AI Consultants - Data Science (m/f/d)

We are looking for experienced data scientists to create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and cover the full data science lifecycle – from data acquisition and processing to statistical analysis and actionable business insights.

What You’ll Do

• Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)
• Create problems that require Python programming to solve (using pandas, numpy, scipy, scikit-learn, statsmodels, matplotlib, seaborn)
• Ensure problems are computationally intensive and can’t be solved manually in reasonable timeframes (days/weeks)
• Develop problems that need complex reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction
• Create deterministic problems with reproducible answers – avoid randomness or use 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 covering the full data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)
• Include big data processing scenarios that require 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

Education & Core Experience

• Advanced degree (Master’s or PhD) in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field
• 5+ years of hands-on data science experience with proven business impact
• Portfolio of completed projects and publications showcasing real-world problem-solving

Technical Skills

• Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)
• Statistical analysis and machine learning – deep understanding of algorithms, methods, and their practical applications
• SQL and database operations for data manipulation and analysis

Modern AI/ML (Highly Valued)

• 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)

Professional Skills

• Ability to design problems reflecting real-world business scenarios and industry challenges
• Strong analytical and problem-solving skills with attention to detail
• Experience translating business requirements into technical solutions
• Clear technical writing and documentation skills
• Proficient in English for problem creation and communication

Preferred Qualifications

• Cross-industry experience (finance, telecommunications, healthcare, technology)
• Research background with publications or case studies
• Teaching, mentoring, or training experience
• Professional certifications in data science or machine learning

Application process

• Apply on the FRATCH platform and, if selected, you will be given a short test by our client.