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Aqilea (formerly Soltia)

Data Scientist

Aqilea (formerly Soltia) Stockholm, Sweden

IT Services and IT Consulting · 51-200 employees

17 h ago
data-scientist Senior (5-10 yrs) Contractor Sweden
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About the role

The candidate will be responsible for developing and deploying machine learning and LLM-based applications in the cloud. They will also lead AI projects and manage stakeholders while translating complex concepts into business insights.

What they look for

Data Science Machine Learning MLOps CI/CD GCP SQL Data Wrangling Vector Databases Embedding Models DBT LLM Prompt Engineering Python PyTorch TensorFlow LangChain

Requirements

The role requires at least 5 years of experience in data science or applied machine learning with strong proficiency in Python and ML frameworks. Candidates must have hands-on experience with MLOps, CI/CD pipelines, and SQL for data manipulation.

Full description

Role: Data Scientist Job Ref Id: JD-1314 Competence level: 5+ Start date: 2026-11-15 End date: 2027-06-30 Extension option: Yes Scope: 100% Location: Stockholm Remote work: 2 days per week Language: English Application deadline: 2026-11-08 Number of consultants: 1 Security clearance: No

 

About the assignment

We are looking for a candidate with experience in data science and applied machine learning. 

Requirements

Mandatory

  • 5+ years of experience working in data science or applied machine learning.
  • Strong theoretical and practical knowledge in statistics and machine learning.
  • Proven experience developing and deploying ML models in the cloud (beyond notebook-based coding and execution).
  • Hands-on experience with MLOps and CI/CD pipelines, ideally on GCP.
  • Strong SQL skills for data manipulation and analysis.
  • Ability to understand diverse data sources and build robust data wrangling and aggregation pipelines.
  • Practical experience with vector databases and embedding models.
  • Familiarity with DBT or other data transformation tools.
  • Hands-on experience building and deploying ML and LLM based applications, retrieval pipelines, and prompt engineering.
  • Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, LangChain, or similar.
  • Proven experience leading AI projects and stakeholder management.
  • Excellent communication skills with the ability to translate complex AI concepts into business-relevant insights.

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