Assignment description

We are looking for a senior Data Scientist consultant to develop analytical models and decision-support tools related to electric vehicle asset management, pricing, residual value, lifecycle planning and portfolio risk.

The assignment combines data science, business understanding and practical engineering, with focus on turning complex analysis into scalable and usable solutions. You will work with model development, forecasting, simulations, dashboards and APIs, while supporting data-driven decision-making across business and technical teams.

The role also includes working closely with data engineering to ensure reliable data quality, productionizing models and contributing to analysis and recommendations related to vehicle usage, lifecycle and portfolio risk.

Qualifications:

Must Have:

• Bachelor’s or Master’s degree in data science, computer science, statistics, engineering, economics, or a related field
• Strong Python skills for modelling, data analysis, testing, and production-quality code
• Strong SQL skills and experience working with analytical data platforms
• Experience building models or analytical tools that support real business decisions
• Experience taking ownership from business problem to analysis, model, implementation, and stakeholder adoption
• Cloud experience, such as deploying or operating data products, APIs, scheduled jobs, model services, or similar workloads
• Ability to work with imperfect data and make sound judgements about data quality, assumptions, and business impact
• Practical engineering mindset, with the ability to move from analysis to working tools or services
• Clear communication with both technical and business stakeholders
• English (working language)

Nice To Have:

• Experience with electric vehicles, batteries, telematics, battery health, remaining useful life, leasing, residual value, or asset management
• AWS experience
• Experience with CI/CD, infrastructure-as-code, automated testing, versioning, or monitoring
• Experience with pricing, forecasting, financial modelling, risk metrics, or portfolio analytics
• Experience building internal tools, dashboards, simulations, model APIs, or decision-support applications

You are a senior individual contributor with strong self-leadership and the ability to take initiative and create structure in unclear or evolving problem areas. You have a pragmatic and analytical mindset and are comfortable balancing model quality, speed and business usability to deliver practical and scalable solutions.

You are confident in challenging assumptions in a constructive way and can communicate complex topics clearly to both technical and non-technical stakeholders. You also thrive in smaller teams with broad responsibilities where ownership, initiative and delivery capability are key.

In the role, you are expected to help turn analysis and models into credible, maintainable and usable tools or services, with focus on long-term value and practical implementation.