• Responsible for end-to-end delivery of data management services • Collaborate with internal and external customers • Ensure staff deliver high quality, timely service and meet all regulatory requirements • Hire, manage staff performance, utilization, retention, process improvements • Financial management for assigned projects

Role Description At Liberty, our Personal Lines Property & Specialty Product team partners across the company to design and launch home and specialty insurance solutions — from homeowners (property) and condos to renters and other niche lines (specialty)— that meet evolving customer and agent needs. We focus on preparing and executing program rollouts, delivering on our growth roadmap, and modernizing pricing and the technology that supports the work we do. Organized into five functions—State Management, Development, Delivery, Underwriting Effectiveness, and Specialty—we collaborate closely to meet our goals and help customers feel secure today and confident about tomorrow. We are looking for a motivated, analytically driven professional to join the US Property & Specialty Delivery Monitoring team as a Property & Casualty Pricing Insights Advisor. In this role, you will have a direct opportunity to influence and shape our newest homeowners pricing programs through rigorous evaluation of program performance, clear articulation of risk, and actionable recommendations backed by data and sound business judgment. This is a high-visibility, fast paced role with regular exposure to senior and executive leadership. You Will Be Responsible For: - Monitoring the implementation and performance of new pricing programs at both the state and program level, with a focus on key metrics including conversion rates, average quoted premium, segmentation trends, and profitability indicators. - Applying business acumen to translate complex, ambiguous analysis into clear findings and business impact. - Telling a story with data — informing and influencing stakeholders across Delivery, Risk Analytics, Underwriting, and State Management teams. - Delivering executive-level updates through recurring newsletters, memos, and presentations; synthesizing inputs from multiple teams into a single, cohesive narrative. - Building and maintaining monitoring frameworks, guardrails, and quality control processes that support consistent, repeatable program evaluation. - Supporting prioritization of analytical work based on urgency, materiality, and business impact — distinguishing signals that require action from normal market noise. - Leading development of team processes, tools, and analytical capabilities. Qualifications - Bachelor's degree in business, information management, economics, or other quantitative field. Master’s degree preferred. - Minimum 4 years, typically 6 years or more of relevant work experience. - Knowledgeable in data query languages and tools; proficient in new and emerging technologies; may possess data modeling skills. - Highly developed communication and presentation skills. - In-depth knowledge of data concepts, strategies, and methodologies. - In-depth knowledge of data architectures, solutions and designs; extensive knowledge of business operations, strategies and objectives. - Highly developed negotiation, facilitation and consensus building skills. Requirements - Insurance product or pricing knowledge — familiarity with insurance products and pricing mechanics, rate calibration, segmentation, and the pricing program lifecycle is strongly preferred. - Strong analytical and quantitative skills — ability to work with large, complex datasets to identify trends, draw meaningful conclusions, and support data-driven decision making. - Sound business judgment — ability to prioritize findings by impact, operate confidently with limited or noisy data, and recommend clear next steps under uncertainty. - Technical proficiency — advanced Excel, Power BI, and the ability to query and manipulate data using SQL, Python, and/or Snowflake. - Executive communication skills — proven ability to write clearly and concisely for senior audiences, translating data into decision-ready insights. - Cross-functional effectiveness — track record of driving workstreams forward, building alignment across teams, and influencing without direct authority. - Curiosity and intellectual rigor — a natural problem solver who asks the right questions, challenges assumptions, and digs deeper when results don't add up. Benefits - Comprehensive benefits. - Workplace flexibility. - Professional development opportunities. - Opportunities provided through Employee Resource Groups.

• Lead and architect the research strategy for applying AI to cybersecurity. • Drive innovation in AI applications, including novel approaches to reasoning, summarisation, and interactivity • Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies • Implement cutting edge ML/AI research in the context of cybersecurity • Build production ready AI systems that operate at CrowdStrike’s massive scale. • Mentor and guide scientists while fostering a culture of engineering excellence • Lead cross-functional initiatives and collaborate with senior leadership to align technical strategy with business goals • Represent CrowdStrike's technical excellence through publications, speaking engagements, and thought leadership • Establish best practices, technical standards, and evaluation frameworks for the team

Role Description We are seeking a dynamic and innovative Senior Data Scientist to join our forward-thinking team. In this pivotal role, you will leverage data to drive operational excellence and spearhead the development of sophisticated machine learning models. Collaborate with top-tier Machine Learning and Data Engineers to bring these models into production and provide AI expertise across the organization, ensuring data-driven decision-making and innovative solutions. Qualifications - 5+ years of hands-on experience in data science and machine learning, with a proven portfolio of impactful projects. - Experience in training tabular and time-series models using classical machine learning and deep learning approaches. - Proficiency in building data pipelines, training models, and conducting experiments using industry-standard tools. - Advanced SQL skills, including the ability to debug complex queries and a solid understanding of OLTP vs. OLAP systems (experience with OLAP systems is a plus). - Exceptional analytical skills with a detail-oriented and innovative approach to challenges. - Strong verbal and written communication skills to collaborate effectively within a team. Requirements - Experience with cloud platforms (AWS, GCP, Azure) and container tools like Kubernetes. - Expertise in ML pipeline development, including data preprocessing, model training, deployment, and monitoring. - Familiarity with MLOps tools like MLflow or Feast. - Hands-on experience with large-scale OLAP systems such as Clickhouse, BigQuery, or Snowflake. - Knowledge of advanced techniques for handling imbalanced datasets and other complex modeling challenges. Responsibilities - Design, execute, and evaluate experiments to refine models and improve outcomes. - Create, validate, and maintain state-of-the-art algorithms, focusing on both tabular and time-series data. - Perform deep-dive data analysis and deliver actionable insights to shape our business strategies. - Work closely with cross-functional teams to align data science projects with company goals. - Keep up with the latest advancements in data science, cloud technologies, and DevOps. - Write, debug, and optimize complex SQL queries while effectively navigating OLAP and OLTP systems. Benefits - Competitive salary (€6,500 - €9,000 gross, depending on the level of experience). - Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. - Enjoy a flexible, remote-first global environment. - Equity options. - Private health insurance. - Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. - Spend 10% of your work time on personal projects or self-improvement. - Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. - Annual hackathon to spark new ideas and strengthen team bonds. - Team-building budget and company events to connect with your colleagues. - Equipment budget to ensure you have everything you need. - Extra days off to help maintain a healthy work-life balance.