, scaling and deployment management
      • Terraform – infrastructure as code (IaC), environment automation in the cloud
    • Statistics, Machine Learning and AI:
      • Statistical modeling and quantitative methodology – creating predictive models and analytical tools
      • Machine Learning & Artificial Intelligence – development, testing and optimization of customer behavior and banking process models
  • Bachelor's or master's degree in computer science, data science, information technology or related fields
  • Strong analytical skills to interpret large datasets and uncover useful insights based on data
     
  • Interest in long-term cooperation (12+ months)
  • Active knowledge of English (written and spoken)
     
  • Strong organizational, negotiation and analytical skills
  • Open to new ideas and visions
  • Ability to respond flexibly and adapt to change
  • Proactive approach
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