Sr. Data Scientist, Machine Learning
2 weeks ago
Job Advertisement: Mid-Senior Level Data Scientist - Cyber Risk Modelling
We are at the forefront of cyber risk assessment and management, revolutionizing the reinsurance domain with our innovative approach and proprietary models. Our commitment to excellence and innovation has established us as leaders in the cyber reinsurance market.
We have exciting opportunities for both mid-level and senior Data Scientists to join our dynamic modelling team. These hybrid roles are based in Bristol, offering a competitive salary range of £50k - £85k, depending on experience. Reporting to the Head of Data Science & Modelling, you will play a pivotal role in developing and operationalizing our proprietary stochastic cyber risk model and sophisticated data ingestion systems.
Design, develop, refine, and execute our stochastic cyber risk model, ensuring accuracy, performance, and scalability.
Data Analysis : Perform complex data analysis to extract insights and identify trends in cyber risk, utilizing a variety of statistical and machine learning techniques.
Design, develop, and maintain sophisticated data ingestion pipelines, integrating advanced machine learning components to enhance data processing and analysis capabilities.
Collaboration : Work closely with underwriters, engineers, cyber risk analysts, and other team members to integrate the cyber risk model and data ingestion systems with other processes.
Innovation : Stay updated with the latest developments in data science, cyber security, and risk modelling, incorporating innovative techniques and technologies into our models and systems.
Mid-Level: At least 3 years of experience in data science or data engineering roles, with a focus on developing complex data ingestion pipelines and operationalizing models.
A degree in Computer Science, Engineering, Statistics, Mathematics, Data Science, or a related field. Advanced degrees (MSc or PhD) are preferred.
Expertise in applied machine learning, probability, statistics, and quantitative risk modelling.
Strong proficiency in Python, SQL, PySpark, and Databricks.
Experience with big data technologies and tools.
Proven ability to create and manage data quality metrics and dashboards.
Experience working in agile software development processes and using Git for version control.
Industry Knowledge : Familiarity with the insurance sector and its data challenges is highly desirable.
Impact : Make a significant impact on enhancing our data ingestion capabilities and cyber risk management, directly contributing to our ability to manage cyber risk more effectively.
Innovation : Work with cutting-edge technologies and methodologies in the field of data science and engineering.
Enjoy unparalleled opportunities for professional development and career advancement in a rapidly expanding company.
Join us in Bristol as a Mid-Level or Senior Data Scientist, where your expertise will help shape the future of cyber risk assessment and management. Embrace the opportunity to work in a hybrid role that combines the flexibility of remote work with the benefits of in-person collaboration.
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Sr. Data Scientist, Machine Learning
1 week ago
Bristol, Bristol, United Kingdom Adecco UK LTD Full time £50,000 - £85,000Job Advertisement: Mid-Senior Level Data Scientist - Cyber Risk Modelling We are at the forefront of cyber risk assessment and management, revolutionizing the reinsurance domain with our innovative approach and proprietary models. Our commitment to excellence and innovation has established us as leaders in the cyber reinsurance market. We have exciting...
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