Sr. Data Scientist

As a Machine Learning Engineer at our company, you will play a crucial role in designing, developing, and implementing innovative solutions using Large Language Models (LLMs) and cutting-edge data science technologies. Your responsibilities will include: - Collaborating with cross-functional teams to address business problems and applying machine learning models to solve complex issues. - Analyzing and interpreting complex datasets to extract valuable insights that drive data-driven decision-making. - Supporting the development and deployment of machine learning models and algorithms to optimize various aspects of insurance operations. - Contributing to the creation of efficient data pipelines and ETL processes for data collection, processing, and storage. - Researching and evaluating emerging technologies and tools to enhance our solutions and stay ahead of industry trends. - Leading and mentoring team members, effectively communicating with stakeholders, and delivering high-quality results within budget and timelines. In terms of technical qualifications, we are looking for candidates with: - A Ph.D. in Data Science or an MSc in Maths/Statistics with a minimum of 3 years of experience. - Formal training and certification in data science, AI, or machine learning. - A strong passion for new technologies, particularly Large Language Models (LLMs) and their applications. - A solid understanding of data science concepts, including statistical analysis, machine learning, and predictive modeling. - Familiarity with big data technologies such as Hadoop, Spark, or similar frameworks. - Proficiency in programming languages like Python, R, or Java. - Knowledge of SQL and hands-on experience with databases. Join us in our mission to leverage advanced data science techniques to drive impactful business decisions and revolutionize the insurance industry. As a Machine Learning Engineer at our company, you will play a crucial role in designing, developing, and implementing innovative solutions using Large Language Models (LLMs) and cutting-edge data science technologies. Your responsibilities will include: - Collaborating with cross-functional teams to address business problems and applying machine learning models to solve complex issues. - Analyzing and interpreting complex datasets to extract valuable insights that drive data-driven decision-making. - Supporting the development and deployment of machine learning models and algorithms to optimize various aspects of insurance operations. - Contributing to the creation of efficient data pipelines and ETL processes for data collection, processing, and storage. - Researching and evaluating emerging technologies and tools to enhance our solutions and stay ahead of industry trends. - Leading and mentoring team members, effectively communicating with stakeholders, and delivering high-quality results within budget and timelines. In terms of technical qualifications, we are looking for candidates with: - A Ph.D. in Data Science or an MSc in Maths/Statistics with a minimum of 3 years of experience. - Formal training and certification in data science, AI, or machine learning. - A strong passion for new technologies, particularly Large Language Models (LLMs) and their applications. - A solid understanding of data science concepts, including statistical analysis, machine learning, and predictive modeling. - Familiarity with big data technologies such as Hadoop, Spark, or similar frameworks. - Proficiency in programming languages like Python, R, or Java. - Knowledge of SQL and hands-on experience with databases. Join us in our mission to leverage advanced data science techniques to drive impactful business decisions and revolutionize the insurance industry.