Python developer állások XIV. kerületben (adminisztráció, asszisztens, irodai munka)

• Co-design and implement QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques
• Application of AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets

• Design and build artificial intelligence and machine learning solutions for enterprise clients
• Assess client needs and data for AI/ML solutions
• Select and customize models including Deep Learning, Generative AI, and Large Language Models

• Dashboard development for sustainability data visualization
• Data integration from various sources for comprehensive reports
• Client reporting collaboration with sustainability team
• Data analysis to identify trends and insights for sustainability initiatives

adatbázis lekérdezések elkészítése, adathibák feltárása és javítása üzleti igényeknek megfelelő magas szintű figyelem a részletekre az adatinkonzisztenciák, hibák és anomáliák azonosításában és javításában projektjellegű és rendszeres adattisztítási feladatok önálló elvégzése adattisztítási...

• Development, governance, deployment, and enhancement of liquidity analytics models and supporting infrastructure across asset classes
• Driving the analytics product lifecycle including prioritizing initiatives, influencing roadmap decisions, and ensuring successful deployment into production

• Client-facing communication
• Participation in pre-sales discussions
• Collaboration with sales and customer success teams
• Communication with clients' technical teams
• Design and configuration of data labeling and processing pipelines using Python-based tools

• Definition and improvement of metrics reflecting product performance, service quality, and operational efficiency
• Analysis of client behavior and service processes to identify trends, bottlenecks, inefficiencies, and drivers of performance

• Development, testing, and maintenance of data pipelines to extract, transform, and load (ETL) data from various sources
• Writing high-quality, maintainable Python code
• Participation in code reviews
• Participation in technical discussions for tool selection and architectural decisions

• Develop and enhance pricing models for motor, home and other retail insurance products
• Build predictive and statistical models to support pricing and portfolio steering
• Conduct competitiveness analyses, elasticity studies and profitability assessments

• Consult requestor regarding new demands and transform them into technical requirements for the SAP BW Dev team
• Consult SAP BW users on how to optimize SAP BW usage
• End user documentation in YAM / myWiki
• Support PM/PO SAP BW in PI Planning and execution during sprints

• Measuring performance of multi-channel patient recruitment campaigns
• Optimizing multi-channel patient recruitment campaigns
• Forecasting performance of multi-channel patient recruitment campaigns
• Translating recruitment data into actionable insights
• Accelerating enrollment
• Reducing site burden

• Build and maintain dataset ingestion, cleaning, and versioning pipelines
• Design and operate labeling workflows including quality control and inter-annotator agreement tracking
• Own dataset testing including coverage analysis, class balance, leakage detection, and dataset documentation

• Planning, coordination, and delivery of signal detection and product safety scientist activities
• Mentoring of more junior colleagues
• Development of processes, tools, and systems
• Serving as lead on smaller FSP-type projects
• Supporting strategies for safety data generation, assessment, and communications

• Creation, analysis and maintenance of program BOMs, price report changes, easy pickings opportunities and cost analysis for the procurement function
• Maintenance of reports updated monthly and quarterly with highlights of trends to management for proper decision making

• Design and implement enterprise-scale data pipelines and advanced analytics dashboards
• Develop and optimize data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms

• Definition and improvement of metrics representing product performance and operations efficiency
• Data collection from multiple sources ensuring accuracy and completeness
• Data cleaning, organization, and transformation into usable formats for analysis

• Complex financial analysis utilizing Microsoft Excel, Python, Alteryx, KNIME, Power BI & Tableau
• Participation in significant international transaction projects
• Collection, research and analysis of data related to the client’s business operations