Project details
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AI Consultants - Data Science (m/w/d)
We are seeking 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 mirror 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 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
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- Create problems that require Python programming to solve
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
- Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches
- Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn)
- Document problem statements clearly and provide verified correct answers
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Key responsibilities:
- Evaluate AI models for chemistry applications.
- Analyze model outputs and provide feedback for improvement.
- Collaborate with the development team to ensure alignment with industry standards.
- Document findings and recommendations for model optimization.
- Conduct tests to validate model performance and reliability.
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- Create problems requiring Python programming to solve (using numpy, scipy, sympy).
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).
- Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis.
- Base problems on real research challenges or practical applications from mathematical practice.
- Verify solutions using Python with standard mathematical libraries.
- Document problem statements clearly and provide verified correct answers.
Support in:
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- Combinatorics: Enumerations, partitions, generating functions, combinatorial optimization.
- Graph Theory: Network analysis, path finding, graph coloring, spanning trees.
- Numerical Analysis: Root finding, numerical integration, differential equations, matrix computations.
- Discrete Mathematics: Recurrence relations, algorithmic complexity, discrete optimization.
- Algebra: Polynomial computations, group theory calculations, matrix decompositions.
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Physicist with Python Experience (m/w/d)
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- Base problems on real research challenges or practical applications from physical practice.
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This is a remote part-time role that can be flexibly tailored to your availability – from just a few hours per week to full-time.
Key responsibilities:
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- Identifying inconsistencies, missing assumptions, or unclear decision points.
- Helping define clear expected behaviors (gold standards) for AI agents.
- Annotating cause-effect relationships, reasoning paths, and plausible alternatives.
- Thinking through complex systems and policies as a human would to ensure agents are tested properly.
- Working closely with QA, writers, or developers to suggest refinements or edge case coverage.
AI Evaluation Consultant (m/w/d)
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- Evaluate AI outputs and processes
- Ensure quality, accuracy, and reliability
- Identify logical errors, risks, and structural inconsistencies
- Provide actionable insights and recommendations to the team
Ideal candidates:
- Consultants, auditors, analysts, data researchers, or business/technical analysts with strong reasoning skills
- Professionals curious about AI, process improvement, and quality evaluation
- Problem-solvers who enjoy analyzing complex systems, logic, and scenarios
Key Responsibilities:
- Lead evaluation of AI outputs and related processes
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- Provide structured, actionable recommendations to engineers, domain experts, and managers
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Freelance Electrical Engineer with Python Experience (m/w/d)
Generative AI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills.
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GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Chemistry, you’ll have the opportunity to collaborate on these projects.
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Generative AI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills.
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GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Biology, you’ll have the opportunity to collaborate on these projects.
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- Evaluating and detailing the residual risk remaining after potential implementation of the identified risk mitigation measures.
Frontend developer to HR platform with Angular experience
Reach out to us if you are interested in working with us on the project.
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AI Consultants - Data Science (m/w/d)
Industries
Information Technology (IT)
Professional Services
Areas
Business Intelligence
Research and Development (R&D)
Project info
- Period22.12.2025 - 21.02.2026
- Capacityfrom 5%
- Daily rate320 - 400€
- LocationMunich, Germany
- Language
- English(Advanced)
- English
- Remotefrom 95%
Description
We are seeking 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 mirror 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 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
Requirements
Education & Core Experience
- Advanced degree (Master's or PhD) in Data Science, Statistics, Mathematics, Computer Science, or 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 you are being selected you will be provided with a short test by our client.
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