Principal Consultant Data Scientists with AI and Generative Model experience


Company Name


Job Description

  • 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. 
    Preferred Qualifications/ skills 
    1. Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. 
    2. Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance 
    3. Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. 

Job Details

Experience : 0 To 1
Number Of Vacancies : 10
Job Type : Permanent
Industry Type : IT/Software
Salary : 2 Lac - 4 Lac P.A

Education Summary

UG : BE/B.Tech

Contact Details

Contact Person : HR
Contact Number : 8030835000
e-mailId : hr.helpdeskexit@genpact.com
Address : RMZ One Paramount Porur Chennai, Campus-10,6th Floor, RMZ-One Paramount, Mount Poonamallee High Road, Porur, Chennai- 600116

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Office Location

Central Jakarta No 1234, Jakarta, Indonesia