Data Scientist within Jellyfish’s Cloud and Martech practice designing measurement and predictive analytics solutions that improve client performance. Engage with complex data challenges to assist in strategic decision - making.
AL
Hybrid Director, Strategic Analytics – Data Science
Posted last week
About the role
- Director of Strategic Analytics driving decision-making at Arch Capital with best-in-class predictive models and cross-functional collaboration. Focus on enhancing analytics capabilities and mentoring data scientists.
Responsibilities
- Establish strong relationships with business partners to understand the problems they are trying to solve and work to implement the best-suited analytics solutions
- Build predictive models using advanced analytics techniques including GLM, text analytics, and machine learning
- Lead initiatives that automate manual or inefficient business processes, increasing underwriter and partner productivity using GenAI and prompt engineering
- Develop powerful insights and tools using a variety of analytical techniques and technologies
- Translate complex data into clear narratives, steering committees, and action plans that support underwriting, distribution, and portfolio strategies
- Support the implementation of the analytics solutions that you develop
- Establish robust monitoring processes for implemented solutions and provide regular feedback to business partners
- Collaborate in cross-functional teams and share ideas to solve complex business problems
- Build strong partnerships with peers across the organization to support project goals and broader team needs
- Partner directly with senior business leaders to understand strategic priorities and develop analytics driven insights that influence decision making
- Discover, explore, and analyze internal and external datasets for the purpose of developing robust analytics solutions
- Provide thought leadership on new, innovative techniques, approaches and software
- Guide, support, mentor and develop the growing team of predictive modelers and data scientists
- Advance the analytics team practices, processes, and documentation and continue to enhance existing tools and infrastructure in partnership with the data engineering, implementation engineering, data visualization, and data science teams
Requirements
- 6+ years’ experience in analytics role in P/C insurance, preferably commercial lines
- Detailed understanding of statistical theory, predictive modeling, data mining and other advanced analytical techniques
- Strong SQL and Python skills are a must
- Proven hands-on experience developing generalized linear models in a commercial lines setting including loss ratio, frequency/severity, pure premium, claims modeling
- Familiarity with a variety of other advanced analytics techniques is preferable, for example: decision trees, clustering, text mining, random forests, survival analysis, etc
- Track record of delivering significant business value from small or non-standard data sets
- Data analytics experience in mining, analyzing, and interpreting data through various statistical techniques
- Evidence of analytical skills, problem solving, business acumen, and strong critical thinking
- Excellent verbal and written communications skills; ability to convey complex concepts to people across the organization
- Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces
- Exceptional teamwork skills required to play a key role in cross-functional teams
- Ability to collaborate and build trusting relationships with business partners
- Demonstrated execution and organization skills – task management, time management, and project management
Benefits
- multiple medical plans plus dental, vision and prescription drug coverage
- a competitive 401k with generous matching
- PTO beginning at 20 days per year
- up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer
- basic Life and AD&D Insurance as well as Short and Long-Term Disability
- Paid Parental Leave of up to 10 weeks
- Student Loan Assistance and Tuition Reimbursement
- Backup Child and Elder Care
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Manager, Data Science leading a team in analytics and machine learning at QVC Group. Involves managing projects across retail, customer experience, and finance.
Principal Product Data Analyst at Adobe focusing on product analytics and decision support. Integrating data products that enhance user experience and drive product innovation.
Data Scientist at a banking company in São Paulo. Focused on process optimization and data analysis to enhance decision making and customer behavior predictions.
Senior Data Scientist responsible for developing models for banking optimization and analyzing large datasets. Collaborating with multiple teams to provide strategic insights and mentorship.
Data Scientist transforming complex data into useful solutions to global challenges at Booz Allen. Leveraging IoT, machine learning, and AI to provide impactful insights.
Product Owner managing the Collibra platform for Arch Capital Group. Leading development, training, and stakeholder engagement for effective usage.
Data Science Manager overseeing Data Science and ML Engineers at Wayflyer. Leading ML lifecycle from data preparation to deployment while collaborating with cross - functional teams.
Senior Data Scientist at Epicor responsible for designing, building, and deploying ML solutions that empower customers. Collaborating across teams to ensure ML solutions deliver measurable value.
Principal Data Scientist at Epicor leading advanced analytics and AI strategies across product ecosystems. Guiding teams, shaping architecture, and delivering impactful analytics solutions.