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Job Title: AI-ML Scientist or Data Scientist with Insurance Domain Experience Location:2 days Hybrid in Jersey city - Charlotte, NC Client: AIG Job Type: C2C Industry: Insurance - Insurtech Expe at Charlotte, North Carolina, USA
Email: [email protected]
From:

Bharath Kumar,

Oncorre

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Job Title: AI/ML Scientist or Data Scientist with Insurance Domain Experience

Location: 2 days Hybrid in Jersey city / Charlotte, NC

Client: AIG

Job Type: C2C

Industry: Insurance / Insurtech

Experience Level: Mid-Senior Level

Visa: EAD, GC and Citizen ( Independent Visa ) 

Job Overview

We are seeking an experienced AI/ML Scientist or Data Scientist with a strong background in the insurance domain. The ideal candidate will leverage machine learning (ML), artificial intelligence (AI), and data science to drive innovation in underwriting, claims processing, fraud detection, and customer experience within the insurance sector. You will work closely with cross-functional teams, including actuarial, claims, underwriting, and IT, to develop data-driven solutions that improve efficiency and decision-making processes.

Key Responsibilities
Design, develop, and deploy AI/ML models to solve critical business problems such as risk modeling, fraud detection, predictive analytics, and customer segmentation.
 Work with large datasets from various sources to extract meaningful insights and patterns related to insurance operations (e.g., underwriting, claims, and customer behavior).
Develop and optimize features for AI/ML models to improve prediction accuracy and performance in insurance use cases.
Work with business teams such as claims, actuarial, and underwriting departments to understand their challenges and identify AI/ML solutions.
Monitor the performance of models in production, update and retrain them as necessary to ensure continued accuracy and effectiveness.
Collaborate with data engineers to build scalable and efficient data pipelines for model training and inference.
Stay up to date with the latest advancements in AI/ML technologies and explore their application to insurance-specific use cases.
Document model development processes, assumptions, and outcomes; create visualizations and reports for stakeholders.

Qualifications & Requirements

Educational Background:
Masters or Ph.D. in Computer Science, Data Science, AI/ML, Statistics, Applied Mathematics, or a related field.

Experience:
3-5+ years of experience as an AI/ML Scientist, Data Scientist, or a similar role.
Proven experience in the insurance industry (e.g., property and casualty, life insurance, reinsurance, or health insurance) is required.
Experience working with actuarial teams and an understanding of underwriting processes is a plus.

Technical Skills:
Proficient in programming languages like Python, R, or Scala.
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Strong knowledge of data querying languages (SQL) and big data technologies (Hadoop, Spark, etc.).
Familiarity with cloud platforms (AWS, GCP, or Azure) for model deployment and data processing.
Experience with statistical modeling, predictive analytics, and time-series analysis.
Knowledge of natural language processing (NLP) or computer vision applications in insurance is a plus.

Soft Skills:
Excellent communication skills to explain complex AI/ML models to non-technical stakeholders.
Strong problem-solving abilities with attention to detail.
Ability to work in a fast-paced, collaborative environment.

Preferred Qualifications
Experience with insurance-specific data sources such as claims data, policyholder data, or telematics.
Knowledge of regulatory and compliance standards in the insurance industry.
Understanding of actuarial science or certification (e.g., ACAS, FCAS) is a bonus.

Keywords: artificial intelligence machine learning rlang information technology green card North Carolina
Job Title: AI-ML Scientist or Data Scientist with Insurance Domain Experience Location:2 days Hybrid in Jersey city - Charlotte, NC Client: AIG Job Type: C2C Industry: Insurance - Insurtech Expe
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Tue Sep 24 08:07:00 UTC 2024

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