Neil Leiser

AI Researcher

Paris, Île-de-France, France5 yrs experience

Most Likely To Switch

Key Highlights

Built machine learning models for credit risk at Iwoca.
Developed an automated weather forecasting portal.
Host of the AI Stories podcast with over 100k downloads.

Stackforce AI infers this person is a Data Scientist specializing in Fintech and AI solutions.

Contact

Skills

Core Skills

Data ScienceMachine LearningData Analysis

Other Skills

PythonGoogle Cloud PlatformNLPHTMLMatlabMicrosoft ExcelCSSStructural MechanicsMathematicsLeadershipMicrosoft OfficeLaTeXGoogle Cloud Platform (GCP)PyTorchnumpy

About

Grew up in Belgium 🇧🇪 until I was 18, studied Civil and Environmental Engineering at Imperial College London and then did a master in Data Science and Machine Learning at University College London. Spent one year abroad in Australia 🇦🇺 to travel and learn more about Computer Science and Machine Learning. Worked for 2.5 years as a Data Scientist at Iwoca where I built machine learning models for credit risk including credit scoring, affordability assessment and losses prediction. I am now a senior Data Scientist at Artefact - Paris, one of the world’s best AI consulting company. I build and deploy ML and GenAI solutions for clients around Europe. During my free time, I host the AI Stories podcast 🎤🎧. I invite guests from different backgrounds and different industries to talk about their career and how they use AI in their day to day to benefit society and impact our world 🌍. I post about Data Science, Machine Learning and career with a focus on AI applied to industry. Subscribe to the AI Stories YouTube channel👇: https://www.youtube.com/channel/UCWvn6k4aeceyYKjAleML9VA !

Experience

Artefact

2 roles

Lead Data Scientist

Promoted

Jul 2025 – Present · 8 mos · Paris, Île-de-France, France

Senior Data Scientist

Sep 2023 – Jul 2025 · 1 yr 10 mos · Paris, Île-de-France, France

Ai stories

Podcast Host

Oct 2021 – Present · 4 yrs 5 mos · London, England, United Kingdom

I bring together some of the best data scientists, machine learning engineers, business leaders and researchers that are at the front of the AI revolution. They talk about their career, how they arrive where they are, give advice and share their vision.
Already 100k + downloads ! The podcast is available on your favourite platforms (Youtube, Apple Podcast, Spotify, Google Podcast).

Iwoca

2 roles

Data Scientist

Aug 2021 – Jul 2023 · 1 yr 11 mos

Responsible for building various algorithms for automated credit decisions.
▪ Building and improving credit risk models.
▪ Designing, deploying and monitoring A/B tests.
▪ Creating and maintaining tools for high level data manipulation and visualisation.

Data & Risk Analyst

Jan 2021 – Aug 2021 · 7 mos

▪ Building and deploying an automated affordability prediction algorithm.
▪ Maintaining and improving the prediction of losses.

Open climate fix & ucl statistical machine learning group

Machine Learning Engineer

May 2020 – Sep 2020 · 4 mos · London, England, United Kingdom

Research on nowcasting the output of solar photovoltaics (pv) based on satellite images with Marc Deisenroth (DeepMind Chair in AI) and Jack Kelly (Open Climate Fix):
▪ Implementation of a deep spatio-temporal prediction model
▪ Model takes as input satellite images, historical pv data as well as metadata
▪ Improvement of rRMSE and rMAPE score by 8% and 10% respectively compared to several baselines (Mean, HA, Persistence) and advanced pv nowcasting models (MLP, LSTM)
▪ Tools used: Python (Pandas, Numpy, Matplotlib, Pytorch), Jupyter Notebooks, Google Cloud Platform, CUDA arrays
▪ Presentation at Machine Learning for Nowcasting Conference in 2020

Tricount

Business Data Analyst

Jul 2019 – Sep 2019 · 2 mos · Brussels Area, Belgium

▪ Analysed data to detect issues and suggest new features to be implemented
▪ Used NLP and Python to implement an algorithm which automatically categorises users expenses
▪ Algorithm able to achieve efficient classification in multiple languages with low percentage error

Atkins

Data Scientist

May 2018 – Jun 2018 · 1 mo · London, United Kingdom

Imperial College London 3rd Year Design Project supervised by SNC-Lavalin and Atkins:
▪ Group project leader (9 people) in charge of the coding
▪ Developed an automated weather forecasting portal using Python and HTML
▪ Portal enables to improve assets management

Satalia

Data Science Research Project

Dec 2017 – Dec 2017 · 0 mo · London, United Kingdom

Satalia mini-project:
▪ Researched potential application for "Uber Movement" open dataset
▪ Presented how to improve existing transport planning models
▪ Developed machine learning model able to predict travel information

Safra national bank of new york

Asset Manager Intern

Sep 2017 – Sep 2017 · 0 mo · New York City, United States

▪ Published weekly reports on global economy and macro-economic variables and statistics
▪ Followed Bloomberg intensive classes for intermediate
▪ Met hedge funds CEOs to report changes and carried funds performances analysis

Hp

Mechanical Engineer Intern

Sep 2016 – Sep 2016 · 0 mo · Ness Ziona, Israël

▪ Worked with a team of mechanical engineers to optimise printing machines efficiency
▪ Worked on binary ink developer 60
▪ Prepared presentations on binary ink developers and corona treatments