Mid-Level & Senior Data Scientists- Hybrid/Bristol - Up to £90k

Job Description

Mid-Level and Senior Data Scientist Roles - Hybrid/BristolLocation: Hybrid/Bristol - 2 days in office per week min.About Our Client:Our client is a leading organisation in the risk industry, specialising in cyber risk assessment and management. They are at the forefront of innovation, using advanced analytics and proprietary models to redefine the understanding and mitigation of cyberrisk. Their culture is dynamic and free from bureaucracy, fostering an environment where new ideas are embraced and quickly put to the test. With unique perks like dog-friendly offices, team meals and enrichment days, their team thrives on a cooperative andinventive spirit.Mid-Level Data Scientist:Location: Hybrid/BristolSalary: £50,000 - £60,000 per annumContract Type: PermanentKey Responsibilities:Seeking an Engineer with a curious mindset and an understanding of bespoke data transformation, without the need for the crutch of Cloud Platforms at all times…

• Develop, enhance, and manage intricate data ingestion pipelines.
• Integrate advanced machine learning elements into data pipelines.
• Implement data quality metrics and dashboards for monitoring.
• Collaborate with data scientists, engineers, and cross-functional teams in an agile setting.
• Use modern NLP techniques to enrich data comprehension and processing.
• Ensure the efficiency, scalability, and dependability of data ingestion pipelines.

Qualifications:

• Minimum 3 years of experience in developing data ingestion pipelines with advanced ML elements.
• Degree in Computer Science, Data Science, Engineering, or related field.
• Proficient in Python, SQL, PySpark, and Databricks.
• Experience with modern NLP techniques and tools.
• Familiarity with Git for version control.
• Knowledge of the insurance sector is advantageous but not required.

Skills and Competencies:

• Strong problem-solving abilities.
• Effective communication skills.
• Collaborative mindset.
• Ability to thrive in a dynamic, agile setting.
• Curiosity and deep understanding of data transformation and bespoke models.

Why Join Us- Influence: Directly contribute to the efficacy in managing cyber risk.- Innovation: Engage with state-of-the-art technologies and data science methodologies.- Development: Professional growth opportunities within a forward-looking environment.- Culture: Join a cooperative, inventive team that values each members contributions.Benefits & Perks:

• Hybrid work options �
• Health insurance coverage �
• Sponsored training opportunities �
• Employee discounts
• Dog-friendly office and enrichment days �

Senior Data ScientistLocation: Hybrid/Bristol (Max 2 days per week)Salary: £70,000 - £90,000 per annumContract Type: PermanentKey Responsibilities:

• Design, develop, and execute a stochastic cyber risk model.
• Perform complex data analysis to extract insights and identify trends in cyber risk.
• Translate model insights into actionable strategies for internal and external stakeholders.
• Collaborate with underwriters, engineers, and cyber risk analysts to integrate the cyber risk model with other systems.
• Stay updated with the latest in data science, cyber security, and risk modelling.
• Utilise probabilistic modelling techniques to account for uncertainties in climate science and financial modelling.

Qualifications:

• At least 5 years of experience as a data scientist or quantitative risk modeller.
• Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field (advanced degrees preferred).
• Expertise in applied machine learning, probability, statistics, and quantitative risk modelling.
• High proficiency in Python and SQL, with experience in big data technologies (Databricks, PySpark).
• Experience in the insurance, cyber, or related domain preferred.
• Strong problem-solving and communication skills.

Preferred Skills (Nice to Have):

• Knowledge of Monte Carlo, copular, and marginal techniques.
• Experience in probabilistic modelling and uncertainty accounting.

Skills and Competencies:

• Deep understanding of probabilistic modelling and uncertainty accounting.
• Ability to lead and mentor junior data scientists.
• Innovative and forward-thinking mindset.

Why Join Us- Impact: Influence the future of cyber risk management and reinsurance.- Innovation: Work at the cutting edge of data science and cyber security.- Growth: Opportunities for professional development and advancement.- Culture: Be part of a collaborative, supportive team that values innovation and excellence.Perks:

• Hybrid work options �
• Health insurance coverage �
• Paid training and development opportunities �
• Employee discounts
• Dog-friendly office, work lunches and enrichment days ��

Both roles offer the chance to work in a vibrant, innovative environment where you can make significant contributions to the field of cyber risk assessment. Join our clients team and be part of a cooperative, supportive team that values creativity, collaboration,and continuous improvement. Apply today and take the next step in your data science career!KEYWORDS:Python / Cyber Reinsurance / Distribution / Pandas / DataBricks / Quantitative Risk Modelling / Monte Carlo / Copular / Probabalistic / Marginal ModelingRequired skills

• Python / Databricks / Data bricks / Cyber Reinsurance / GCP / SQL / Distribution / Pandas / SQLAlchemy / Apache Airflow / DataBricks / Data Bricks / S