Job Overview: A top P&C insurance firm is seeking an experienced and visionary Data Scientist Manager, Business Performance Analyst to join their team. The successful candidate will play a crucial role in driving data-driven decision-making processes, developing advanced analytic solutions, and implementing cutting-edge data science methodologies. This leadership position requires a blend of technical expertise, strategic thinking, and effective team management.
Responsibilities:
- Leadership and Strategy:
- Collaborate with senior leadership to identify opportunities for leveraging data to drive business outcomes.
- Project Management:
- Oversee end-to-end data science and analytic projects from conception to implementation.
- Technical expertise:
- Stay abreast of industry trends, emerging technologies, and best practices in data science and analytics. Provide technical guidance and support.
- Collaboration:
- Collaborate with cross-functional teams, including IT, Finance, Business Intelligence, and other stakeholders, to integrate data science solutions into existing business processes.
- Innovation:
- Drive innovation by exploring and implementing advanced analytic techniques, machine learning models, and artificial intelligence to solve complex business challenges.
Qualifications:
- Bachelor's degree in data science, Statistics, Economics, Business Administration, or related field.
- Minimum of 3 years of experience in data analysis, or related experience working in P&C industry (knowledge of insurance products and concepts).
- Proficiency with data analysis tools (e.g., SQL, R, Python) & business intelligence platforms (e.g., Tableau, Power BI).
- Proven experience in a leadership role within a data science or analytics team.
- Strong expertise in statistical modeling, machine learning, and data visualization.
- Excellent communication skills with the ability to convey complex technical concepts to non-technical audiences.
- Solid project management skills with a track record of delivering successful data science projects.
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Retirement savings plan with employer contributions.
- Professional development opportunities and ongoing training.
- Flexible work arrangements.
