Stephen P.
Lead Data Scientist @Shoutt
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WORK HISTORY
Lead Data Scientist @Shoutt
London, GB
Leading data science projects to support the growth of Shoutt- Designing, developing, and implementing predictive models and machine learning systems: fine-tune and optimise LLMs and SLMs for production use; translate research into production-ready features- Overseeing the collection, preparation, and validation of data to ensure quality, consistency, and accuracy across all data sources and projects (via web scraping, information retrieval, embeddings)- Managing data pipelines and cloud infrastructure, working in collaboration with other team members to ensure efficiency, scalability, and security; build systems that are robust, measurable, and scalable; contribute to core data science and MLOps practices in collaboration with the CTO- Conducting analysis and producing reports, dashboards, and insights to support product development, strategic planning, and operational improvement; design, implement, and track the metrics that guide model and product performance.
EDUCATION
Harvard University
Professional Certificate in Data Science
Massachusetts Institute of Technology
MicroMasters, Statistics and Data Science
ABOUT STEPHEN P.
Psychologist (Ph.D.) turned full-stack Data Scientist (Masters-level) building human-centric persuasive technologies with AI and Machine Learning to solve health and well-being, sustainable transport, and labour market problems. Established career in data analytics, scientific research, and project leadership. Deep expertise building predictive and generative AI systems for analysis and generation of text, language, and talk-in-interaction. Research-led projects grounded in people\'s use of language and digital technologies.Passionate about democratising data science, using cutting-edge free and open source technologies, to put people at the heart of the data, and make solutions accessible to non-technical stakeholders.# Recent projects- Building robust and reliable LLM/SLM AI assistant to help freelancers find high quality gigs (Shoutt)- Automated data analytics, causal inference, and predictive models for enhancing eco-driving behaviours (Lightfoot)- Built interactive meditation assistant providing personalised guidance using voice and brain signals for enhanced well-being (Data Science Retreat).# Skill SummarySkilled builder of values-driven data products that embed care, compassion, privacy for social good. Applying Machine Learning, computational social science, responsible software engineering to solve complex health, social, environmental problems. Research-led approach to predictive modeling, experimentation, and causal inference to explain, predict and influence human behaviour. Attentive to cultural, geographical, historical circumstances, social contexts and \"differences that make a difference\". Ethical perspective, embracing the plurality of human experience, particularly within international cross-disciplinary teams and organisations.# Programming LanguagesRust, Python, R, SQL, bash# Data Science & Analyticspandas, polars, matplotlib, plotnine, tidyverse (dplyr, ggplot2)# Machine LearningNumPy, scikit-learn, TensorFlow, PyTorch# Software Engineering & DevOpsDocumentation (Jupyter, Quarto, Sphinx), version control (git/GitHub), testing (PyTest), CI/CD (GitHub Actions), containerisation (Docker)# AI Engineering OpenAI API, Codex, Cursor, Ollama, HuggingFace, LangChain, Weights & Biases# Cloud InfrastructureAWS (EC2, S3), Microsoft Azure DevOps, Google Cloud Platform# Business Intelligence ToolsTableau, Power BI, Zoho Analytics, Excel
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