International award-winning executive recruitment expert Monroe Consulting Group is recruiting on behalf of an International Insurance Firm. Our client is looking for a professional and experienced candidate in Data Analytics & Insight.
Job Responsibilities
- Data Analytics (Data Processing & Data Mining, Inference & Interpretation, Visualization)
- Master the data structures and processing rules for the assigned functions
- Upgrade data processing & visualization skill sets to catch up with new technology, new strategy
- Build up areas of potential simplification/ automation and implement these changes
- Data Engineering & Warehousing (Data warehousing & ETL (Extract, Transformation, Load), Data architecture)
- Manage data assets are organized and stored in an efficient way so that information is high quality, reliable, flexible, stable and efficient.
- Make sure the intergrate of new data sources to increase throughput of existing systems, managing data pipelines, ETL solutions that facilitate robust analysis, and sourcing, preparing data
- Evaluate and identify new technologies for developing and expanding upon existing systems
- Data Science (Advanced data processing & data mining (large dataset & unstructured), Statistical modelling/ Machine Learning)
- Build, validate and deploy machine learning models to solve the critical problem statements aligned between Prudential and bank partners (Customer Segmentation, Cross-sell/Up-sell, Customer Churn Prediction, etc.)
- Contribute to the improvement of database management to optimize time for data preprocessing
- Successfully deliver data analytics projects using advanced analytics, machine learning and/or deep learning (e.g: Cross-sell Improvement, Customer Churn Management, etc.), measured via the ROI of applying data science models/ analyis
- Others key strategic projects
Job Requirements
- Degree in Mathematics/ Statistics/ Computer Science or related Quantitative discipline, preferably a Master
- At least 7 years experiences of data analyst, datawarehose and data scientist
- Experience with a sales compensation technology is an advantage
- Competencies:
- Having knowledge & experience of Hadoop Ecosystem(Spark, Hadoop,...) and cloud data platform (Azure,
- AWS,...) is a plus
- Advanced skill of common analytics toolkits(SQL, Python)
- Knowledge of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques/ recommendation and optimization algorithms is required
- Having knowledge & experience about Machine Learning and MLops is a plus
- Stakeholder management
- Critical thinking
- Problem solving & decision making
