Maciej Tomczak
@maciejtomczak
Senior data scientist and machine learning engineer specializing in audio and credit risk.
United KingdomWhat I'm looking for
I am a senior data scientist and machine learning engineer with over ten years of experience bridging academic research in deep generative audio models and production-grade ML for consumer lending. I design, develop and deploy end-to-end ML systems, from dataset curation and feature engineering to model calibration, monitoring and business-facing reporting.
My research has produced large curated audio datasets, peer-reviewed publications and conference presentations, while my industry work delivers probability-of-default models, modular pipelines and automation that improve lending outcomes and maintain robust risk controls. I mentor peers, collaborate with underwriters, and integrate models into operational workflows to balance fairness, inclusion and performance.
Experience
Work history, roles, and key accomplishments
Senior Data Scientist
Fintern Ltd (Abound)
Jan 2024 - Present (1 year 9 months)
Independently led end-to-end credit risk and ML engineering projects, deploying PD models on open banking and bureau data that improved lending volumes while reducing portfolio risk. Mentored data scientists and delivered monitoring dashboards to track model performance and affordability metrics.
Postdoctoral Researcher
Birmingham City University
Dec 2021 - Dec 2023 (2 years)
Managed ML lifecycle for audio event detection within a £1.2M EPSRC augmented reality music project, integrated real-time ML pipelines into AR systems and curated a 750+ recording dataset to support synchronisation research.
Teaching Assistant
Birmingham City University
Sep 2015 - Jun 2021 (5 years 9 months)
Delivered instruction, labs and tutoring for modules including digital signal processing, interactive music systems and music information retrieval, supporting student learning and assessment across undergraduate courses.
Research Intern
National Institute of Advanced Industrial Science and Techno
Feb 2020 - Nov 2020 (9 months)
Designed and led ML pipeline lifecycles for generative audio research, implemented distributed training on ABCI using thousands of GPU nodes and developed monitoring tooling for large-scale deep learning experiments.
Research Associate
Birmingham City University
May 2015 - Jun 2015 (1 month)
Developed an evaluation toolbox in MATLAB for a mixing experiment in partnership with MIDAS Consoles, enabling reproducible analysis of console-based mixing studies.
Studio Assistant
Teatr Polskiego Radia
Apr 2013 - May 2013 (1 month)
Assisted production on audiobook and radio drama sessions, handling recording, post-production synchronization and audio tracking using Pro Tools and working with voice actors and Foley.
Education
Degrees, certifications, and relevant coursework
BUBirmingham City University
Doctor of Philosophy, Sound and Music Analysis / Audio
2016 - 2023
Activities and societies: Thesis: Automated Rhythmic Transformation of Drum Recordings; EPSRC project work; publications and conference presentations.
Ph.D. in deep generative modelling for audio synthesis; thesis on automated rhythmic transformation of drum recordings supervised by Dr. Jason Hockman.
BUBirmingham City University
Bachelor of Science, Sound Engineering and Production
2012 - 2015
Grade: First-class honours
Activities and societies: Modules and teaching assistant experience in digital signal processing, interactive music systems, and music production.
Undergraduate degree in sound engineering and production, graduated with first-class honours.
Availability
Location
United KingdomAuthorized to work in
Job categories
Skills
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