Data Scientist/Data Engineer - Mid Level - Hybrid in Bristol (2-3 days) £50,000 - £60,000
About
Based in Bristol, our client is at the forefront of cyber risk assessment and management. Their innovative approach and proprietary models are revolutionising the way cyber risk is understood and mitigated in the reinsurance domain. They are committed to excellence and innovation, making them leaders in their field.
Position Overview
Our client is 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 their automated ingestion system. This role is ideal for someone passionate about crafting sophisticated data ingestion pipelines that incorporate advanced ML components and thrives in a dynamic, agile environment.
Key Responsibilities
- Automated Ingestion System Development: Be a key player in the design, development, and maintenance of sophisticated data ingestion pipelines, ensuring they are efficient, scalable, and reliable.
- 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 their systems and processes.
Qualifications
- 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.
- Education: A 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 in a 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.
Why Join?
- Impact: Make a significant impact on enhancing their data ingestion capabilities, directly contributing to 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 member's contribution towards their collective goals.
Perks
- Health insurance
- Hybrid working
- Life assurance
- Private Medical
- 5% pension
- 28 days annual leave plus bank holidays
- Collaborative working
- Dog-friendly office
Join our client's team and be part of a dynamic and innovative organisation that is shaping the future of cyber risk assessment and management in the reinsurance industry. Apply now and make an impact!
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 environment for 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.