Data Scientist (Python, ML, SQL)

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. 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.

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.

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.