Data Scientist

We are inviting applications for the role of Lead Consultant – Data Scientist with experience in Artificial Intelligence and Generative Models. We're seeking a talented and experienced professional to join our team and play a key role in developing cutting-edge, AI-powered solutions using large language models.

Key Responsibilities

• Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to generate actionable insights.
• Design, develop, and implement:
• Advanced statistical models
• Machine learning algorithms
• AI applications and generative models (using LLMs such as GPT-3, BERT, etc.)
• Frameworks like Retrieval-Augmented Generation (RAG), Knowledge Graphs, etc.
• Communicate insights clearly to both technical and non-technical stakeholders through presentations, reports, and data visualizations.
• Monitor and optimize the performance of AI and generative models on an ongoing basis.
• Stay updated with the latest trends, tools, and advancements in data science, AI, and generative modeling.
• Mentor and guide junior team members to foster growth and collaboration within the team.

Minimum Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
• Proven experience in:
• Data science and machine learning
• AI applications and generative AI modeling
• Strong programming skills in Python, R, or equivalent languages.
• Hands-on experience with large language models (e.g., GPT-3, BERT) and frameworks such as RAG and Knowledge Graphs.
• Experience working with large datasets using SQL, NoSQL, Hadoop, Spark, etc.
• Excellent problem-solving, analytical, and critical thinking abilities.
• Strong communication and interpersonal skills for cross-functional collaboration.

Preferred Qualifications

• Experience deploying AI and generative models in production environments on AWS, Azure, or Google Cloud Platform (GCP).
• Familiarity with domain-specific data sources and challenges—especially in the Insurance industry.
• Proven experience leading data science projects end-to-end, with demonstrated project management and team collaboration skills.