About CapcoCapco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco's cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent.Qualification
With 3-7 years of experience as data analyst, data pipeline development or related.
Experience analyzing existing data in the different data storage and create data inventory lists
Has experience in executing Data Protection, Data Privacy, PDPA
Has worked on Data Deletion and Data Anonymization
Implemented data controls to comply with regulatory requirements
Experience developing and architecting data & model pipeline with experience of the full lifecycle from prototype to production.
Hands-on experience in development, deployment and operation of data technologies and platforms
Preferably (but not limited to) Life Insurance industry
Key responsibility
Create a repeatable and reusable data workflow & ML workflow for data ingestion, model training, evaluation, deployment, and maintenance
Develop and train machine learning models and conduct model reviews to ensure model accuracy and useability
Work with data architect and engineers to design and build a suitable environment for machine learning model training and refinement (e.g. involving data pipelines & benchmarking infrastructure)
Work with data engineers to select the right data sets, algorithms, and modelling methods to develop, experiment, productionize and optimize ML models for a specific issue / problem against pre-determined success metrics
Design and develop end-to-end pipelines for analytics solution delivery
