Applications are closed for this role. It was originally posted 2026-01-29. It’s no longer accepting applicants — see roles Verkor is still hiring for →, or browse the live openings below.
About this role
- The group leader oversees:
- A Data Science & Data Analysis team (Insights, modelling, experimentation)
- An R&D Prototyping Engineering team (Proof of concept software, technical validation)
- This role focuses on innovation, feasibility, and validation, not long-term production ownership.
- Leadership & Team Management
- Lead, mentor, and grow a team of data scientists, data analysts, and R&D/prototyping engineers
- Set technical direction, priorities and ways of working
- Foster collaboration between analytical and engineering profiles ·
- Foster collaboration with CAE team by giving them inputs to build reduced order models for process
- Ensure high standards of quality, rigor and documentation
- Strategy & Prioritization
- Define and manage the R&D and analytics roadmap aligned with business objectives
- Prioritize initiatives based on, business value, technical feasibility and time to impact
- Balance exploratory research with delivery of concrete outcomes
- Data Science & Analytics Oversight
- Data Exploration and Analysis
- Predictive & statistical modelling
- Ensure insights and models are actionable and decision-oriented.
- R&D Software Prototyping Oversight
- Oversee development of working prototypes that demonstrate feasibility and validate technical approaches
- Ensures prototypes are reproducible, well documented, and sharable with digital/IT teams
- Cross-Functional collaboration
- Act as a key interlocutor with business stakeholders, the product and process R&D team, and the digital/IT teams.
- Ensure smooth handover of validated concepts to production teams
- Masters or PhD in Data Science/Applied mathematics/Statistics
- Minimum of 8 years of experience
- Prior experience in leading multidisciplinary technical teams
- Strong understanding of statistical and machine learning models
- Large-scale data analytics
- Familiarity with modern analytics and prototyping stacks
- Ability to assess technical feasibility and risks
- Ability to align diverse profiles towards shared goals
- Strong ability to translate complex findings into business insights
- Comfortable communicating with senior stakeholders
- Strategic mindset with a focus on impact