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I am a data scientist with 3+ years’ experience delivering statistical analysis, automation, and data products in Python and SQL. I build analytics tools and pipelines that saved 137 person-days across studies and created internal apps enabling self-serve modeling and visualization. I run enterprise quant projects in sports-betting markets and systematic trading—developing end-to-end tooling from data ingestion to model validation, risk analysis, and backtesting. I enjoy applying ML to improve decision rules and deploying production-ready solutions. In my spare time I train at the gym and practise Brazilian Jiu-Jitsu, which helps me stay focused and committed to continuous development.…I am a data scientist with 3+ years’ experience delivering statistical analysis, automation, and data products in Python and SQL. I build analytics tools and pipelines that saved 137 person-days across studies and created internal apps enabling self-serve modeling and visualization. I run enterprise quant projects in sports-betting markets and systematic trading—developing end-to-end tooling from data ingestion to model validation, risk analysis, and backtesting. I enjoy applying ML to improve decision rules and deploying production-ready solutions. In my spare time I train at the gym and practise Brazilian Jiu-Jitsu, which helps me stay focused and committed to continuous development.

Kieran Forshaw

Data Scientist, Data Analyst, Full Stack Developer, +3

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I am a data scientist with 3+ years’ experience delivering statistical analysis, automation, and data products in Python and SQL. I build analytics tools and pipelines that saved 137 person-days across studies and created internal apps enabling self-serve modeling and visualization. I run enterprise quant projects in sports-betting markets and systematic trading—developing end-to-end tooling from data ingestion to model validation, risk analysis, and backtesting. I enjoy applying ML to improve decision rules and deploying production-ready solutions. In my spare time I train at the gym and practise Brazilian Jiu-Jitsu, which helps me stay focused and committed to continuous development.…I am a data scientist with 3+ years’ experience delivering statistical analysis, automation, and data products in Python and SQL. I build analytics tools and pipelines that saved 137 person-days across studies and created internal apps enabling self-serve modeling and visualization. I run enterprise quant projects in sports-betting markets and systematic trading—developing end-to-end tooling from data ingestion to model validation, risk analysis, and backtesting. I enjoy applying ML to improve decision rules and deploying production-ready solutions. In my spare time I train at the gym and practise Brazilian Jiu-Jitsu, which helps me stay focused and committed to continuous development.

Available to hire

I am a data scientist with 3+ years’ experience delivering statistical analysis, automation, and data products in Python and SQL. I build analytics tools and pipelines that saved 137 person-days across studies and created internal apps enabling self-serve modeling and visualization. I run enterprise quant projects in sports-betting markets and systematic trading—developing end-to-end tooling from data ingestion to model validation, risk analysis, and backtesting. I enjoy applying ML to improve decision rules and deploying production-ready solutions. In my spare time I train at the gym and practise Brazilian Jiu-Jitsu, which helps me stay focused and committed to continuous development.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Freelance Quant & Data Analyst at Remote

January 1, 2024 - Present

Sports Market Pricing & Automation: built probabilistic pricing models in Python to identify systematic mispricings across bookmakers and generate profit; API-driven ingestion and odds comparison utilities; automated calculations of proﬁtable bets for other bettors; achieved ~15% average monthly ROI over a two-year tracked period. Systematic Trading: contributed to an end-to-end strategy research, backtesting, simulations, evaluation and visual validation; refined strategies using ML for signal filtering; produced pre-production live-data monitoring; deployed multiple strategies to production on a live brokerage account. Data Consulting: consolidated occupancy, rent, financing, and area performance data for a £10m property portfolio; built diagnostic reporting and identified root causes of underperformance; delivered ~£180k/yr P&L improvement.

Associate Data Scientist at AstraZeneca

September 1, 2021 - May 1, 2025

Contributed to end-to-end data science initiatives; designed, developed and deployed innovative thermal image analysis tools for characterization of subcutaneous injection depots (time savings of ~2 months per study). Automated time-consuming tasks, saving 137 days of work by reducing checks on known errors in data sets. Developed and deployed internal, interactive web applications for data analysis, engineering and visualization, enabling department-wide access to predictive modeling and image analysis. Estimated savings from one web application: >100 hours per year; another estimate: ~3 weeks per CDC run. Performed statistical investigations to evaluate if product reductions are possible across varied tests and conducted simulations to predict regulatory outcomes.