Data Scientist – Consulting Assignment
Workplace: Stockholm, Sverige
Expires: January 25, 2026
We are seeking an experienced Data Scientist for a consulting assignment focused on data and analytics. You will join a team dedicated to developing and delivering advanced data science solutions, supporting the transition period until a permanent hire is made. The role involves practical work with data, analysis, and model development while contributing to the continued growth of the team.
Main requirements:
  • Documented experience in Data Science and Machine Learning
  • Experience working in an agile environment
  • Knowledge of data modeling and mathematical models
  • Experience with AI platform work related to Data Science solutions
  • Good experience with Azure
  • Fluent in Swedish and English, both spoken and written
  • Ability to be onsite in Stockholm 2–4 days per week
Responsibilities:
  • Work with data science and machine learning to develop and implement predictive and analytical models
  • Contribute in an agile team focusing on data modeling, mathematical models, and AI platforms
  • Work with Azure and other relevant technologies to build and optimize data science solutions
  • Lead own use cases and manage task distribution when needed
  • Ensure solutions meet both technical requirements and business needs
  • Participate in continuous improvement of processes and work methods within the team
Required hard skills:
  • Data Science
  • Machine Learning
  • Agile methodology
  • Data modeling
  • Mathematical modeling
  • AI platform experience related to data science
  • Azure platform expertise
  • Swedish language fluency
  • English language fluency
Recommended hard skills:
  • Data Engineering
  • Databricks
  • Knowledge or understanding of the energy business and related platforms
Soft skills:
  • Ability to work in a team
  • Proactive in driving work and use cases
  • Flexible and adaptable to continuous improvement
Natural languages:
  • Swedish (Proficient)
  • English (Proficient)
Cultural skills:
  • Working in an agile cross-functional team environment