I'm Tony Fung, a data scientist based in London with a passion for turning data into actionable business insights. I enjoy solving complex problems with rigorous statistical thinking, scalable modelling, and measuring business impact. I thrive on building strong relationships with stakeholders and becoming the go-to person for data-driven decisions. My experience spans experimentation, time-series forecasting, NLP, and ML-powered product improvements across media, fintech, and tech. I code in Python and R, design robust data pipelines, and mentor colleagues while collaborating with cross-functional teams. I’m also an avid problem solver with a Stack Overflow profile and a keen interest in leveraging tools like ChatGPT to accelerate data work.

Tony Fung

I'm Tony Fung, a data scientist based in London with a passion for turning data into actionable business insights. I enjoy solving complex problems with rigorous statistical thinking, scalable modelling, and measuring business impact. I thrive on building strong relationships with stakeholders and becoming the go-to person for data-driven decisions. My experience spans experimentation, time-series forecasting, NLP, and ML-powered product improvements across media, fintech, and tech. I code in Python and R, design robust data pipelines, and mentor colleagues while collaborating with cross-functional teams. I’m also an avid problem solver with a Stack Overflow profile and a keen interest in leveraging tools like ChatGPT to accelerate data work.

Available to hire

I’m Tony Fung, a data scientist based in London with a passion for turning data into actionable business insights. I enjoy solving complex problems with rigorous statistical thinking, scalable modelling, and measuring business impact. I thrive on building strong relationships with stakeholders and becoming the go-to person for data-driven decisions.

My experience spans experimentation, time-series forecasting, NLP, and ML-powered product improvements across media, fintech, and tech. I code in Python and R, design robust data pipelines, and mentor colleagues while collaborating with cross-functional teams. I’m also an avid problem solver with a Stack Overflow profile and a keen interest in leveraging tools like ChatGPT to accelerate data work.

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Language

English
Fluent

Work Experience

Senior Experimentation Analyst at Reach plc (e.g. Daily Mirror) (contract)
December 1, 2024 - June 1, 2025
Led A/B test design and analysis to improve test efficiency using sequential testing, Bayesian methods, CUPAC, and weighted variance. Built custom power analysis and sample-size calculators (including rolling cross-validation via Bayesian structural time series). Communicated nuanced findings to stakeholders, balancing SEO ranking and user engagement. Proactively explored and integrated previously unused data (e.g., JSON logs and schemas) by reviewing requirements and coordinating with engineering teams.
Marketing Analyst at Remitly (Fintech international money transfer) (contract)
August 1, 2024 - November 1, 2024
Allocated marketing budget using Marketing Mix Modelling to identify saturation points and quantify the contribution of each channel. Modelled AdStock effects and used causal impact (Bayesian structural time series) to estimate the effect of spend. Produced tailored outputs for C-suite stakeholders and recommended future expenditure directions based on model results.
Data Scientist at OpenSignal (measure internet speed for telecommunication)
October 1, 2022 - February 1, 2024
Navigated GDPR and regulatory changes impacting data availability. Built models to classify types of internet connections using Random Forests; performed feature selection with Lasso, Ridge, and Elastic Net, with hyperparameter tuning. Bootstrapped pivot confidence intervals to provide robust results. Collaborated with engineering to productionise data pipelines handling over 1 billion rows daily. Performed EDA to diagnose discrepancies and acted as liaison between data science and product management.
Data Scientist at iTech Media (SEO)
August 1, 2021 - October 1, 2022
Forecasted website traffic with time series methods; alerted business to changing patterns as markets shifted post-COVID. Applied text analytics to uncover evolving patterns in web visits. Overhauled A/B test designs to address unequal variances, improving Type I and II error rates. Built performant, scalable code using data.table and parallel processing; established best practices for the team.
Data Scientist at Kindred – formerly Unibet (online betting)
June 1, 2020 - August 1, 2021
Engaged in ad hoc modelling such as predicting the number of punters for major events; created a power-analysis based sample size calculator to assist planning. Served as a primary point of contact for senior stakeholders; provided mentoring and QA for projects; ran workshops on R, ML, and statistics with learning materials.
Data Scientist at Elder Technologies Ltd. (Startup. Matching elderly with carers)
December 1, 2018 - December 1, 2019
Collaborated with software engineers to model effects of system changes and advise on ramifications before implementation (e.g., upcoming auto-matching algorithm). Built churn classification models (logistic regression and random forest); reduced churn by 22% and recouped acquisition cost by ~17%. Trained staff on model outputs and acted as a stakeholder liaison.
Data Science Analyst at Marks & Spencer
June 1, 2017 - December 1, 2018
Applied data science methods to business metrics and forecasting to support decision making across marketing and operations; collaborated with multiple teams to deliver actionable analytics.
Database Analyst at Odeon & UCI Cinemas
July 1, 2016 - June 1, 2017
Managed database analytics and reporting, performed data extraction and SQL-based analysis, and supported data warehousing initiatives.
Marketing Analyst at More2
September 1, 2015 - April 1, 2016
Conducted marketing analytics, campaign analysis, and ROI evaluation; supported data-driven marketing decision making.
HR Data Analyst (contract) at Lewisham Council
July 1, 2015 - September 1, 2015
Provided HR data analytics and reporting; implemented data-driven improvements to reporting pipelines and metrics.
Applicant Tracking System Manager (contract) at News Corp
August 1, 2014 - April 1, 2015
Managed ATS-related analytics and reporting; leveraged data to optimise recruitment processes and stakeholder communication.

Education

MSc International Management at King's College London
January 1, 2011 - January 1, 2014
BA Hons Economics at University of Essex
January 1, 2008 - January 1, 2011

Qualifications

MIT Data Science course
January 11, 2030 - December 17, 2025

Industry Experience

Media & Entertainment, Financial Services, Software & Internet