Arch Capital is seeking a talented Data Scientist with AI expertise to develop cutting-edge machine learning models that enhance risk assessment and predictive analytics in the insurance sector. This remote contract role offers the opportunity to work on impactful projects that drive data-informed decisions in a dynamic financial environment.

Arch Capital, a leading global insurer and reinsurer, is looking for a skilled Data Scientist with a specialization in AI to join our innovative data analytics team. In this role, you will apply advanced AI techniques to solve complex problems in risk management, underwriting, and customer insights, ultimately contributing to the company's strategic goals.

Key responsibilities include collecting and preprocessing large datasets from various sources, developing and deploying machine learning models to predict insurance risks and trends, and collaborating with cross-functional teams to integrate AI solutions into business processes. You will also conduct exploratory data analysis to uncover actionable insights, optimize model performance using techniques like hyperparameter tuning and feature engineering, and stay abreast of the latest advancements in AI to ensure our approaches remain at the forefront of the industry.

This position requires a passion for leveraging data to drive business value in the fast-paced finance and insurance domain. If you thrive in a remote setting and are excited about using AI to transform financial services, we encourage you to apply.

• Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or a related field
• 3+ years of experience in data science roles, with a focus on AI and machine learning
• Proficiency in Python, R, or similar programming languages, and frameworks like TensorFlow, PyTorch, or scikit-learn
• Strong knowledge of statistical analysis, data mining, and machine learning algorithms
• Experience with big data technologies such as SQL, Hadoop, or Spark
• Familiarity with AI applications in finance or insurance, including predictive modeling and natural language processing
• Excellent problem-solving skills and ability to communicate complex findings to non-technical stakeholders
• Experience with cloud platforms like AWS, Azure, or Google Cloud is a plus

• Competitive monthly salary based on experience
• Flexible remote work schedule to support work-life balance
• Opportunities for professional development and skill enhancement in AI technologies
• Access to cutting-edge tools and datasets for innovative projects
• Collaborative team environment with mentorship from senior data scientists
• Health and wellness benefits package, including medical and dental coverage
• Paid time off and holiday allowances
• Potential for contract extension or full-time opportunities based on performance