Data Scientist + Data Engineer (Palantir Experience) Insurance Domain

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We have urgent requirements for our direct client, please go through the below Job Description. If you are interested please send me your updated word format resume to and reach me @ .

Job Title: Data Scientist Data Engineer (Palantir Experience) Insurance Domain
Experience Level: 10 years
Location: Jersey City, NJ
Duration : 6 Months Contract

Job Description: We are seeking a highly skilled and motivated Data Scientist Data Engineer with hands-on experience in Palantir tools, to work on data-intensive projects in the insurance domain. The ideal candidate will possess a combination of strong data engineering capabilities and data science expertise, with the ability to work with large datasets and derive actionable insights that help drive business decisions.

Key Responsibilities:
Data Engineering:
Design, build, and maintain data pipelines to support large-scale data integration and processing across various sources, including structured and unstructured data.
Utilize Palantir Foundry to integrate and transform data, ensuring consistency, accuracy, and scalability.
Collaborate with data engineers, business analysts, and IT teams to ensure smooth data flows across different systems.
Manage and optimize databases, ensuring high availability and performance of data infrastructure.

Data Science:
Apply advanced data analytics and machine learning techniques to solve complex problems in the insurance domain, such as claims prediction, risk modeling, fraud detection, customer segmentation, and more.
Develop and deploy machine learning models in production environments using Palantir tools and other platforms.
Perform statistical analysis, feature engineering, and model selection to support business objectives.
Visualize data and insights effectively to communicate findings to both technical and non-technical stakeholders.

Palantir Experience:
Lead the use of Palantir Foundry and Palantir Gotham for data integration, analysis, and modeling within the insurance domain.
Support the adoption and optimization of Palantir tools within the organization, guiding other team members and stakeholders.
Leverage Palantir to integrate disparate data sources, create end-to-end workflows, and optimize business processes.

Collaboration & Innovation:
Work closely with business leaders and product teams to identify key challenges and opportunities where data science and engineering can drive value.
Stay updated on the latest developments in the field of data science, machine learning, and data engineering, and advocate for the implementation of cutting-edge technologies.

Required Qualifications:
Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field.
Palantir Experience: Strong hands-on experience working with Palantir Foundry and/or Palantir Gotham for data integration, transformation, and analysis.
Proven experience in the insurance domain with a solid understanding of the industry s data requirements, including underwriting, claims, risk modeling, and actuarial data.
Expertise in data engineering (ETL pipelines, data architecture, databases, cloud platforms).
Proficiency in data science techniques, including statistical modeling, machine learning, and data visualization.
Strong programming skills in Python, SQL, and other relevant tools/languages (e.g., Spark, Hadoop, etc.).
Experience with cloud platforms (AWS, Google Cloud Platform, Azure) is a plus.
Strong problem-solving skills, attention to detail, and ability to work in a fast-paced environment.
Excellent communication skills with the ability to present complex data insights to both technical and business audiences.

Preferred Qualifications:
Experience with Palantir integration into legacy insurance systems.
Familiarity with big data technologies (e.g., Hadoop, Spark, etc.).
Knowledge of insurance-specific analytics such as claims prediction, fraud detection, and risk scoring.
Previous experience with insurance data models and regulatory compliance in data handling.