About The Position Joining Planck means working in a dynamic startup environment, while benefiting from the resources and maturity of a market leader like Applied Systems. We foster an inclusive culture that supports professional development and work-life balance. At Planck, you’ll be at the cutting edge of technology, shaping the future of insurance while advancing your career within the larger framework of Applied Systems.
We are seeking an with a strong technical orientation and a passion for data-driven problem solving. In this role, you’ll partner closely with our to define and deliver cutting-edge data capabilities for new products. You’ll serve as the bridge between data scientists and external stakeholders—ensuring solutions align with real-world user needs and meet product requirements.
Why This Role Matters
- Core Data Impact : You’ll define how advanced data capabilities shape our new and existing products, influencing the technical direction and value proposition of our offerings.
- Strategic Collaboration : By working directly with data scientists, you’ll help convert complex research findings into product features that solve real-world business challenges.
- High Ownership & Visibility : Your insights will drive key decisions and shape our company’s trajectory in pioneering innovative insurance solutions.
What will you do?
- Own Data Science Capabilities: Oversee and prioritize the development of new data features and models, from concept through implementation. Collaborate with data scientists to set clear success metrics for each capability.
- Translate Needs into Requirements: Act as the point person between data science and the “outside world,” collecting insights on market and user requirements, then refining them into actionable product definitions and success criteria.
- Hands-On Collaboration: Work side-by-side with data scientists to conduct error analyses, identify technical bottlenecks, and propose solutions—continuously iterating on data outputs to ensure real-world applicability.
- Strategic Alignment: Coordinate with R&D leaders, go-to-market teams, and other stakeholders to balance technical feasibility with product timelines, ensuring data science deliverables match broader business goals.
- Problem Solving & Innovation: Brainstorm and conceptualize new data-driven solutions, guiding research and development efforts to expand our capabilities in ways that resonate with user needs.
- KPI Management: Own and track key performance indicators, primarily the on-time, requirements-aligned delivery of new data science capabilities.