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

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

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...

• 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

• Gather and translate business requirements into data-driven solutions
• Create and maintain dashboards, reports, and semantic data models
• Ensure data quality, consistency, and usability across reporting solutions

• 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

• Building robust automation processes for seamless data integration
• Creating and managing complex data workflows using Apache Airflow
• Streamlining data-related processes and automating data flows with MS Power Automate
• Designing, implementing, and maintaining data integration solutions

• 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

• 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

• 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 including AI-enabled analytics tools
• Develop and optimize data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms

• Experience in different data science topics
• Independent delivery of data science projects with e2e product-oriented mindset
• Direct engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

• Design, develop, and implement complex and scalable data solutions on the AWS cloud platform
• Design, build, and optimize data pipelines to ensure efficiency and reliability
• Write clean, efficient, and maintainable SQL and Python code
• Develop and maintain shell scripts to support automation

• 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

• Building complex financial analysis utilizing Microsoft Excel, Python, Alteryx, KNIME, Power BI & Tableau
• Taking part in significant international transaction projects
• Collecting, researching and analyzing data related to the client’s business operations