Computational Data Science Problem Creation Expert

hackajob
Leeds
4 days ago
Create job alert

Computational Data Science Problem Creation Expert (Contract, Remote)

Type: Independent Contractor

Location: Remote

Schedule: Flexible, project-based


hackajob partners with innovative companies to connect top-tier technical talent with high-impact, cutting-edge projects. For this role, we are working closely with a platform that collaborates with leading AI labs and technology companies to build high-quality datasets used to train and evaluate advanced AI systems.

Together, we are onboarding senior data scientists to design fully deterministic, end-to-end data science problems that reflect how real-world data science is done.


About the Role

This is a problem creation and verification role, not execution or production work.

You will design computational, real-world data science problems that simulate complete analytical workflows — from raw data to validated, reproducible outputs.

Your work will directly contribute to training and evaluating AI models on professional data science reasoning.

What You’ll Do

You will:

  • Design realistic data science problems grounded in business scenarios
  • Cover the full data science lifecycle, including:
  • Data ingestion & cleaning
  • Exploratory analysis
  • Feature engineering
  • Statistical analysis & modeling
  • Validation and interpretation
  • Implement verified Python solutions
  • Ensure all problems are fully deterministic and reproducible
  • Clearly document:
  • Business context
  • Data inputs & schemas
  • Analytical logic
  • Exact expected outputs

What We’re Looking For

Required:

  • MSc or PhD in Data Science, Statistics, Mathematics, Computer Science, or a related field
  • 5+ years of professional data science experience
  • Ownership of end-to-end data science pipelines
  • Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels)
  • Solid grounding in statistics and modeling
  • Ability to define explicit, verifiable outputs

Nice to Have:

  • Cross-industry experience (finance, healthcare, telecom, government, e-commerce)
  • Teaching, mentoring, publications, or case studies
  • Consulting or research-oriented industry background


This role is focused on rigor, correctness, and clarity.

Related Jobs

View all jobs

Computational Data Science Problem Creation Expert

Computational Data Science Problem Creation Expert

Computational Data Science Problem Creation Expert

Computational Data Science Problem Creation Expert

Computational Data Science Problem Creation Expert

Computational Data Science Problem Creation Expert

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

Jobs

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.