
11 - 50 employees
Founded 2021
☁️ SaaS
🎯 Recruiter
Human Resources • SaaS • Recruitment
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
🕒 April 21
🇺🇸 United States – Remote
💵 $100 - $120 / hour
⏱ Part Time
🟢 Junior
🟡 Mid-level
🤖 Artificial Intelligence
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
Founded 2021
☁️ SaaS
🎯 Recruiter
Human Resources • SaaS • Recruitment
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
• Design, implement, and optimize intelligent systems across claims intake, investigation, and adjudication workflows • Develop AI models for automated data extraction, classification, and triaging of claims • Leverage machine learning to identify anomalies, detect potential fraud, and support decision-making • Help design AI-assisted decision engines for claim outcomes based on policy coverage and risk profiles • Develop predictive models for accurate reserve setting and loss estimation • Implement AI tools to track recovery potential and improve recovery rates
• Bachelor’s or Master’s degree in Computer Science, Data Science, Actuarial Science, Insurance, or a related field • 2–8 years of experience in insurance claims management, analytics, or AI/ML roles • Strong understanding of claims lifecycle processes, including intake, investigation, adjudication, and recovery • Hands-on experience with machine learning frameworks (e.g., Python, TensorFlow, PyTorch) and data analysis tools • Familiarity with NLP, computer vision, or document processing tools for claims automation • Experience working with large datasets and building predictive models
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