practice, and advanced data methodologies to build, improve and automate solutions to drive commercial excellence in decision-making. Accountabilities Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Maintain reproducible model building workflows, document experimental designs and track model performance. Create solutions across Commercial … across Pricing, Sales, and Ecommerce, to develop long-term strategic growth initiatives, and be a critical team member on project implementation. Apply knowledge of statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to recognise patterns, identify opportunities, pose business questions, and make valuable discoveries, leading to prototype development and product improvement. End-to-end implementation of data More ❯
service that applies AI/ML to process high-volume, low-complexity workflows.You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You'll Need to Succeed Essential Skills Strong experience with OCR, NLP More ❯
that applies AI/ML to process high-volume, low-complexity workflows. You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You'll Need to Succeed Essential Skills Strong experience with OCR, NLP More ❯
scientists and LLM use cases and Data Engineering with Graph DB experience and Vector DB experience. As a Data Scientist, you will be responsible for analysing large datasets, building predictive models, and extracting meaningful insights to drive informed decision-making. Key Responsibilities: * Analyse and pre-process large-scale time series datasets, identifying relevant variables and data cleansing requirements. * Develop … and implement advanced statistical models and machine learning algorithms to perform predictive analysis on time series data. * Build and validate forecasting models to predict future trends, patterns, and anomalies in time series data. * Collaborate with cross-functional teams to understand business requirements and translate them into actionable data science projects. * Communicate findings and insights effectively to stakeholders, presenting complex … concepts in a clear and concise manner. * Stay up to date with the latest advancements in time series analysis, statistical modelling, and machine learning techniques. * Collaborate with data engineers to optimize data pipelines and ensure efficient data processing for time series analysis. * Contribute to the development and improvement of data science methodologies, tools, and frameworks. Key Skills & Experience: * The More ❯
highly scalable data management systems. Ensure systems meet business requirements and industry practices. Design, implement, automate and maintain large scale enterprise data ETL processes. Build high-performance algorithms, prototypes, predictive models and proof of concepts. Technical Skills Required: SQL (5+ years) Python (5+ years) Data Modelling, visualization - Tableau, micro strategy etc and integration tools : Azure data factory , airflow More ❯
