As a Senior Data Scientist at Datonomy Solutions, you'll leverage your expertise in graph analytics to drive business outcomes. This role is ideal for someone with a strong background in machine learning and a passion for innovative data solutions.
At Datonomy Solutions, the team is dedicated to transforming data into actionable insights using advanced graph analytics. As a Senior Data Scientist, you will work closely with data scientists, AI engineers, and business teams to ensure that graph insights lead to measurable business outcomes. Your role will involve designing, engineering, deploying, and operating enterprise-scale graph data platforms and analytics solutions, particularly within the banking sector.
You will be responsible for leveraging your deep expertise in TigerGraph and graph machine learning to develop predictive models and detect anomalies and fraud. This position requires hands-on ownership of the infrastructure, particularly focusing on AKS Kubernetes-based systems, ensuring that data ingestion processes are efficient and that the performance of the analytics solutions is optimised.
The ideal candidate for this role will have at least five years of experience in data science, with a strong emphasis on graph analytics. You should be comfortable working in a collaborative environment and be able to translate complex data insights into strategies that drive business success. Key responsibilities include:
If you are passionate about using data to solve complex problems and have a strong technical background, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.