- We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team.
- This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals.
Responsibilities:
- Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.
- Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations.
- Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.
- Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.
- Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.
Qualifications we seek in you:
- Minimum Qualifications Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field.
- experience in data science, machine learning, AI applications, and generative AI modeling.
- Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks.
- Proficient in statistical modeling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc
- Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark.
- Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.
Preferred Qualifications/ skills:
- Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP.
- Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance
- Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.
