Job Title: Mid-Level Data Scientist/Data Engineer
Location: Bristol, UK (Hybrid working)
Industry: Reinsurance
Contract Type: Permanent
Salary Range: £50,000 to £60,000 per year
Working Pattern: Full Time
Our client, a leading organisation in the reinsurance industry, is seeking two talented and experienced Mid-Level Data Scientists/Data Engineers to join their team. Our client is at the forefront of cyber risk assessment and management, with a commitment to excellence and innovation that sets them apart in the field.
Position Overview:
As a Mid-Level Data Scientist/Data Engineer, you will play a crucial role in the development and operations of our client's automated ingestion system. This role is ideal for someone passionate about crafting sophisticated data ingestion pipelines and integrating advanced machine learning components. It requires someone who thrives in a dynamic, agile environment.
Key Responsibilities:
- Automated Ingestion System Development: You will be responsible for designing, developing, and maintaining sophisticated data ingestion pipelines, ensuring they are efficient, scalable, and reliable.
- ML Component Integration: You will 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: You will work closely with data scientists, engineers, and other team members in a multifunctional agile development environment to meet project goals and timelines.
- Innovation: Utilise modern NLP techniques to improve data understanding and processing. Stay up to date with the latest developments in data science and engineering to continually enhance our systems and processes.
Qualifications:
- Experience: You should have at least 3 years of experience in developing complex data ingestion pipelines with sophisticated machine learning 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 Our Client?
- Impact: Make a significant impact on enhancing our client's 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 our collective goals.
In addition to excellent career prospects, our client offers a range of perks including health insurance, hybrid working, life assurance, private medical coverage, a 5% pension contribution, 28 days of annual leave plus bank holidays, collaborative working, and a dog-friendly office.
If you are a passionate and experienced Mid-Level Data Scientist/Data Engineer looking for an exciting opportunity in the reinsurance industry, apply now and join our client's team!
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.
Posted Date: 14 May 2024
Reference: JS-JN -042024-370511
Employment Agency: Adecco
Contact: Emma Pemberton