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The ideal candidate will have a strong background in data analysis, machine learning, and data visualization using tools like Python, Power BI, and Tableau. The role involves developing and deploying machine learning models, applying predictive and prescriptive analytics, and creating data-driven insights to address business challenges
To streamline the deployment, monitoring, and maintenance of machine learning models in production. Your role will be pivotal in ensuring the scalability, reliability, and efficiency of Machine Learning applications, including adapting modular deep learning models to meet evolving business needs.Proficiency in Python, model governance, serving, and monitoring, along with familiarity with automated data pipeline tools, will be highly advantageous.
The role focuses on delivering data‑driven insights for the Private Wealth Management business by leveraging advanced analytics, AI, and scalable visualization tools. It requires partnering with stakeholders to translate data into strategic recommendations while building robust, governed, and cloud‑ready analytical solutions.
Working in a consulting environment, you'll engage closely with business and technology stakeholders to translate strategy into tangible outcomes, improve operating models, and enable future-ready insurance ecosystems.
As an Data Business Analyst the insurance industry, you will play a key role in supporting data analytics and operational efficiency within the department. This temporary position offers an opportunity to contribute to impactful projects and drive meaningful results.
- Data analysis, storytelling and dashboard development across APAC Indirect Business (Distributors)- SQL, VBA Excel, Python, Power BI- Multinational culture- Regional exposure
We are seeking a skilled Developer-Data Engineer to join our team in the Technology & Telecoms industry. The role is focuses on designing and implementing data solutions to support business objectives
You will be responsible for building and maintaining a scalable and robust cloud-based platform that consolidates existing legacy data services. The platform will enable efficient data management, automation of processes, and provide high-quality data services to our users and tooling.
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