Data Analyst – GenAI Coding Assistant @ Mindbox S.A.
(práce v Polsku)

Data Analyst – GenAI Coding Assistant @ Mindbox S.A.

Polsko

• Experience in developing knowledge capture, knowledge transfer, communities of interest, processes and content.
• Proven ability to deliver globally in matrix-based organisations
• Proven experience in data analytics, particularly in a software development context
• Good understanding of SDLC, Deployment and DORA metrics and their relevance to developer productivity
• Experience of translating data analysis into practical business or operational insights
• Familiarity with GenAI technologies, in particular coding assistants such as GitHub Copilot
• Experience in data analysis and processing using Python/R/SQL/Jupyter notebook or similar toolkits.
• In-depth understanding of data modelling
• Knowledge of machine learning libraries, e.g. Scikit-learn/XGboost/Keras/Pytorch

Details:
Location: Kraków
Remote working: hybdryda, 6x in the office per month
Form of cooperation: contract, b2b with Mindbox
Rate: 1300-1500 pln/ MD

For our client in the banking industry, I am looking for AI-based data analysis specialists. A core part of the clients portfolio is GenAI coding assistants (GenAI CA), of which GitHub Copilot (GHCP) was the first production-validated GenA. Today, 95% of developers use it for more efficient programming and coding. It is by far the largest use case for GenAI in bank structures. Its scale and speed of implementation is such that the bank is now the largest global GHCP account in terms of engaged users.

The role is to take the initial PoC work and follow it up to mature it, operationalise it and create practical insights so that we know the use cases and technical patterns that benefit most / least from GenAI CA at POD and individual level, while looking for additional opportunities in parallel.

,[Review existing GenAI CA PoC productivity analysis and improve and develop future roadmap and delivery strategy., Identify specific use cases and technical patterns where GenAI CA has the greatest impact., Identify key challenges, obstacles and accelerators, best practices for the adoption of GenAI CAs , Contribute to the data science strategy for measuring the benefits of GenAI CAs with the GenAI CAs programme manager., Understanding of SDLC / DEPL / DORA HSBC metrics. Collection, analysis and interpretation of data., Work closely with HSBC data analysts and researchers to refine analytical models and methodologies., Assist in defining the delivery strategy and phasing plan, clear objectives, scope and ECONOMY., Work with the programme manager to:, Explain the actionable insights to senior stakeholders, From the insights, working with the delivery teams you will give key inputs to develop and implement sub-projects / actions that will improve the benefits that developers can achieve using GenAI] Requirements: SDLC, Data analysis, GitHub, Python, R, SQL, Machine learning, scikit-learn, Keras, XGboost, PyTorch Additionally: Sport subscription, Training budget, Private healthcare, International projects.

Kategorie

artificialIntelligence

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