Freelance Data Science Engineer (Python & SQL)

Mindrift; Birmingham; On-site; GBP 46,233 - 65,848; Part time

Job summary

Mindrift in Birmingham is looking for an expert Data Scientist to create and solve computational data science problems across industries like finance and healthcare. With a focus on practical application, candidates need a strong portfolio showcasing real-world problem-solving, expert skills in Python, and statistical analysis. This project-based role offers flexible hours, with expected commitments of 10-20 hours per week during active phases and compensation up to $55 per hour.

Qualifications

• 5+ years of hands-on data science experience with proven business impact.
• Portfolio of completed projects and publications showcasing real-world problem-solving.
• Strong understanding of algorithms, methods, and their practical applications.

Responsibilities

• Design original computational data science problems across various industries.
• Create problems requiring Python programming to solve.
• Develop problems requiring non-trivial reasoning chains in data processing.

Skills

Data science experience

Python programming

Statistical analysis

Machine learning

SQL

GenAI technologies

MLOps practices

Modern frameworks (TensorFlow, PyTorch)

Tools

Pandas

Numpy

Scipy

Scikit-learn

Statsmodels

Matplotlib

Seaborn

Job description

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.