Junior Data Scientist

We are sharing a specialised remote consulting opportunity for Data Scientists and Quantitative Professionals with expertise in Python, machine learning, statistics, data analysis, and experimentation to contribute their technical knowledge to advanced AI training and evaluation initiatives. Selected professionals will evaluate AI-generated solutions to statistical, machine learning, and quantitative problems, develop expert-level evaluation tasks, and identify methodological errors in complex analytical reasoning. The work combines practical data science experience with statistical validation, experimental design, and structured technical feedback to improve how advanced AI systems approach quantitative analysis and problem-solving. Key Responsibilities - Data Science & Quantitative Evaluation - Evaluate AI-generated solutions to data science, statistical, and quantitative problems. - Assess the correctness and completeness of analytical methodologies and conclusions. - Identify flawed assumptions, computational errors, and weaknesses in quantitative reasoning. - Apply statistical and mathematical principles to evaluate technical problem-solving approaches. - Provide accurate assessments of AI performance across relevant data science tasks. - Machine Learning & Statistical Analysis - Review AI-generated machine learning approaches, modelling decisions, and analytical outputs. - Evaluate the appropriate application of statistical methods and machine learning techniques. - Identify methodological weaknesses involving model selection, statistical inference, and interpretation. - Assess whether quantitative conclusions are supported by the underlying calculations and assumptions. - Apply practical knowledge of machine learning and statistics to improve evaluation quality. - Experimentation & Analytical Reasoning - Evaluate experimental designs, analytical workflows, and statistical testing approaches.