Freelance Statistician with Python Experience - AI Trainer in London
Freelance Statistician with Python Experience - AI Trainer

Freelance Statistician with Python Experience - AI Trainer in London

London Freelance 13 - 16 Β£ / hour (est.) Home office possible
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At a Glance

  • Tasks: Design and evaluate statistics problems while improving AI systems using Python.
  • Company: Mindrift connects specialists with leading tech companies for exciting AI projects.
  • Benefits: Flexible part-time work, competitive pay, and the chance to enhance your skills.
  • Why this job: Make a real impact on AI technology while working on diverse, engaging projects.
  • Qualifications: Degree in Statistics, 3+ years experience, and strong Python skills required.
  • Other info: Work remotely with flexible hours and great opportunities for professional growth.

The predicted salary is between 13 - 16 Β£ per hour.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What This Opportunity Involves

  • Design rigorous statistics problems reflecting professional practice;
  • Evaluate AI solutions for correctness, assumptions, and constraints;
  • Validate calculations or simulations using Python (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn);
  • Improve AI reasoning to align with industry-standard logic;
  • Apply structured scoring criteria to multi-step problems.

What We Look For

  • This opportunity is a good fit for statisticians with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:
  • Degree in Statistics or related fields, e.g. Probability Theory, Mathematical Statistics, Applied Statistics, etc.
  • 3+ years of professional mathematics experience.
  • Strong written English (C1/C2).
  • Strong Python proficiency for numerical validation.
  • Stable internet connection.
  • Professional certifications (e.g., PStat, CAP, SAS Certifications) and experience in international or applied projects are an advantage.

How It Works

  • Apply β†’ Pass qualification(s) β†’ Join a project β†’ Complete tasks β†’ Get paid.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Freelance Statistician with Python Experience - AI Trainer in London employer: Mindrift

Mindrift is an exceptional employer for freelance statisticians seeking flexible, project-based opportunities in the dynamic field of AI. With a focus on collaboration and innovation, we offer a supportive work culture that values expertise and encourages professional growth through diverse projects with leading tech companies. Our contributors enjoy the freedom to work remotely while engaging in meaningful tasks that directly impact the advancement of AI systems.
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Contact Detail:

Mindrift Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Freelance Statistician with Python Experience - AI Trainer in London

✨Tip Number 1

Network like a pro! Reach out to fellow statisticians and AI enthusiasts on platforms like LinkedIn. Join relevant groups and engage in discussions to get your name out there.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your Python projects, especially those involving NumPy, Pandas, or any AI-related work. This will give potential clients a taste of what you can do.

✨Tip Number 3

Stay updated with industry trends! Follow blogs, podcasts, or webinars related to AI and statistics. This knowledge can help you during interviews and make you stand out as a candidate.

✨Tip Number 4

Apply through our website! It’s the easiest way to get noticed. Make sure to tailor your application to highlight your experience with Python and statistics, and don’t forget to mention your English proficiency!

We think you need these skills to ace Freelance Statistician with Python Experience - AI Trainer in London

Statistical Analysis
Python Proficiency
NumPy
Pandas
SciPy
Statsmodels
Scikit-learn
Mathematical Statistics
Probability Theory
Applied Statistics
Strong Written English (C1/C2)
Problem Design
AI Evaluation
Professional Certifications (e.g., PStat, CAP, SAS Certifications)

Some tips for your application 🫑

Craft a Tailored CV: Make sure your CV highlights your experience in statistics and Python. We want to see how your skills align with the project-based work we offer, so tailor it to showcase relevant projects and achievements.

Show Off Your English Skills: Since strong written English is a must, don’t forget to indicate your proficiency level clearly. We’re looking for C1/C2 level, so make sure your application reflects that with clear and concise language.

Highlight Relevant Experience: If you’ve worked on similar AI projects or have professional certifications, let us know! Mention any specific tools like NumPy or Pandas that you’ve used, as this will help us see your fit for the role.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the right projects. Don’t miss out!

How to prepare for a job interview at Mindrift

✨Know Your Stats

Brush up on your statistics knowledge and be ready to discuss how you've applied it in real-world scenarios. Be prepared to explain complex concepts in simple terms, as this will showcase your understanding and communication skills.

✨Python Proficiency is Key

Make sure you can demonstrate your Python skills, especially with libraries like NumPy and Pandas. Consider preparing a small project or example that highlights your ability to validate calculations or simulations using these tools.

✨Showcase Your English Skills

Since strong written English is a must, practice articulating your thoughts clearly and concisely. You might even want to prepare a few examples of your previous work or reports to discuss during the interview.

✨Understand the Project-Based Nature

Familiarise yourself with the project-based work model and be ready to discuss how you manage your time and workload effectively. Highlight any past experiences where you've successfully juggled multiple projects or deadlines.

Freelance Statistician with Python Experience - AI Trainer in London
Mindrift
Location: London

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