Job summary
Job post source
This job is from a recruiting firm hiring for a separate company.
Job overview
The Machine Learning Engineer role involves developing and deploying AI/ML models to drive innovation and improve decision-making in a global property & casualty insurance company.
Responsibilities and impact
The candidate will build and deploy predictive models, collaborate with cross-functional teams to identify AI use cases, ensure model scalability and impact, and communicate findings to stakeholders.
Compensation and benefits
The compensation ranges from $135,000 to $175,000 base salary plus bonus, with full benefits including pension and 401(k).
Experience and skills
Requires a Master's degree in a quantitative field with at least 2 years of experience in advanced analytics, proficiency in R or Python, and strong communication skills; Ph.D. and insurance experience preferred.
Career development
Offers a unique opportunity to grow a career in a respected organization focused on next-generation analytics and AI innovation.
Work environment and culture
The work environment is collaborative, fast-paced, and agile, encouraging continuous learning and staying current with AI/ML tools and methodologies.
Company information
The company is a top-tier global property & casualty insurance carrier investing in AI capabilities to enhance underwriting, claims, and customer engagement.
Team overview
The role is within the enterprise Data and Artificial Intelligence division, collaborating with senior team members and cross-functional teams.
Job location and travel
The position is based in New York, NY.
Unique job features
The job offers the chance to work on innovative AI/ML projects that transform complex data into practical business solutions in the insurance industry.
Company overview
James Search Group is a specialized recruitment and executive search firm that focuses on connecting top-tier talent with businesses across various industries. They generate revenue by offering tailored staffing solutions, including direct hire, contract, and consulting services, to meet the unique needs of their clients. Established with a commitment to fostering long-term partnerships, the company emphasizes personalized service and industry expertise to deliver high-quality placements. Candidates should note their reputation for building strong client relationships and their dedication to aligning talent with organizational goals.
How to land this job
Tailor your resume to highlight your expertise in developing and deploying AI/ML models such as classification, forecasting, and propensity modeling, emphasizing your proficiency in Python or R and experience with large, complex datasets.
Focus on showcasing your ability to collaborate cross-functionally with business, IT, and strategy teams, and your skill in translating complex analytical findings into clear, business-relevant insights.
Apply through multiple channels including the James Search Group corporate website and LinkedIn to maximize your exposure to this opportunity.
Connect with current employees in the Data and Artificial Intelligence division at James Search Group on LinkedIn; start conversations by mentioning your excitement about their AI innovations in insurance or asking about recent projects related to underwriting or claims analytics.
Optimize your resume for ATS by incorporating keywords from the job description like 'predictive models,' 'neural networks,' 'data modeling,' 'AI/ML engineering,' and 'cross-functional collaboration' to ensure it passes automated screenings.
Use Jennie Johnson's Power Apply feature to automate tailoring your resume, identify multiple application portals, and find LinkedIn contacts for networking, allowing you to focus more effectively on preparing for interviews and upskilling.
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