Prepares, transforms, models data and resolves conflicting sources of data and anomalies • Supports the Agile ceremonies • Implement methods to improve data reliability and quality • Combines raw information formats • Develop and test architectures that enable data extraction and transformation for predictive or Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout these in extracting value and features from large scale data and toolsets • Modern code development practices
insurance industry is looking for an experienced Data Scientist to form part of their life and non-life
opportunity:
As a data scientist, you'll be instrumental in utilizing data to uncover valuable
with various teams, you'll craft inventive, data-centric solutions that tackle business hurdles and
develop robust data pipelines and infrastructure for structured and unstructured data.
Apply
strong background in data analytics and engineering? Do you possess the love for data and insights? Do you individual to oversee and enhance our Logistics Data team to support event-driven analytics. As part value from data assets. The Key Performance Areas: Design, implement, and maintain the data pipelines pipelines that constitute TFG's data platform, enabling effective use of data within Logistics and across the and streaming data processing capabilities. Aid the enhancement of data marts and data warehouse. Focus
statistics, mathematics, operational research, economics, data engineering, risk management, or equivalent industry
seeking an experienced Data Engineer to join our data team and work closely with the Data Specialist to design
design, develop and implement efficient data pipelines to support business operations and decision-making
have strong technical skills in data management, experience in data integration, and a proven track record
record of delivering high-quality data solutions.
Key Responsibilities:
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
field
- At least 3-5 years of experience in data engineering
- Strong skills in programming
with data technologies such as Hadoop, Spark, and cloud-based platforms
- Knowledge of data modeling
modeling, data warehousing, and ETL processes
- Strong problem-solving skills and attention to detail
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