Arbetsbeskrivning

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results.

We are now seeking a Data Analyst for one of our clients.

About the assignment:

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 Education (Must Have / Nice To Have) Must Have:

Bachelor's or Master's degree in data science, computer science, statistics, engineering, economics, or a related field Experience (Must Have / Nice To Have) Must Have:

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

Other Information:

Start Date: ASAP

Assignment Period: 6 Months

Location: Sweden\Stockholms län, \Stockholm (STOCKHOLM)

Last date to apply: 2026-06-01

Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us.

Please apply directly through our system with:

- Your updated CV in english

- Availability to start the assignment

In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities.

Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid.

Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.