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TJ 17453 - JUNIOR DATA SCIENTIST
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General Details
Description
Employer Description
Leaders in Building Insurance
Job Description
- Data Analysis & Insights
- Analyse claims, premium, and policy data to identify trends, anomalies, and
opportunities. - Create dashboards, reports, and visualisations to support underwriting and
management decisions. - Build and maintain data pipelines to ensure accuracy and consistency of key
datasets. - Pricing & Underwriting Support:
- Assist in developing and maintaining pricing models for insurance products.
- Work with management to monitor book performance and identify risk areas.
- Provide analytical support for new business initiatives and product reviews.
- Business Intelligence & Automation:
- Develop scripts and tools (e.g., in Python, SQL, Json) to streamline data processing.
- Support system enhancements by testing, validating, and implementing
improvements. - Help maintain and enhance internal analytics and reporting infrastructure.
- Collaboration & Communication:
- Work closely with underwriters, management, and IT teams to deliver data
solutions. - Present findings and recommendations to management in a clear, actionable way
Qualifications
- Bachelors Degree with excellent marks in a quantitative field. (Data S
https://www.jobplacements.com/Jobs/T/TJ-17453-JUNIOR-DATA-SCIENTIST-1245435-Job-Search-12-9-2025-2-42-52-AM.asp?sid=gumtree
Id Subtitle 1344180570
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About the RoleWe are seeking a highly skilled Senior Data Engineer to join our dynamic data team. You will be responsible for designing, building, and maintaining robust and scalable data pipelines and architectures that enable analytics and business intelligence at enterprise scale. This role is ideal for professionals who thrive in complex data environments, value clean, efficient, and secure data engineering practices, and enjoy collaborating with cross-functional teams to deliver high-quality, reliable data solutions. Key Responsibilities Data Architecture & Pipeline DevelopmentDesign, develop, and maintain scalable data pipelines and ETL/ELT processesImplement data modeling and architecture solutions including Data Vault, dimensional modeling, and normalized structuresOptimize data storage and retrieval to support analytics, reporting, and machine learning workloadsIntegrate structured and unstructured data from multiple sources, including cloud and on-premises systemsDevelop and maintain data warehouses, data lakes, and cloud-native data platforms Cloud & Big Data EngineeringWork with cloud platforms such as AWS, Azure, or GCP for data storage, processing, and orchestrationImplement and manage data processing frameworks such as Spark, Databricks, or HadoopDevelop scalable, automated, and reliable batch and real-time data workflowsEnsure data pipelines meet performance, security, and compliance standards Collaboration & Process ImprovementCollaborate with data analysts, data scientists, software engineers, and business stakeholders to understand requirements and deliver solutionsMentor junior and intermediate data engineers, promoting best practices and code quality standardsParticipate in Agile/Scrum ceremonies, including sprint planning, stand-ups, and retrospectivesContinuously research and recommend new tools, technologies, and approaches to improve data engineering efficiency, reliability, and scalability Requirements & QualificationsMust-Have Skills:6+ years of professional experience in data engineering or software engineering with a focus on dataStrong expertise in SQL, relational databases (PostgreSQL, MSSQL, MySQL), and NoSQL databases (MongoDB, Cassandra, DynamoDB)Experience with Data Vault modeling and implementationHands-on experience with ETL/ELT tools and processesProficiency in programming/scripting languages such as Python, Scala, or JavaExperience building data pipelines and architectures in cloud platforms (AWS, Azure, GCP)Strong understanding of data warehousing, data lakes, and clo
https://www.executiveplacements.com/Jobs/S/Senior-Data-Engineer-1242358-Job-Search-11-26-2025-02-00-15-AM.asp?sid=gumtree
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