Data Scientist-GEN AI

Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience!

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

• 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

• Experience in data science, machine learning, AI applications, and generative AI modelling.
  
• 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 modelling, 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

• 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.