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I'm Miguel Belmonte, PhD, a data scientist with over 15 years of experience turning data into actionable insights and accurate forecasts. I combine statistical rigour and data engineering with machine learning algorithms to design models that balance accuracy, interpretability and computational efficiency. I'm passionate about delivering high-impact analytics through robust data pipelines, transparent modelling and practical deployment. I have led credit risk, mobility and health analytics projects across Europe and the UK, translating complex quantitative insights into actionable business outcomes.…I'm Miguel Belmonte, PhD, a data scientist with over 15 years of experience turning data into actionable insights and accurate forecasts. I combine statistical rigour and data engineering with machine learning algorithms to design models that balance accuracy, interpretability and computational efficiency. I'm passionate about delivering high-impact analytics through robust data pipelines, transparent modelling and practical deployment. I have led credit risk, mobility and health analytics projects across Europe and the UK, translating complex quantitative insights into actionable business outcomes.

Miguel A. G. Belmonte

Data Scientist, Data Analyst, Web Developer, +2

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I'm Miguel Belmonte, PhD, a data scientist with over 15 years of experience turning data into actionable insights and accurate forecasts. I combine statistical rigour and data engineering with machine learning algorithms to design models that balance accuracy, interpretability and computational efficiency. I'm passionate about delivering high-impact analytics through robust data pipelines, transparent modelling and practical deployment. I have led credit risk, mobility and health analytics projects across Europe and the UK, translating complex quantitative insights into actionable business outcomes.…I'm Miguel Belmonte, PhD, a data scientist with over 15 years of experience turning data into actionable insights and accurate forecasts. I combine statistical rigour and data engineering with machine learning algorithms to design models that balance accuracy, interpretability and computational efficiency. I'm passionate about delivering high-impact analytics through robust data pipelines, transparent modelling and practical deployment. I have led credit risk, mobility and health analytics projects across Europe and the UK, translating complex quantitative insights into actionable business outcomes.

Available to hire

I’m Miguel Belmonte, PhD, a data scientist with over 15 years of experience turning data into actionable insights and accurate forecasts. I combine statistical rigour and data engineering with machine learning algorithms to design models that balance accuracy, interpretability and computational efficiency.

I’m passionate about delivering high-impact analytics through robust data pipelines, transparent modelling and practical deployment. I have led credit risk, mobility and health analytics projects across Europe and the UK, translating complex quantitative insights into actionable business outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior Data Scientist at Intrum Global Technologies – Centre of Excellence

January 1, 2024 - January 1, 2024

Led credit risk scorecard development and automated monitoring. Benchmarked monotonic logistic regression against tree-based models to balance interpretability and predictive power; implemented in R and Python (pandas, NumPy, scikit-learn, scorecardpy, monotonic-binning). Built a modular model monitoring library with automated checks for predictor stability, model usage, and business impact visualized via a Streamlit dashboard. Implemented Apache Airflow pipelines for retraining and reporting. Data engineering and feature extraction used SQL and dbt. Causal impact analysis for a Portuguese portfolio demonstrated an average annual uplift in debt collections of €50k.

Senior Data Scientist at INRIX UK

January 1, 2022 - January 1, 2022

GPS data quality work including a Hidden Markov Model map-matching algorithm; designed a normalized GPS quality index integrating speed, turning angle and motion direction. Applied CatBoost to predict on-street parking availability with robust calibration. Data extraction from AWS via PySpark and feature selection with MRMR to optimise model performance.

Research Associate – Wearable Clinic at University of Manchester

January 1, 2021 - January 1, 2021

Applied LSTM and CNN models to labelled accelerometer data for behavioural activity recognition. Developed a sequential Gaussian Mixture Bayesian classifier to phenotype 100,000+ unlabelled UK Biobank accelerometer records, enabling interpretable phenotypes while minimising data transfer and extending device battery life.

Research Associate at University of Manchester

January 1, 2019 - January 1, 2019

Antibiotic prescribing optimisation within a learning health system. Used General Linear Models and General Additive Models to analyse prescribing rates; delivered an interactive RShiny dashboard and a complete data pipeline with PostgreSQL and R to provide actionable insights.

Knowledge Transfer Partnership Associate at Business Safety Systems, Ltd

January 1, 2016 - January 1, 2016

Sickness absence prediction using multivariate logistic regression and survival models; developed an open-source technology stack (PostgreSQL and R) optimizing value under constrained computational resources; presented quantitative insights to non-specialist audiences (CIPD, DWP).

Research Fellow at University of Strathclyde

January 1, 2013 - January 1, 2013

Macroeconomic forecasting using Bayesian finite mixture models to forecast EU employment, GDP and inflation during volatile periods; implemented hierarchical shrinkage and Bayesian Lasso for predictive stability.