- Integrate advanced machine learning components into data pipelines to optimise data processing and analysis.
- Data Quality and Metrics: Implement data quality metrics and dashboards to ensure the integrity and accuracy of ingested data.
- Collaboration: Work closely with data scientists, engineers, and other team members in a multifunctional agile development team to meet project goals.
- Innovation: Utilise modern NLP techniques to improve data understanding and processing, staying updated with the latest developments in data science and engineering.
- Technical Skills: Strong proficiency in Python, SQL, PySpark, and Databricks. Proven ability to create and manage data quality metrics and dashboards. Experience working in a multifunctional agile development team.
- Health insurance
- Impact: Make a significant contribution to enhancing their data ingestion capabilities and improving their ability to manage cyber risk more effectively.
- Innovation: Work with cuttingedge technologies and methodologies in the field of data science and engineering.
- Enjoy opportunities for professional development in a supportive and forwardthinking environment.
- If you are passionate about crafting sophisticated data ingestion pipelines and thrive in a dynamic, agile environment, our client welcomes your application. Don't miss this exciting opportunity to join their team in revolutionising the way cyber risk is understood and mitigated in the reinsurance domain. Adecco is a disabilityconfident employer. Adecco is committed to building a supportive environment for you to explore the next steps in your career.
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Data Scientist, Data Engineer, Data Architect - United Kingdom - Adecco
Description
Title:
Senior / Mid Level Data Scientists /Data Engineer
Contract Type:
Permanent
Our client, a leading organisation in the reinsurance industry, is seeking talented and experienced Mid-Level Data Scientists /Data Engineers to join their team in Bristol.
As a key player in the development and operations of their automated ingestion system, you will contribute to the enhancement of their data processing and analysis capabilities.
Design, develop, and maintain efficient, scalable, and reliable data ingestion pipelines.Experience:
Minimum of 3 years of experience developing complex data ingestion pipelines with sophisticated ML components. Degree in Computer Science, Data Science, Engineering, or a related field.
Industry Knowledge:
Familiarity with the insurance sector and its data challenges is highly desirable.
Life assurance
Private Medical
5% pension
28 days annual leave plus bank holidaysWhy join our client?