Job summary
Job post source
This job is from a recruiting firm hiring for a separate company.
Job overview
The Senior Data Scientist role involves building machine learning models to impact underwriting, claims, and customer engagement strategies in an insurance firm.
Responsibilities and impact
The candidate will develop ML models in a data-rich environment to support underwriting, claims, and customer engagement, contributing to the company's analytics expansion.
Compensation and benefits
The salary range is $170,000 to $220,000 with a performance bonus up to 20%.
Experience and skills
Requires 5+ years in Data Science, strong SQL and Python skills, knowledge of large-scale cloud databases, and a relevant degree; insurance experience preferred but not mandatory.
Work environment and culture
The role is remote-first in the US, supporting a data-driven and expanding analytics team at an insurance firm headquartered in New York.
Company information
The company is an insurance firm headquartered in New York, expanding its analytics team with a focus on data-driven decision making.
Job location and travel
This is a remote-first position based in the US, with the company's headquarters in New York.
Application process
Applicants are invited to apply if interested; no specific application steps detailed.
Unique job features
Opportunity to work in a data-rich environment influencing key insurance processes like underwriting and claims through ML models.
Company overview
PrimeHire is a technology-driven recruitment platform that streamlines the hiring process for employers and job seekers by offering tools for candidate screening, interview scheduling, and onboarding automation. The company generates revenue through subscription-based plans and service fees charged to businesses seeking to fill open roles efficiently. Founded to address inefficiencies in traditional hiring, PrimeHire leverages artificial intelligence and data analytics to match candidates with suitable positions, reducing time-to-hire and improving retention rates. Notably, PrimeHire has formed partnerships with various HR software providers to enhance its integration capabilities and expand its client base. Candidates should be aware that PrimeHire values innovation, adaptability, and a customer-focused mindset in its team members.
How to land this job
Position your resume to highlight your 5+ years of data science experience, emphasizing your proficiency with SQL and Python, and your familiarity with large-scale relational or cloud databases like Snowflake, BigQuery, or Redshift, as these are key requirements for the Senior Data Scientist role at primehire.
Emphasize any experience related to insurance analytics, especially in property & casualty, life, or health insurance, and mention any knowledge of actuarial reserving methods to set yourself apart, even if it's not mandatory.
Apply through multiple channels such as primehire's corporate career page, LinkedIn job postings, and other reputable job boards to maximize your visibility and chances of getting noticed.
Connect with current Senior Data Scientists or team members in the analytics division at primehire on LinkedIn. When reaching out, use ice breakers like commenting on recent data initiatives the company has undertaken, or expressing genuine interest in how their ML models impact underwriting and claims strategies.
Optimize your resume for ATS by including exact keywords from the job description such as 'SQL,' 'Python,' 'machine learning models,' 'cloud databases,' and 'insurance analytics' to ensure it passes through initial automated screenings.
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