Job Specification: Mid-Level Data Scientist/Data Engineer
About Us
Based in Bristol, we are at the forefront of cyber risk assessment and management. Our innovative approach and proprietary models are revolutionizing the way cyber risk is understood and mitigated in the reinsurance domain. We are committed to excellence and innovation, making us leaders in our field.
Position Overview
We are on the lookout for a talented and experienced Mid-Level Data Scientist/Data Engineer to play a crucial role in the development and operations of our automated ingestion system. This role is ideal for someone passionate about crafting sophisticated data ingestion pipelines that incorporate advanced ML components, and who thrives in a dynamic, agile environment.
Key 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 enhance data processing and analysis capabilities.
- Data Quality and Metrics: Develop and implement data quality metrics and dashboards to monitor and 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 and timelines.
- Innovation: Employ modern NLP techniques to improve data understanding and processing. Stay updated with the latest developments in data science and engineering to continually enhance our systems and processes.
Qualifications
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Experience: At least 3 years of experience in developing complex data ingestion pipelines with sophisticated ML components. Prior experience in the insurance sector is advantageous.
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Education: A degree in Computer Science, Data Science, Engineering, or a related field.
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Technical Skills:
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Strong proficiency in Python, SQL, PySpark, and Databricks.
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Demonstrated experience with modern NLP techniques and tools.
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Proven ability to create and manage data quality metrics and dashboards.
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Experience working in a multifunctional agile development team.
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Proficiency in using Git for version control.
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Industry Knowledge: Familiarity with the insurance sector and its data challenges is highly desirable.
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Soft Skills: Excellent problem-solving skills, strong communication abilities, and a collaborative spirit.
Why Join Us?
- Impact: Make a significant impact on enhancing our data ingestion capabilities, 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.
- Growth: Enjoy opportunities for professional development in a supportive and forward-thinking environment.
- Culture: Be part of a collaborative, innovative team that values each member's contribution towards our collective goals.
Join us and be part of a team that is transforming the landscape of cyber risk assessment and management in the reinsurance domain.