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Senior P&C Insurance Data Scientist opening in Atlanta. Lead team of data analysts and data engineers in designing/maintaining Machine Learning and AI solutions; collaborate with IT, Legal, and Claims teams to identify new analytical projects to increase profitability; gather data from internal stakeholders using Python, SQL, Tableau, and Power BI. Ideal candidate has 8+ years of Data Science/Predictive Modeling experience in a P&C insurance setting, including extensive background in Python, SQL, and Git. (PR13082)

Job Description Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world? Learn more about our unique culture and history. Job Opportunity: Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business. The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities. Duties & Responsibilities: • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets., • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk., • Work with domain experts across teams and perils to enhance our use of available data., • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions. Qualifications, Skills and Experience: • Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field, • 3-6 years of industry experience is preferred and required for the Senior Data Scientist level role, • Advanced knowledge of probability theory, statistics, and machine learning methods is required, • Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred, • Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data, • Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus, • Strong written and verbal communication skills, • Strong programming skills in Python (preferred), R, and SQL, • Experience and understanding of relational and non-relational databases preferred, • Comfort working within git-based version-control environments, • Experience with Databricks or other cloud-based data and analytics platforms preferred, • Highly motivated, detail oriented, and team player BHSI Offers: • A competitive package and exciting growth opportunities for career-oriented teammates., • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders., • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework., • Benefits that support your life and well-being, which include:, • Comprehensive Health, Dental and Vision benefits, • Disability Insurance (both short-term and long-term), • Life Insurance (for you and your family), • Accidental Death & Dismemberment Insurance (for you and your family), • Flexible Spending Accounts, • Health Reimbursement Account, • Employee Assistance Program, • Retirement Savings 401(k) Plan with Company Match, • Generous holiday and Paid Time Off, • Tuition Reimbursement, • Paid Parental Leave The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture. NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

Candescent is a forward-thinking technology company transforming how financial institutions deliver Intelligent Banking experiences. We unite digital banking, account opening, and branch solutions that power and connect digital banking, account opening, and branch solutions—creating seamless engagement across digital, remote, and in-person channels. Our Experience-Led, Intelligence-Driven approach combines human-centered design with data, automation, and cloud-based innovation. Built on an API-first architecture, our extensible ecosystem enables institutions to adapt quickly, integrate easily, and unlock new opportunities for growth—turning every customer interaction into a moment of clarity, confidence, and connection. The Executive Director of Product Security at Candescent will lead the strategic direction, development, and execution of the enterprise-wide product and application security program with specialized focus on Candescent's SaaS products serving regulated enterprises. This role is responsible for embedding security into the software development lifecycle (SDLC) and AI development lifecycle (AIDLC), partnering with engineering, product data science, AI/ML engineering, and infrastructure teams to ensure secure software design, development, and deployment of Candescent applications. The ideal candidate will be a visionary leader with deep technical expertise in securing software development lifecycles, shift-left security, AI/ML application security, strong business acumen, regulatory compliance awareness, and a proven track record of building and scaling secure development practices in complex SaaS and AI-driven environments. Key Responsibilities and Deliverables Strategic Leadership • Define and drive the product, application and AI/ML security strategy aligned with Candescent's business and risk objectives for regulated enterprise clients., • Lead the development and execution of secure SDLC and AI development lifecycle (AIDLC) practices across all engineering and data science teams., • Serve as a trusted advisor to senior leadership on application security risks, AI/ML security risks, platform security, model governance, trends, and mitigation strategies., • Participate in the establishment of AI security governance frameworks that meet regulatory requirements (EU AI Act, NIST AI RMF, ISO 42001)., • Develop security strategies for supply chain, third-party integrations, LLM/GenAI implementations, and SBOM generation (Software Bill of Materials). Program Development & Execution • Build and mature the application security program, including threat modeling, secure coding, code reviews, and security testing across traditional applications and AI/ML systems., • Develop and maintain security standards, policies, and guidelines for secure application development, secure code repository controls, and associated AI model integration., • Oversee the integration of security tools (SAST, DAST, SCA, IAST, RASP) and AI security tools (model scanning, adversarial testing, data poisoning detection, model monitoring) into CI/CD and ML pipelines., • Implement industry leading DevSecOps practices and secure AI pipeline architectures., • Establish data governance and privacy controls for development and training data, including sensitive data handling and data lineage tracking. Collaboration & Enablement • Partner with Information Security, DevOps, Engineering, Data Science, ML Engineering, and Product teams to ensure security is embedded early and continuously., • Lead security champions programs for developer and data scientist training initiatives to foster a security-first culture with security awareness., • Collaborate with GRC, Risk, and Compliance teams to ensure regulatory and policy alignment specific to regulations and industry-specific requirements that apply to product and application development (HIPAA, SOC 2, GDPR, CCPA, AI, etc.)., • Work closely with customer-facing teams to address client product security requirements and regulatory audit needs., • Partner with legal and compliance teams on relevant product security and AI compliance. Risk Management & Incident Response • Identify and prioritize application and AI security risks through assessments, penetration testing, red teaming, and threat intelligence., • Conduct specific risk assessments including adversarial attacks, threat modeling, prompt injection, data exfiltration risks, etc., • Lead response efforts for application-related and AI security incidents and vulnerabilities., • Provide executive-level reporting on application and AI security posture, KPIs, and risk metrics with regulatory reporting capabilities., • Participate in third-party vendor security assessments and AI supply chain risk when required. Qualifications and Experience • Bachelor's degree in computer science, Information Technology, or equivalent., • 10+ years of experience in cloud-first software development environments with an information security focus, with at least 5 years in product security leadership roles., • Deep understanding of modern application architectures (e.g., microservices, containers, APIs, cloud-native) and AI architectures., • Hands-on experience with secure coding practices, threat modeling, and vulnerability management including AI specific threat modeling., • Proficiency with security tools such as SAST, DAST, SCA, and container security platforms plus AI security tools., • Strong knowledge of OWASP Top 10, OWASP ML Top 10, OWASP LLM Top 10, CWE, CVE, and secure development frameworks., • Experience working in Agile/DevOps environments and integrating security into CI/CD and ML pipelines., • Proven ability to lead cross-functional teams and influence at all levels of the organization., • Deep understanding of regulatory compliance requirements for SaaS products serving highly regulated industries. Preferred Distinctions • Advanced degree in Computer Science, Cybersecurity, or related field., • Relevant industry and/or security certifications as a plus., • Experience with cloud security (AWS, Azure, GCP) and infrastructure-as-code security. #J-18808-Ljbffr

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The Principal Data Scientist is a senior individual contributor responsible for defining and leading advanced analytical approaches to complex and ambiguous business problems.This role shapes modeling strategy and technical direction for high‑impact analytics initiatives, primarily supporting Rest

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