Negotiable
Undetermined
Remote
EMEA
Summary: The Data Scientist role involves supporting a leading AI initiative by engaging in hands-on data science tasks, including designing experiments, preprocessing datasets, and building machine learning models. The position is fully remote and requires collaboration with engineering teams to develop production-ready solutions. Candidates should have a strong background in data science and experience with various data analysis tools and techniques. The role offers flexible hours and the potential for extension after an initial engagement period.
Key Responsibilities:
- Design experiments and run end-to-end data workflows
- Gather, clean, preprocess, and analyze large datasets
- Build and evaluate predictive and ML models
- Collaborate with engineering teams to support production-ready solutions
- Write, review, and refine prompts used for AI training
Key Skills:
- 3+ years of professional experience in data science or applied analytics
- Strong Python skills (Jupyter, numpy, pandas, scipy, scikit-learn, torch, tensorflow)
- Bachelor’s degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand
- Expertise in EDA, statistical inference, model evaluation, feature engineering, or experimentation
- Excellent communication and attention to detail
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role: Data Scientist
Location: Remote
We are hiring exceptional Data Scientists to support a leading AI initiative focused on building high-performance machine learning systems. You’ll work on hands-on data science tasks—from designing experiments and preprocessing datasets to building, evaluating, and refining models. You’ll also help develop and validate prompt-based questions that train advanced AI models.
What You’ll Do
- Design experiments and run end-to-end data workflows
- Gather, clean, preprocess, and analyze large datasets
- Build and evaluate predictive and ML models
- Collaborate with engineering teams to support production-ready solutions
- Write, review, and refine prompts used for AI training
What You’ll Bring
- 3+ years of professional experience in data science or applied analytics
- Strong Python skills (Jupyter, numpy, pandas, scipy, scikit-learn, torch, tensorflow)
- Bachelor’s degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand
- Expertise in EDA, statistical inference, model evaluation, feature engineering, or experimentation
- Excellent communication and attention to detail
Opportunity Highlights
- 20–40 hours/week, with potential to scale up
- Fully remote and asynchronous
- Minimum 1-month engagement with possible extension
- Start date: Early September
- Compensation
- Independent contractor role
- Weekly payments via Stripe Connect
Apply Now!