Job Description
We are looking for a senior Data Scientist consultant to develop analytical models and decision-support tools for electric vehicle asset management, pricing, residual value, lifecycle planning, and portfolio risk.
The assignment combines data science, business understanding, and practical engineering. The consultant should be able to take ownership of broad and sometimes ambiguous problems, turn analysis into usable tools or model services, and communicate results clearly to both technical and non-technical stakeholders.
Prior experience from electric vehicles, batteries, leasing, or asset management is valuable, but not required. The most important requirements are strong data science capability, practical implementation skills, and senior judgement.
Responsibilities
Develop and maintain models for usage, remaining useful life, residual value, pricing, lifecycle forecasting, and portfolio risk
Translate operational vehicle and business data into practical recommendations
Define, test, and document model assumptions, limitations, and uncertainty
Build analytical prototypes, simulations, dashboards, APIs, or other decision-support tools
Work with data engineering to ensure reliable data, data quality checks, and trustworthy outputs
Productionize models through scheduled jobs, cloud functions, APIs, tests, versioning, and monitoring where relevant
Support customer, finance, sales, product, and partner discussions with clear data-driven analysis
Create structure in ambiguous problem areas and help drive work forward in a small team
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
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
Language
English (working language)
Personal / Soft Skills
Senior individual contributor with strong self-leadership
Takes initiative and creates structure in unclear problem areas
Pragmatic and analytical
Able to balance model quality, speed, and business usability
Able to challenge assumptions constructively
Communicates complex topics clearly
Comfortable working in a small team with broad responsibilities
Other Specifications
The consultant is expected to help turn analysis and models into credible, maintainable, and usable tools or services
The role requires senior judgement, ownership, and delivery capability more than narrow prior domain knowledge