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Data Scientist - Hybrid/Bristol Job Title: Mid-Level Data Scientist Location: Hybrid/Bristol Remuneration: £50,000 - £60,000 per annum Contract Type: Permanent Responsibilities: Play a pivotal role in crafting, enhancing, and managing intricate data ingestion pipelines, ensuring their efficiency, scalability, and dependability. Integrate advanced machine learning elements into data pipelines to elevate data processing and analytical capabilities. Devise and implement data quality metrics and dashboards for monitoring, ensuring the fidelity and precision of ingested data. Collaborate closely with data scientists, engineers, and cross-functional team members in an agile development setting to meet project objectives and deadlines. Harness modern NLP techniques to enrich data comprehension and processing. Stay abreast of the latest advancements in data science and engineering to continuously refine our systems and methodologies. About Us: Situated in Bristol, UK, our client operates at the forefront of cyber risk assessment and management. Their pioneering strategies and exclusive models are reshaping the understanding and mitigation of cyber risk within the reinsurance sector. They are dedicated to excellence and innovation, positioning them as pioneers in their field. Why Join? Influence: Drive significant enhancements in our data ingestion capabilities, directly contributing to our efficacy in managing cyber risk. Innovation: Engage with state-of-the-art technologies and approaches in the realm of data science and engineering. Development: Access opportunities for professional growth within a nurturing and forward-looking environment. Culture: Become part of a cooperative, inventive team that values the contributions of each member toward our shared objectives. Qualifications: Experience: A minimum of 3 years' experience in crafting intricate data ingestion pipelines incorporating advanced ML elements. Prior exposure to the insurance domain is advantageous. Education: A degree in Computer Science, Data Science, Engineering, or a related discipline. Technical Skills: Proficient in Python, SQL, PySpark, and Databricks. Demonstrated proficiency in modern NLP techniques and tools. Proven track record in developing and managing data quality metrics and dashboards. Experience collaborating within a cross-functional agile development team. Competence in utilising Git for version control. Industry Knowledge: Familiarity with the insurance sector and its associated data challenges is highly desirable. Soft Skills: Exceptional problem-solving abilities. Effective communication skills. Collaborative mindset. Perks: Hybrid work options. Health insurance coverage. Sponsored training opportunities. Employee discounts. We seek talented and seasoned Mid-Level Data Scientists passionate about sculpting sophisticated data ingestion pipelines. If you thrive in a dynamic, agile setting and possess a robust foundation in Python, Databricks, and SQL, we invite you to connect with us. Our office is conveniently located in the vibrant area of Broadmead, Bristol, with nearby parking at Mall Galleries just a 2-minute walk away. Bristol Temple Meads train station is also accessible within a 18-minute walk from our office. Join our esteemed organisation and contribute to our culture of innovation and foresight. Apply now and embark on the next phase of your career journey as a Mid-Level Data Scientist. 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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Senior Data Scientist - Hybrid/Bristol Job Title: Senior Data Scientist Location: Hybrid/Bristol (Max 2. Days per week) Remuneration: £70,000 - £90,000 per annum Contract Details: Full-time, Permanent Responsibilities: Design, develop, refine, and execute our client'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'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 £70,000 - £90,000 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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