insurance clients is looking for an experienced Data Scientist to join their team. You will work with client is looking for someone that has ML and Big Data experience. We require a candidate with: BSc/BCom
1. Data Analysis: Analysing and interpreting complex data using statistical methods and tools to uncover insights and trends. 2. Data Extraction: Using ETL / ELT methods and tools like Azure Data Factory and Synapse Synapse. 3. Data Visualization: Creating visualizations and dashboards to communicate data insights effectively 4. Data Cleaning: Cleaning and preprocessing data to ensure accuracy and completeness. 5. Data Modelling: Working collaboratively with other members of the data science team and other departments to identify business
excellent returns, is seeking a talented Data Engineer to join their data analytics team. They are committed maintain robust data pipelines using SQL and Microsoft Fabric
Data Scientist - Contract (Hybrid)
Purpose Statement
To drive remains competitive in a dynamic landscape where data science is a key strategic differentiator. To design Degree in Data Science
Preferred:
Responsibilities:
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Data Quality Management:
Develop and implement a data quality framework
completeness, and consistency of data within Global Markets.
Establish data quality standards, metrics
improve data quality.
Provide guidance and support to data owners and stakeholders on data quality
/>Data Governance:
Implement data governance frameworks, including data attestation
attestation and data lineage, to ensure the integrity, security, and usability of data assets within Global Markets
Requirements:
Requirements
- Min of 5-8 years experience in data engineering
- Strong back end and front-end
Ab Initio (a bonus)
o Data APIs
- Will be required to build data warehouse components on Terradata
present data on dashboards and visualisations on PowerBI.
- Will have to comply with all data governance
governance, like documenting data definitions and business glossaries.
- Getting data models approved before
/>- related degree.
- 8+ yrs experience in data engineering.
- Familiar with one or more programming