Data Scientist (Python & SQL) - Freelance AI Trainer

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

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What This Opportunity Involves

• Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)
• Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn)
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
• Develop problems requiring non‑trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction
• Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility
• Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency
• Design end-to‑end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)
• Incorporate big data processing scenarios requiring scalable computational approaches
• Verify solutions using Python with standard data science libraries and statistical methods
• Document problem statements clearly with realistic business contexts and provide verified correct answers

What We Look For

• 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 (pandas, numpy, scipy, scikit‑learn, statsmodels)
• Expert statistical analysis and machine learning – deep understanding of algorithms, methods, and their practical applications
• Expert with SQL and database operations for data manipulation and analysis
• Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
• Understanding of MLOps practices and model deployment workflows
• Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
• Strong written English (C1+)

How It Works

Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

Project Time Expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.