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.
