Remote Senior Data Scientist Job in Manchester, UK Mobysoft

Who you are

• Masters degree in Data Science, Machine Learning, Artificial Intelligence, or related quantitative discipline
• Circa 5+ years of commercial experience working on complex problems, varied data types, and machine learning (ML)/artificial intelligence (AI) approaches with multiple live solution deployments
• Excellent familiarity with the data science process: experiment/hypothesis formation, data selection, feature engineering, model selection, sampling/cross-validation, hyperparameter tuning, model performance metrics, code, and notebook documentation
• Experience of working in a Cloud environment (AWS preferred)
• Experience across common supervised, unsupervised, semi-supervised, reinforcement machine learning techniques
• Accomplished Python coder
• Data wrangling and data engineering using Python and SQL
• Ability to use dimension reduction techniques (PCA, encoders)
• Familiarity with elastic net logistic regression, random forest, and XGBoost ensembles for supervised problems with structured data
• Classification using K-means, K-Medoids, or similar, with skills to evaluate solution suitability
• Skills to deploy deep learning, ideally through TensorFlow, including transformer architectures
• NLP capabilities, including sentiment analysis and localizing large language models, ideally through Hugging Face
• Strong math skills for fundamental understanding and novel applications
• Forecasting using time-series and related approaches, using classical and modern techniques

Desirables

• deploying graph analytics
• deep feature synthesis frameworks
• transactional data

What the job involves

• Researching, building, deploying, and monitoring machine learning (ML) models, in close collaboration with cross-functional teams.
• Supporting clients through enhanced decision-making and automation, utilizing a developing cloud-based AWS data platform.
• Liaising with clients through events, conferences, webinars etc., to assist their data-driven journeys.