Data Scientist

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable

Akkodis is seeking an experienced Data Scientist for a fully remote contract-to-hire opportunity with a growing data science team. This is a highly analytical, hands-on position for someone who enjoys using machine learning, predictive modeling, Python, and SQL to solve complex business problems and turn data into actionable insights. The Data Scientist will partner directly with business stakeholders to understand challenging questions, develop analytical approaches, build predictive models, explore new data sources, and help operationalize solutions within an enterprise environment. The ideal candidate will bring strong Python and SQL expertise, hands-on predictive modeling experience, and a track record of taking data science solutions beyond experimentation and into production., * 5+ years of experience in Data Science, Analytics, Statistics, or a related discipline.

• Strong hands-on experience with predictive modeling and machine learning.
• Advanced proficiency with Python.
• Advanced proficiency with SQL.
• Experience developing solutions in an enterprise environment and moving code/models into production.
• Experience working with data pipelines and source control, including Git.
• Strong analytical and problem-solving skills.
• Ability to communicate technical findings and recommendations to business stakeholders.
• Property & Casualty insurance industry experience.
• Experience working with insurance agents, brokers, underwriting, claims, pricing, or related datasets.

Pay/Salary Range: $60.00/Hour to $85.00/Hour. The salary may be negotiable based on experience, education, geographic location, and other factors.