Hire remote data scientists near Manchester or in a similar time zone
Daniel Burkhardt Cerigo
Freelance Data Scientist
With over four years of experience under his belt, Daniel is a detail-oriented data scientist specializing in predictive modeling and optimization via reinforcement learning. Along with evident leadership and communication skills (proven in his role as a chairperson for an international peace-education nonprofit), he’s driven to create measurable impact for organizations. Daniel also has a master’s degree in physics and philosophy from Oxford.
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Jose M. (Chema) Peña
Freelance Data Scientist
Jose is a data scientist and artificial intelligence consultant with more than 15 years of experience in industries such as finance, aeronautics, logistics, and healthcare. He has published more than 150 scientific papers and has been a panel evaluator of the National Science Foundation (NSF), the Research Council of Canada, and the EU Commission.
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Andrija Djurisic
Freelance Data Scientist
Andrija is a talented software engineer and a machine learning researcher. He holds a master of science degree in computer science and mathematics, and he has eight years of professional experience in software development.
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Max Hollmann
Freelance Data Scientist
For several years, Max had been mainly working as a back-end developer until fairly recently, where he now specializes in data science and deep learning. His projects have ranged from MVPs on tight budgets to full-blown products. He is passionate about using technology to make a real impact on businesses and the world and is always looking to expand his skill set for doing so.
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Corentin Martel
Freelance Data Scientist
From Arts et Métiers ParisTech, Corentin earned a master's degree in engineering. In 2014, he started coding in Python, and he's never stopped. In 2016, Corentin began working as a freelance data scientist—developing various projects in the field from data analysis to deep learning and computer vision. Along with being a fantastic communicator who's passionate about data science, Corentin also teaches students of an online MSc program.
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Javier Saez Gallego
Freelance Data Scientist
Javier is a passionate data scientist who builds data-driven software products and helps organizations transform numbers into optimal decisions. With a multidisciplinary background, he has analyzed highly dimensional datasets and built machine learning models—starting from the research stage to the implementation phase. Javier is careful, very organized, meticulous about planning always focusing on delivering the right solution.
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Pau Labarta Bajo
Freelance Data Scientist
Pau has over seven years of experience in quantitative finance and mobile gaming. He combines a deep understanding of statistics and machine learning with excellent Python skills. He enjoys extracting information from big datasets, combining classical statistical methods and machine learning techniques. He has built software for diverse problems like asset pricing, customer lifetime value prediction or automatic art generation for mobile games.
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Felix Effenberger
Freelance Data Scientist
Felix is a mathematician (Ph.D.) and computer scientist by training, turned researcher in neuroscience and machine learning, and then turned entrepreneur (co-founder and former CTO at SF-based machine learning stealth startup). He currently works from Europe as an advisor to his own startup and as a freelance researcher, software engineer, data scientist, and trainer.
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Mats Petter Wallander
Freelance Data Scientist
Mats Petter has 15 years industry experience developing efficient algorithms for squeezing information out of image and other sensor data, working in diverse domains such as digital pens, optical multi-touch, eye tracking, and solar energy, both using standard methods and developing new patented domain-specific algorithms.
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Florian Riche
Freelance Data Scientist
Florian is a full-stack data scientist with a broad understanding of business problems. He has worked in multiple sectors (education, retail, luxury, civil engineering, agribusiness, and insurance), and work environments (public institutions, consulting firms, startups, and large corporations). He has developed a solid best practices methodology on tackling unique problems, and has a knack for explaining key solutions to stakeholders.
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