Senior Data Scientist - Hybrid/Bristol Job Title: Senior Data Scientist Location: Hybrid/Bristol (Max 2. Days per week) Remuneration: GBP70,000 - GBP90,000 per annum Contract Details: Full-time, Permanent Responsibilities: Design, develop, refine, and execute our client #39;s stochastic cyber risk model, ensuring its accuracy, performance, and scalability. Perform complex data analysis to extract insights and identify trends in cyber risk using statistical and machine learning techniques. Translate model insights into actionable strategies and tools for internal and external stakeholders. Collaborate with underwriters, engineers, and cyber risk analysts to integrate the cyber risk model with other systems and processes. Stay updated with the latest developments in data science, cyber security, and risk modelling, incorporating innovative techniques and technologies into our client #39;s models. Our client, a pioneering company in the risk industry based in Bristol, UK, is seeking a highly skilled and experienced Senior Data Scientist to join their dynamic modelling team. Specialising in the cutting-edge domain of cyber risk, the organisation leverages advanced analytics and proprietary models to redefine the landscape of cyber risk assessment and management. Embracing innovation and excellence, they have emerged as a leader in the cyber reinsurance market. As a Senior Data Scientist, you will play a pivotal role in the development and operationalization of their proprietary stochastic cyber risk model. Reporting directly to the Head of Data Science Modelling, you will have the opportunity to make significant contributions to the advancement of their analytical capabilities and the broader field of cyber risk modelling. Desired Qualifications: At least 5 years of experience working as a data scientist/quantitative risk modeller, with a proven track record of operationalizing complex models and analytics. A degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred. Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python SQL. Experience with big data technologies and tools, particularly Databricks and Pyspark, is highly desirable. Experience in agile software development processes is a plus. Experience in insurance, cyber, or a related domain is ideal. Understanding of the reinsurance industry and its challenges is a plus. Excellent problem-solving abilities, strong communication skills, and the capacity to work effectively in a team-oriented environment. Why Join Their Team? Make a tangible impact on the future of cyber risk management and reinsurance. Work at the forefront of data science and cyber security, with opportunities to innovate and challenge the status quo. Benefit from opportunities for professional development and advancement in a rapidly growing organisation. Join a collaborative, supportive, and forward-thinking team that values innovation and excellence. Renumeration: In return for your expertise and contributions, our client offers a competitive salary range of GBP70,000 - GBP90,000 per year. Additional perks include hybrid working, health insurance, paid training, and employee discounts. Location: The role is based in Broadmead, Bristol, with nearby parking available at Mall Galleries, just a short 2-minute walk away. If you prefer public transportation, the office is a 18-minute walk from Bristol Temple Meads train station. Join their team and be part of their exciting journey to reshape the future of cyber risk assessment and management. Apply now to take the next step in your data science career! 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. 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