Remote Applied ML Scientist - Contractor

Synthires; Greater London; Remote; GBP 253,000 - 290,000; Part time

Job summary

Synthires in the United Kingdom seeks skilled Applied Scientists to contribute to a data-driven project focused on analytics, statistics, and experimentation. You will apply Python, machine learning, and applied statistics to help train and evaluate next-generation AI systems.

The role emphasizes quantitative problem-solving, reproducible code, and clear technical reporting. Prior AI experience is beneficial but not required; domain expertise and strong communication are key to collaborating

Qualifications

• Proficiency in Python for data analysis, statistical computing, and ML.
• Experience with Pandas and scikit-learn.
• Applied statistics, experimental design, and ML knowledge.
• Experience building, tuning, and evaluating ML models in real-world settings.
• Strong data modeling with structured and unstructured data.

Responsibilities

• Design and conduct statistical analyses to uncover insights from complex datasets.
• Develop, validate, tune, and evaluate ML models for business and research goals.
• Apply data modeling and large-scale data transformations using Python/Pandas.
• Collaborate with stakeholders to establish experimentation frameworks and analyze results.
• Document methodologies and findings through clear analytical reports.
• Review peer contributions and provide constructive feedback.
• Deliver reproducible code and well-organized reports.
• Evaluate AI outputs involving statistics, ML, experimentation, and quantitative reasoning.
• Create expert-level prompts, datasets, and reference solutions.
• Identify flawed methodologies and statistical errors; provide structured feedback.

Skills

Python for data analysis

Pandas

Scikit-learn

Applied statistics

Experimental design

Machine learning

Data modeling

Technical communication

Reproducible analytics

Education

Advanced degree in data science / statistics

Job description

Synthires in the United Kingdom seeks skilled Applied Scientists to contribute to a data-driven project focused on analytics, statistics, and experimentation. You will apply Python, machine learning, and applied statistics to help train and evaluate next-generation AI systems.

The role emphasizes quantitative problem-solving, reproducible code, and clear technical reporting. Prior AI experience is beneficial but not required; domain expertise and strong communication are key to collaborating