Negotiable
Undetermined
Remote
United Kingdom
Summary: The Data Science Specialist role is a fully remote position focused on enhancing AI model capabilities through dataset analysis and statistical modeling. Candidates should have over three years of experience in data science and be proficient in Python and machine learning techniques. The role offers flexible scheduling and competitive hourly rates, emphasizing technical expertise and analytical skills. This position is open to qualified professionals globally, regardless of protected characteristics.
Key Responsibilities:
- Analyze datasets to extract insights informing AI model design and refinement
- Develop statistical models, machine learning techniques, and evaluation frameworks
- Conduct performance assessments and data quality reviews on model outputs
- Build reusable tools for data processing, visualization, and standardized reporting
Key Skills:
- 3+ years experience in data science, machine learning, or analytical roles
- Strong Python proficiency with pandas, NumPy, scikit-learn libraries
- Experience with large-scale data environments and version control workflows
- Advanced statistical analysis, experimental design, and model validation skills
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role: Data Science Specialist (Remote)
Location: 100% Remote (Global)
Compensation: USD 50-90 per hour
Experienced data scientists support AI model improvement through dataset analysis, statistical modeling, and performance evaluation. This flexible remote contract applies 3+ years of analytical expertise to research initiatives focused on enhancing intelligent system capabilities.
Key Responsibilities
- Analyze datasets to extract insights informing AI model design and refinement
- Develop statistical models, machine learning techniques, and evaluation frameworks
- Conduct performance assessments and data quality reviews on model outputs
- Build reusable tools for data processing, visualization, and standardized reporting
Essential Qualifications
- 3+ years experience in data science, machine learning, or analytical roles
- Strong Python proficiency with pandas, NumPy, scikit-learn libraries
- Experience with large-scale data environments and version control workflows
- Advanced statistical analysis, experimental design, and model validation skills
Project Benefits
- Fully remote with self-managed scheduling (10+ hours/week commitment)
- Exposure to cutting-edge AI research and experimentation
- Competitive hourly rates reflecting expertise level
- Weekly international payments with no client data confidentiality requirements
Ideal Background
- Data scientists with production ML experience
- Analysts skilled in experimental design and A/B testing
- Professionals comfortable with large-scale data processing pipelines
- Technical team collaborators with clear written communication
Equal Opportunity
All qualified data science professionals considered regardless of protected characteristics. Selection based purely on technical expertise and analytical capabilities.