Data Scientist
1 week ago
Role Description
We are excited to welcome a to join our fast Growing and hugely successful Data Science team, made up of talented and diverse Data Engineers, Scientists and Analysts. We are constantly striving to work with the best talent and technologies in order to stay at the forefront to beat the best.
As a Data Enrichment Analyst youll have input into the Data enrichment strategy & optimise our external Data capability by carrying out detailed and sophisticated analysis to support achieving performance metrics and corporate planning. You will be looking to innovate across data, software tooling and technical approaches to deliver our enrichment strategy.
Your focus:
Your role will vary day to day, but here is a bit of what you can expect:
- Support the Data Enrichment manager on delivery of the Data Hunting Strategy.
- Work with different teams and stakeholders to achieve an understanding of their needs, data requirements and expected modelling outcomes
- Demonstrate analytical expertise to identify opportunities within new Enrichment data sources & promote the use of external Data throughout Allianz
- Measure and track impact of the products developed through business KPIs. Present result of analyses to business owners and share knowledge with team members.
- Collaborate with data stakeholders to integrate enrichment data into our data pipelines and systems.
- Monitor and maintain existing external data used
- Ensure external Data services are managed in line with Data regulation.
- Support the performance & problem resolution for Data Enrichment Services & associated data submissions.
- Support delivery of projects involving Data Enrichment capability.
- Promote the Data enrichment strategy in project delivery.
- Investigate new data and analytics technologies and contribute to the continual development and evolution of our data architecture
Essential Skills
- Proven experience in a research / analytical role with the ability to handle with large and/or complex data sets
- Strong analytical and problem-solving skills.
- Able to lead others and champion best practices.
- Good command of Python, SQL, SAS or similar coding languages
- Good stakeholder management skills, including communication, expectation management and the ability to convey technical concepts to a non-technical audience
- Ability to build and maintain relationships throughout both the Data and Analytics Department and the wider business
Desirable Skills
- Knowledge of working in an insurance or financial services-based organisation.
- Understanding Change Practices such as Agile or Kanban.
- Collaborative tools such as Jira, Confluence, Github
- Understanding how Enrichment work contributes to business performance
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