Contract Data Scientist: Python, SQL & ML for AI Projects

Mindrift; Greater London; Remote; GBP 20,691 - 62,073; Part time

Job summary

A project-based AI solutions company is seeking experienced data scientists to design and create computational data problems across multiple industries, utilizing expert Python programming and advanced statistical analysis. This opportunity involves project-based work with flexible hours, offering compensation up to $55 per hour based on contributions. Ideal candidates will have a strong portfolio showcasing real-world problem-solving and in-depth knowledge of modern data science methodologies.

Qualifications

• 5+ years of hands-on data science experience with proven business impact.
• Portfolio of completed projects and publications showcasing real-world problem-solving.
• Expert Python programming for data science.
• Strong statistical analysis and expertise in machine learning.

Responsibilities

• Design original computational data science problems across various industries.
• Create problems requiring Python programming to solve.
• Develop problems needing complex reasoning chains in data processing.
• Ensure deterministic problems with reproducible answers.
• Verify solutions using Python with standard data science libraries.

Skills

Python programming (pandas, numpy, scipy, scikit-learn)

Statistical analysis

Machine learning

SQL for database operations

GenAI technologies (LLMs, RAG, prompt engineering)

MLOps practices

TensorFlow

PyTorch

Strong written English (C1+)

Job description

A project-based AI solutions company is seeking experienced data scientists to design and create computational data problems across multiple industries, utilizing expert Python programming and advanced statistical analysis. This opportunity involves project-based work with flexible hours, offering compensation up to $55 per hour based on contributions. Ideal candidates will have a strong portfolio showcasing real-world problem-solving and in-depth knowledge of modern data science methodologies.