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I am a senior data scientist, consultant and trainer with a PhD in statistics modelling from the University of Sheffield. I have experience in statistics and data science across academia and industry, including teaching R and SPSS and leading diverse data science projects. I enjoy turning complex analyses into practical insights and scalable solutions, and I’m passionate about mentoring others through training and hands-on work. In recent roles I’ve led AI and data pipelines at the AMRC, contributed to fraud-detection solutions at HSBC, and delivered analytics training at Minitab. I work with Python, SQL and ML techniques to deliver robust analytics, operationalize models, and drive data-informed decisions across manufacturing, finance, and education sectors.…I am a senior data scientist, consultant and trainer with a PhD in statistics modelling from the University of Sheffield. I have experience in statistics and data science across academia and industry, including teaching R and SPSS and leading diverse data science projects. I enjoy turning complex analyses into practical insights and scalable solutions, and I’m passionate about mentoring others through training and hands-on work. In recent roles I’ve led AI and data pipelines at the AMRC, contributed to fraud-detection solutions at HSBC, and delivered analytics training at Minitab. I work with Python, SQL and ML techniques to deliver robust analytics, operationalize models, and drive data-informed decisions across manufacturing, finance, and education sectors.

Basile Marquier

Data Scientist, AI Engineer, Data Analyst, +4

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I am a senior data scientist, consultant and trainer with a PhD in statistics modelling from the University of Sheffield. I have experience in statistics and data science across academia and industry, including teaching R and SPSS and leading diverse data science projects. I enjoy turning complex analyses into practical insights and scalable solutions, and I’m passionate about mentoring others through training and hands-on work. In recent roles I’ve led AI and data pipelines at the AMRC, contributed to fraud-detection solutions at HSBC, and delivered analytics training at Minitab. I work with Python, SQL and ML techniques to deliver robust analytics, operationalize models, and drive data-informed decisions across manufacturing, finance, and education sectors.…I am a senior data scientist, consultant and trainer with a PhD in statistics modelling from the University of Sheffield. I have experience in statistics and data science across academia and industry, including teaching R and SPSS and leading diverse data science projects. I enjoy turning complex analyses into practical insights and scalable solutions, and I’m passionate about mentoring others through training and hands-on work. In recent roles I’ve led AI and data pipelines at the AMRC, contributed to fraud-detection solutions at HSBC, and delivered analytics training at Minitab. I work with Python, SQL and ML techniques to deliver robust analytics, operationalize models, and drive data-informed decisions across manufacturing, finance, and education sectors.

Available to hire

I am a senior data scientist, consultant and trainer with a PhD in statistics modelling from the University of Sheffield. I have experience in statistics and data science across academia and industry, including teaching R and SPSS and leading diverse data science projects. I enjoy turning complex analyses into practical insights and scalable solutions, and I’m passionate about mentoring others through training and hands-on work.

In recent roles I’ve led AI and data pipelines at the AMRC, contributed to fraud-detection solutions at HSBC, and delivered analytics training at Minitab. I work with Python, SQL and ML techniques to deliver robust analytics, operationalize models, and drive data-informed decisions across manufacturing, finance, and education sectors.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

French

Fluent

English

Fluent

Spanish; Castilian

Advanced

German

Advanced

Chinese

Beginner

Japanese

Beginner

Work Experience

Engineer in Artificial Intelligence at Advanced Manufacturing Research Centre (AMRC), University of Sheffield

November 1, 2024 - Present

Technical lead for a prototype Genetic Algorithm in Python as the ML component of an AI solution for urban sector applications; supported data ingestion and early MLOps design. Developed ML models (full MLOps lifecycle) for a robotic spray-painting system in a Rolls-Royce/BAE context to improve precision and automation. Researched LLM architectures and RAG frameworks, including CPU/GPU prototype frameworks for internal document knowledge extraction. Contributed to ETL/pipeline improvements for image processing and defect detection. Analyzed manufacturing quality data via ANOVA and DoE, and explored carbon-emission data calculation methodologies for manufacturing.

Analytics Consultant at Minitab

January 1, 2022 - October 1, 2024

Trainer in Data Analytics, Statistical Quality Analysis, Designs of Experiments and Statistics Modelling. Delivered on-site and in-house training on Minitab features and operations, and coordinated with Marketing to promote Education and Services within the Customer Engagement Lifecycle.

Freelancer – Data Science / Statistics Consultant at Freelance

January 1, 2018 - November 1, 2024

Provided data science and statistical consulting across Medical Science, Biostatistics, Psychology and Financial Mathematics; supported Master’s theses, PhD research and industry reports. Delivered training and tutoring in Python, R, SPSS and GraphPad; supported clients with robust statistical outputs and actionable insights.

Lead Data Scientist at HSBC UK

February 1, 2020 - January 1, 2022

Contributed to real-time fraud detection system design, integrating R/Python models with data pipelines from Google Cloud Platform (BigQuery) and Teradata. Built robust SQL-based extraction/ETL workflows for scalable transactional/behavioral data access. Collaborated on end-to-end analytics from data ingestion to feature engineering and ML Ops deployment, including hot rules for fraud prevention. Produced interactive deliverables via Jupyter Notebooks with clear visualizations and applied advanced statistical analyses to identify fraud patterns and reduce false positives.

Statistics Adviser at University of Sheffield

September 1, 2017 - February 1, 2020

Developed statistics resources and lectures in R, SPSS and Excel; supported PhD, Master’s and undergraduate students with theory and practice in statistical methods, including unsupervised and supervised techniques.

Freelancer in data science/statistics at Self-employed / Freelancer

January 1, 2018 - November 1, 2024

Provide data science and statistical consulting across diverse domains including Medical Science, Biostatistics, Psychology, and Financial Mathematics, supporting Master’s theses, PhD research, and industry reports. Deliver training and tutoring in Python, R, SPSS, and GraphPad, with a focus on statistical modelling, regression analysis, hypothesis testing, and time series forecasting. Support academic and industry clients with actionable insights and statistically robust outputs.

Lead Data Scientist at HSBC, UK

February 1, 2020 - January 31, 2022

Contributed to the design and implementation of a real-time fraud detection system, integrating R/Python models with data pipelines sourced from Google Cloud Platform (BigQuery) and Teradata. Built robust data extraction and transformation workflows using SQL, enabling scalable and timely access to transactional and behavioural data for fraud analysis. Collaborated cross-functionally to deliver end-to-end analytical solutions, from data ingestion to feature engineering and ML Ops deployment, including implementing hot rules and contributing to the real-time fraud payment prevention system. Produced interactive, insight-rich deliverables via Jupyter Notebooks, supporting stakeholders with clear and actionable visualizations. Applied advanced statistical analysis and anomaly detection techniques to identify fraud patterns, reduce false positives, and inform policy.

Statistics Adviser at University of Sheffield, UK

September 1, 2017 - February 29, 2020

Developing resources and lectures in statistics in R, SPSS and Excel; Support for students at PhD, Masters and Bachelors levels; Guidance in R/Python/SPSS/Excel and statistics theories and practice.