[Hiring] Data engineer/Data scientist @Raw Ventures

Role Description

We are looking for a mid-to-senior data professional who can operate across both data engineering and data science.

• Design, build, and maintain data pipelines and data models across projects
• Build and maintain Power BI dashboards and reporting systems
• Develop and deploy classical machine learning models (e.g. regression, classification, clustering)
• Perform data cleaning, transformation, and validation across multiple sources
• Conduct exploratory data analysis (EDA) to identify trends and opportunities
• Create automated reporting and analytics workflows
• Work across varied use cases (e.g. growth analytics, operations optimization, fraud detection, forecasting)

Qualifications

• 3–7+ years experience in data engineering, data science, or analytics
• Strong proficiency in:
  • Python (pandas, scikit-learn, etc.)
  • SQL
• Experience with Power BI (must-have)
• Solid understanding of classical machine learning techniques (e.g. regression, decision trees, clustering, time-series)
• Experience building data pipelines / ETL workflows
• Strong data modeling and analytical thinking

Requirements

• Familiarity with cloud platforms (AWS / GCP / Azure)
• Experience with dbt / Prefect or similar tools
• Exposure to modern data stack tools
• Experience with maritime logistics / shipping data

Location

London (Remote)

Department

IT

Employment Type

Full-Time

Minimum Experience

Experienced