Professional Services Consultant P0015

About the role

Earnix is a premier provider of mission-critical, cloud-based intelligent decisioning solutions for insurance and banking industries. Our solutions are designed to transform operations and unlock value across pricing, rating, underwriting, and product personalization.

Responsibilities

• Work directly with North American clients to turn data into decisions that matter.
• Build predictive models that explain and anticipate customer behavior across risk, demand, and pricing.
• Design pricing and decisioning strategies that create real business impact and get to value fast.
• Become a trusted advisor to clients and internal teams by turning complex analytics into clear, actionable direction.
• Lead sharp, compelling technical presentations that show how Earnix drives outcomes, not just insights.
• Push for fast adoption of Earnix solutions—removing friction, solving problems, and accelerating time-to-value.
• Help clients get up and running quickly through training, enablement, and hands-on support.
• Contribute to RFPs, proposals, and sales conversations that win deals by making value obvious.
• Work at the intersection of analytics, product, and strategy—helping shape how Earnix evolves in banking and insurance.

Requirements

• You’ll do it using:
• Proven experience leading end-to-end analytics or technology implementation projects in client-facing environments.
• Experience in the insurance industry and previous exposure to analytics within pricing is a plus.
• Strong background in data science, BI, statistical analysis, or economic/management consulting.
• Hands-on experience with modern data science tools (e.g., Python, R, or similar).
• Strong communicator—able to simplify complex ideas clearly in writing, presentations, and client conversations.
• Comfortable working directly with clients and driving outcomes in fast-paced, dynamic environments.
• Willingness and flexibility to travel across North America and globally as needed.
• Authorization to work in the United States.

Nice to have

• Understanding of system integration concepts and machine learning methods.
• Experience in insurance or banking, especially in pricing, deposits, or lending analytics.
• Willingness to travel up to 10% domestically.