Key Responsibilities:
- Collaborate with cross-functional teams to design, develop, and implement innovative solutions using LLMs, and latest data science technologies.
- Understand Business problems and implement machine learning models to solve complex business problems
- Assist in the analysis and interpretation of complex datasets to extract valuable insights and drive data-driven decision-making.
- Support the development and deployment of machine learning models and algorithms to enhance various aspects of insurance operations.
- Contribute to the creation of data pipelines and ETL processes to ensure efficient data collection, processing, and storage.
- Participate in the research and evaluation of emerging technologies and tools to continuously improve our solutions and stay ahead of industry trends.
- Lead and mentor team members, communicate effectively with stakeholders, and deliver high-quality results on time and within budget
Technical Qualifications:
- Total 5+years of experience.
- Ph.D. in data Science or Msc (Maths/Statistics) with 3+ year's experience
- Formal training & certification in data science/AI/ML is required
- Strong enthusiasm and passion for new technologies, especially Large Language Models (LLMs) and their applications.
- Good 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 such as Python, R, or Java.
- Knowledge of SQL and experience with databases.
