Address
Form of work
SalaryData Scientist (Mid and Senior Level)
Location - Hybrid, Bristol (3 days per week)
Salary - £50,000 - £80,000
Are you a talented and experienced Data Scientist ready to make an impact on the future of cyber risk assessment and management? We are seeking a dynamic individual to join our modelling team and contribute to the advancement of their cutting-edge cyber risk model. If you have a passion for data science, innovation, and problem-solving, this could be the perfect opportunity for you!
Here's what we have to offer:
- Impact: Join an organisation that is redefining the landscape of cyber risk assessment and management, and make a tangible impact on the future of the field.
- Innovation: Work at the forefront of data science and cyber security, with opportunities to innovate and challenge the status quo.
- Growth: Benefit from opportunities for professional development and advancement in a rapidly growing company.
- Culture: Join a collaborative, supportive, and forward-thinking team that values innovation and excellence.
Your key responsibilities will include:
- Model Development and Operation: Help design, develop, refine, and execute the stochastic cyber risk model, ensuring its accuracy, performance, and scalability.
- Data Analysis: Utilise your expertise in statistical and machine learning techniques to perform complex data analysis and extract insights and trends in cyber risk.
- Operationalization: Translate model insights into actionable strategies and tools for both internal and external stakeholders.
- Collaboration: Work closely with a cross-functional team, including underwriters, engineers, and cyber risk analysts, to integrate the cyber risk model with other systems and processes.
- Innovation: Stay up to date with the latest developments in data science, cyber security, and risk modelling, and incorporate innovative techniques and technologies into our models.
To be successful in this role, you will need:
- Experience: A minimum of 5 years of experience as a Data Scientist or quantitative risk modeller, with a proven track record of operationalizing complex models and analytics.
- Technical Skills: Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. Proficiency in Python & SQL is essential, and experience with big data technologies and tools is highly desirable.
- Industry Knowledge: Experience in insurance, cyber, or a related domain is ideal. Understanding of the reinsurance industry and its challenges is a plus.
- Soft Skills: Excellent problem-solving abilities, strong communication skills, and the capacity to work effectively in a team-oriented environment.
If you're ready to take the next step in your career and are looking for your next challenge, please 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 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.
