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Data Scientist / Data Engineer / Quantitative Risk Modeller

Job LocationBristol
EducationNot Mentioned
Salary£50,000 - £80,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

Title: Senior / Mid Level Data Scientists /Data EngineerLocation: BristolContract Type: PermanentSalary Range: £50,000 - £80,000 per yearOur 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.Responsibilities:- Automated Ingestion System Development: Design, develop, and maintain efficient, scalable, and reliable data ingestion pipelines.- ML Component Integration: 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.Qualifications:- Experience: Minimum of 3 years of experience developing complex data ingestion pipelines with sophisticated ML components. Prior experience in the insurance sector is advantageous.- Education: Degree in Computer Science, Data Science, Engineering, or a related field.- Technical Skills: Strong proficiency in Python, SQL, PySpark, and Databricks. Demonstrated experience with modern NLP techniques and tools. Proven ability to create and manage data quality metrics and dashboards. Experience working ina multifunctional agile development team. Proficiency in using Git for version control.- Industry Knowledge: Familiarity with the insurance sector and its data challenges is highly desirable.- Soft Skills: Excellent problem-solving skills, strong communication abilities, and a collaborative spirit.Perks:

  • Health insurance
  • Hybrid working
  • Life assurance
  • Private Medical
  • 5% pension
  • 28 days annual leave plus bank holidays
Why join our client- Impact: Make a significant contribution to enhancing their data ingestion capabilities and improving their ability to manage cyber risk more effectively.- Innovation: Work with cutting-edge technologies and methodologies in the field of data science and engineering.- Growth: Enjoy opportunities for professional development in a supportive and forward-thinking environment.- Culture: Be part of a collaborative, innovative team that values each members contribution towards collective goals.If you are passionate about crafting sophisticated data ingestion pipelines and thrive in a dynamic, agile environment, our client welcomes your application. Dont miss this exciting opportunity to join their team in revolutionising the way cyber risk isunderstood and mitigated in the reinsurance domain. Apply now!Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environmentfor you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.Required skills
  • python
  • pyspark
  • databricks
  • Pandas / Bristol / Cyber Security / Reinsurance / Insurance / Stochastic / technical lead / quantitative risk modeller / Cyber / Sql / Machine Learnin

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