Data Science & Quantitative Ai Evaluation Specialist

Gramian Consulting Group

New Zealand

On-site

NZD 90,000 - 150,000

Full time

11 days ago

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Job summary

Gramian Consultancy is seeking Data Scientists and Quantitative Professionals to evaluate and improve next-generation AI models. You will assess AI-generated solutions, design prompts and datasets, and identify statistical errors while explaining complex concepts with clarity.

The role targets professionals with experience in technology, finance, or research who can convey technical ideas effectively and provide actionable feedback for model improvement.

Qualifications

  • At least one year at a top company (tech, finance, or research) and 3 years total DS/SWE experience.
  • Bachelor’s degree in DS/SWE (or related) from US/CA/AU/NZ/UK.
  • Foundational knowledge in data science, statistics, ML, or quantitative analysis.
  • Strong analytical and critical-thinking skills; able to spot errors in data-driven reasoning.
  • Excellent written English and ability to explain technical concepts clearly.
  • Residence in an English-speaking country.

Responsibilities

  • Evaluate AI-generated outputs across data science, statistics, ML, experimentation, and quantitative problem-solving.
  • Create expert-level prompts, datasets, and reference solutions for AI training and evaluation.
  • Identify flawed methodologies, statistical inaccuracies, unsupported assumptions, and weaknesses in quantitative reasoning.
  • Assess the correctness, reliability, and clarity of analytical approaches and conclusions.
  • Provide structured, evidence-based feedback to help improve AI model capabilities.
  • Apply consistent evaluation criteria and communicate technical findings clearly.

Skills

Data science fundamentals
Statistical reasoning
Analytical thinking

Education

Bachelor’s degree in DS/SWE or related

Job description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

About the Role

We are looking for Data Scientists and Quantitative Professionals to help evaluate and improve next-generation AI models. You will assess AI-generated solutions to problems involving statistics, machine learning, experimentation, and quantitative reasoning. You will also create challenging prompts, datasets, and verified reference solutions while identifying methodological flaws, statistical errors, and weaknesses in analytical reasoning. This role is ideal for candidates with relevant professional experience in technology, finance, or research who can communicate technical concepts clearly.

Key Responsibilities

Evaluate AI-generated outputs across data science, statistics, machine learning, experimentation, and quantitative problem-solving.

Create expert-level prompts, datasets, and reference solutions for AI training and evaluation.

Identify flawed methodologies, statistical inaccuracies, unsupported assumptions, and weaknesses in quantitative reasoning.

Assess the correctness, reliability, and clarity of analytical approaches and conclusions.

Provide structured, evidence-based feedback to help improve AI model capabilities.

Apply consistent evaluation criteria and communicate technical findings clearly.

Requirements

  • At least one year of experience working at a top company (tech, finance, or research), and 3 years of experience (overall) working in DS/SWE
  • To hold a Bachelor’s degree on DS/SWE (or related) from any university in US/CA/AU/NZ/UK
  • Foundational knowledge of data science, statistics, machine learning, or quantitative analysis.
  • Strong analytical and critical-thinking skills, with the ability to identify errors in data-driven reasoning.
  • Excellent written English and the ability to explain technical and statistical concepts clearly.
  • Ability to evaluate complex problems systematically and provide accurate, well-supported feedback.
  • Current residence in an English-speaking country.
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