Senior Data Scientist at Great Eastern Life Assurance Co Ltd

Cuenca, Azuay, Ecuador -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

0.0

Posted On

20 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Statistical Techniques, Machine Learning, GLM, Regression, Random Forest, Boosting, Trees, Text Mining, Network Analysis, Scikit-learn, Numpy, Tableau, BigQuery, Amazon SageMaker

Industry

Insurance

Description

We are looking for a talented & enthusiastic individual to join our Data Science department, where you will design, develop and implement Analytics and AI solutions that deliver meaningful business impact. Participate in the build of group wide AI capabilities, with a focus on organising, analysing and interpreting data to uncover patterns and trends and establishing how these findings can help increase business value through making better informed decisions Perform exploratory data analysis, build and enhance AI models to help drive business performance Work closely with business stakeholders to drive integration and adoption of analytics and AI insights into new and existing business processes Conduct regular reviews on planned and existing AI initiatives and identify ways to develop integrated AI solutions across geography and function Support the build of data products including feature stores to support the build of AI models Support the build of visual dashboards primarily aimed at monitoring the outcomes of AI models Ensure all AI projects undertaking comply with both internal and external policies, guidelines and regulations Provide group level support to extended data science team based in other Great Eastern office Masters or BS in Business Analytics, Computer Science, Statistics, Economics, Actuarial Science or equivalent disciplines that focuses on extensive use of data for analysis 5 to 7 years of experience participating in data science and analytics projects as an individual contributor required Working level competency in Python and SQL programming required Practical knowledge in statistical and machine learning techniques including GLM, Regression, Random Forest, Boosting, Trees, Text Mining, Network analysis, etc required Practical knowledge in open source libraries such as scikit-learn, numpy, etc. required Experience in data visualization software such as Tableau is a plus Experience in using BigQuery, Google Analytics, Dataiku and Amazon SageMaker is a plus Experience in insurance or financial services industry is a plus

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Responsibilities

The role involves designing, developing, and implementing Analytics and AI solutions to deliver significant business impact, focusing on organizing, analyzing, and interpreting data to uncover patterns and trends. Responsibilities also include building group-wide AI capabilities, driving the integration of insights into business processes, and supporting the creation of data products and visual dashboards.