Lorenz attractor: deterministic equations that model chaotic systems. The mathematical origin of the butterfly effect.

Hello, I'm

Natan Szczepaniak

Senior Data & AI Consultant

5+ years experience bridging data science & human-centred design building end-to-end AI/ML solutions across healthcare, financial services, retail, automotive and more. MPhys physicist turned consultant.

CV LinkedIn GitHub
Natan Szczepaniak

Recent Posts

ML Interatomic Potentials

Machine Learned Interatomic Potentials for MD simulations

Nov 2020 1 min read
Physics University ML

X-Ray Crystallography

Investigation into the crystal structure of Lithium Fluoride, Potassium Bromide and quartz.

Nov 2020 1 min read
Physics University

Neuromorphic Computing

Neuromorphic Computing for Artificial Intelligence

Mar 2020 2 min read
Physics University
View all posts →

Skills

Programming & Web

Python SQL JS/TS HTML CSS Bash REST APIs FastAPI Flask React Node.js Next.js Streamlit Git Nginx

AI & Machine Learning

ML Deep Learning NLP LLMs MLOps Agentic AI RAG ReAct Agents PyTorch TensorFlow scikit-learn Hugging Face LangChain/Graph MLflow SageMaker Pandas Vector Databases

Cloud & Data Engineering

AWS GCP Docker Terraform CloudFormation CI/CD Jenkins Airflow Spark Snowflake PostgreSQL MongoDB Redis PowerBI Tableau Salesforce ServiceNow

Consulting

Stakeholder Management Business Development Workshop Facilitation Technical Discovery Proposal Writing Roadmap & Strategy Agile Jira Confluence

Career

2023

2023 – Present

Senior Data & AI Consultant

Method (a GlobalLogic Company), London

Working at the intersection of AI/ML, user experience, and business impact, translating complex data into products and decisions that people actually use. Engagements span the full lifecycle: from discovery and strategy through to model development, data visualisation, and stakeholder-facing delivery. Projects include LLM health insurance advisory tools, 8 EdTech ML model POCs, digital transformation roadmaps for a global industrial conglomerate, and a cybersecurity dashboard for a leading fintech. Supported over $1M in sold engagements and helped scale the Data & AI team from 4 to 16 members.

2021

2021 – 2023

Data Scientist / MLOps Engineer

GlobalLogic, London

Embedded within NatWest Group's MLOps platform team alongside AWS Professional Services, onboarding data science teams onto a new SageMaker-based platform and reducing idea-to-value time from 40 to 16 weeks. Supported productionisation of 8+ ML models including fraud detection and NLP-based customer service.

2018

2018

Data Science Intern

Applegate Marketplace, Devon

Designed and implemented a ML lead scoring POC for a B2B procurement marketplace with 140,000+ suppliers, built in collaboration with the University of Exeter.

2017

2017 – 2021

MPhys Master of Physics (2:1)

University of Exeter, Devon

Dissertation: Machine Learned Potentials for Molecular Dynamics Simulations (79%). Coursework spanning quantum mechanics, astrophysics, condensed matter physics, and scientific programming in C.