Senior Data Scientist

REQUIREMENTS (Qualification/Experience/Skills)

Bachelor Degree/Masters/PhD in a quantitative field such as Computer Science, Economics, Finance, Mathematics, Statistics or equivalent.
Python
Machine learning
SAS
Advanced statistical knowledge
Dataiku
Gen AI (LLM, Knowledge library)
MLOps
 

KEY RESPONSIBILITIES

Lead complex data mining and extraction/transformation projects.
Utilize advanced machine learning tools for model building to support decision making and to drive use cases
Contribute in the development of Gen AI use cases.
Contribute to the development of best practices in data science.
Develop insights from data patterns to support decision-making and drive implementation
Contribute to the development of project from data driven approach.
Provide thought leadership on emerging trends in data science.
Mentor and guide data scientist in analytics projects as well in data science related activities
Collaborate with peers to share expertise and insights.
To support data scientist in  regular review sessions with respective Retail stakeholders, SME and Commercial Banking to ensure alignment on data-solutions, deliverables and standards against Business Challenges.
Contribute to the development of the data science strategy.
Formulate MLOps framework for the department

 

Senior Data Engineer

PRIMARY OBJECTIVES

Providing technical leadership, guidance and act as the de facto point of reference for data engineering and any analytical solutions especially Data Products.
Developing Data Engineering solutions in line with the latest technologies and best practices.
Drive knowledge journeys and facilitate communication on Data Engineering, DataOps & MLOps across units.  
 

REQUIREMENTS (Qualification/Experience/Skills)

Degree/Master/PhD in Computer Science, Data Engineering or equivalent.
Operational Knowledge of Data Engineering Architectures & Implementation, well verse with the concept of Medallion Architecture
Minimum 5 -7 years of experience and domain knowledge in banking & insurance.
Minimum 3 – 4 years of experience in Apache Hive, HBase, Solr & Kafka
Minimum 1 -2 years of implementing Apache Iceberg and migrating from Apache Hive to Iceberg.
Operational experience in Data Mesh and Data Product conceptualization & development