Are you ready to push the boundaries of AI in the visual intelligence domain?
In this role, you'll play a key role in advancing our AI capabilities, leading projects that integrate Machine Learning and Deep Learning techniques to make a real impact on the insurance and fleet management industries.
About the roleAs a Data Scientist at Bdeo, you'll play a critical role in our data team.
You will be part of our highly motivated data scientists team with strong skills in the visual intelligence domain and wide experience with Machine Learning and Deep Learning algorithms; implementing AI-based products since 2018.You will work with a product-oriented agile squad, focusing on designing, implementing, training, testing, and deploying new and innovative AI solutions.You will collaborate with talented people from different backgrounds such as MLops engineers, analytics engineers, product managers, software engineers, and QA engineers.You will foresee AI challenges, participate in the definition and development of innovative AI solutions, and guide less experienced data scientists to accomplish goals as a team.You will promote knowledge sharing and best practices across the team.Who are we searching forBachelor degree in Computer Science, Math, or a related field with a focus on computer vision and deep learning.2+ years of professional experience in data science.Proficiency in Python programming language.Solid knowledge of Deep Learning (theoretically and practically), especially with Computer Vision.Strong skills in a Deep Learning framework (Pytorch, Tensorflow, etc.).Capability to understand scientific papers of the SOTA.Proven ability to analyze complex problems, formulate effective solutions, and implement them.Eager to keep improving yourself with the latest technologies.Eager to solve challenging tasks.Fluent in English written and spoken.Nice to haves:Experience in cloud services.Experience with LLMs for assistance and automation of tasks.MSc in Data Science or related fields.Clear understanding of the pipeline to make models into production.Experience with agile methodologies such as Scrum and Kanban.Experience using Docker.Experience using RestAPI frameworks.If you are fluent in Spanish.Industry experience working on machine learning.About UsAt Bdeo, our mission is to empower the insurance and fleet management industries through cutting-edge Visual Intelligence. Our AI-powered technology, accessible via smartphone, allows for remote analysis and detection of vehicle damage, providing triage and cost estimates that help companies streamline and optimize underwriting and claims management processes.
We focus on two core business areas:
Motor SolutionsProperty SolutionsOur recent achievements include:
Operating in 29 countries and expanding, with a multicultural team of #Bdoers representing over 14 nationalities.Recognitions: AI Fintech Global 2023, FinTech Global's Insurtech100 in 2023, Wired's Hottest Startups in Europe, and among the top 10 most relevant startups in Madrid in 2023, and ITC DIA Europe top 100 insurtechs to watch in 2024.Additional honors: Claims Excellence Awards 2024 (Nominee), Forbes Spain's 2024 list of 100 Most Creative People in Business featuring Julio Pernía and Bdeo, and recognized among the World's Top Insurtech Companies 2024 by CNBC and Statista.Our growth is backed by top-tier investors, including Wayra and Telefónica Seguros through Íope Ventures, Hollard, Armilar, and CDTI, alongside returning investors K Fund and Blackfin.Why You'll Love Working with Us!Vacation & Time Off: Enjoy 23 vacation days plus all Spanish public holidays.Flexible Work Options: Start anytime between 8 am and 10 am, wrap up between 5 pm and 7 pm, and on Fridays (and 20 summer days), finish early at 3 pm.Awesome Perks: Private medical and dental insurance (Adeslas) for peace of mind.Learning & Growth: An annual budget for books, courses, events, or anything else to keep you growing.Extra Goodies: Plenty of ways to advance and make a significant impact in an industry-transforming company.Bdeo is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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