[Hiring] Director of Data Science and Analytics @Artemis Consultants

Role Description

The Director, Data Science & Analytics is a hands-on analytics leader who owns the quality, predictiveness and continuous improvement of the models and data assets that it delivers to its clients. The role designs and runs client proofs of concept from intake through results, presents findings directly to clients, and translates what is learned in the real world into ongoing product and model improvements.

This position is created to augment the Chief Data Officer (CDO). In the near term the role manages and tracks production data loads and updates while the company completes its data modernization platform; as that platform matures, the balance of the role shifts decisively toward analytics, modeling and client-facing work. The person we hire must be driven and hardworking, adaptable, and ready to live through change as we scale and grow the business.

Responsibilities

• Analytics, Model Development and Enhancement:
  • Build, validate, refine and retest the predictive and analytical models on an ongoing basis.
  • Establish and run a disciplined model lifecycle: feature engineering, training, validation, documentation, and controlled release into production.
  • Apply current AI and machine learning techniques where they measurably improve outcomes.
  • Test and monitor data quality across all data assets; identify, quantify and drive resolution of quality issues at the source.
• Proof of Concept Execution and Client Engagement:
  • Own end-to-end execution of all client-facing proofs of concept.
  • Build automated, repeatable processes for receiving, parsing, inspecting and validating client input.
  • Summarize and present POC results to clients and prospects in clear, decision-oriented terms.
  • Capture what each POC reveals about real-world performance and feed it back into product roadmap decisions.
• Data Operations (transitional, decreasing over time):
  • Manage and track all production data loads and updates in the near term.
  • Manage and run designated production jobs and client deliverables.
  • Partner with the CTO to migrate data-loading and processing work onto the data modernization platform.
• Product Team Collaboration:
  • Serve as an integral member of the cross-functional product team.
  • Contribute analytical evidence to pricing, positioning and roadmap decisions.
  • Communicate methods, results and trade-offs clearly to non-technical colleagues.
• Leadership and Growth:
  • Develop a deep understanding of the information assets, clients, markets and competitive landscape.
  • Over time, take on ownership of data strategy, information-asset roadmap, partner relationships and mentoring.
  • Model the working culture we want: ownership, urgency, intellectual honesty, and steady execution through change.

Qualifications

• Applied analytics and data science: 7+ years of applied analytics or data science experience.
• Machine learning and AI: Experience with supervised learning and strong capabilities in feature engineering.
• Programming and analytical tools: Expert-level SQL skills and proficiency in Python or R.
• Data engineering and automation: Experience designing automated pipelines for file receipt and processing.
• Data quality and governance: Experience with data profiling, quality metrics, and compliance considerations.
• Entity resolution and geospatial data: Experience with address standardization and matching.
• Insurance and risk-industry knowledge: 3+ years of experience in insurance, credit, or risk analytics.
• Client-facing communication: Experience designing and presenting proof-of-concept results to stakeholders.
• Project and process management: Ability to manage multiple concurrent proofs of concept and production commitments.
• Leadership potential: Ability to influence cross-functional colleagues and mentor junior team members.
• Education: Bachelor's degree in a quantitative field; Master's degree or PhD preferred.

Benefits

• Remote work flexibility.
• Opportunity for professional growth and development.
• Engaging work environment with a focus on innovation.

Company Description

Our client is an insurance technology company that transforms complex, multi-source data into actionable risk intelligence for property and casualty insurers. Its solutions help carriers make faster, more accurate underwriting decisions, reduce premium leakage, improve efficiency, and strengthen portfolio performance.

The company provides unique, proprietary data and analytics to the insurance industry created from the vast experience of the team serving the insurance industry with data and analytics solutions.