Junior Data Scientist, Yokoy
Automated spending management platform
Job no longer available
Automated spending management platform
201-500 employees
Job no longer available
201-500 employees
Company mission
To revolutionise corporate spend management.
Role
Who you are
- Master or PhD in a relevant field (e.g., Computer Science, Statistics, Mathematics, Physics)
- You have a strong understanding of fundamental concepts in statistics and machine learning
- You bring good coding skills and experience with Python
- You have previous experience with data manipulation and analysis libraries (e.g., Pandas, NumPy)
- You have experience with machine learning frameworks (e.g., scikit-learn, TensorFlow or PyTorch)
- Ideally, you have some experience with NLP and Hugging Face
- You have excellent problem-solving and communication skills
- You are able to work collaboratively in a team environment
- You are fluent in English; other languages are a plus
What the job involves
- As a Junior Data Scientist at Yokoy, you will work closely with our experienced data science team to analyze and interpret complex datasets, and develop and deploy models to our AI pipeline
- This role offers a fantastic opportunity for a recent graduate or entry-level professional to gain hands-on experience in the field of data science, applying cutting-edge techniques to solve real-world problems
- We are a product-driven company, and a visionary best-in-class product is the key for our customers’ success
- Developing innovative data solutions and transforming data into actionable intelligence is crucial for our continuous growth
- You will assist in the collection, processing, and analysis of large datasets
- You collaborate with senior data scientists to develop and implement machine learning models
- You will perform exploratory data analysis to identify trends, patterns, and anomalies
- You will support the development of data visualizations and dashboards for effective communication of findings
- You will stay abreast of industry trends and emerging technologies in data science
Application process
- We aim to get back to you regarding your application within 8 business days
- Our interview process tends to take around 4 weeks to complete
- If you need more flexibility or are on a tighter schedule, don’t be afraid to let us know
Our take
Yokoy is a spend management automation company, offering corporate credit cards and AI-powered expense and invoice management. The company’s all-in-one fintech platform easily integrates with existing ERP systems and works in multiple currencies, providing midsize to large enterprises with actionable insights through its adaptable and intuitive platform.
While the company faces competition within the market against Spendesk, Pleo, Moss and more, Yokoy has proven itself to be a strong competitor, growing 400% year-over-year. The company previously acquired Innflow, expanding its SAP-centric information system capabilities, and has over 500 enterprise customers, including Bitpanda, On, and DPD Group.
The company’s latest Sequoia Capital-led funding has fuelled the company’s European expansion, with the “soonicorn” company present in Switzerland, Germany, Austria, the Netherlands, Serbia, and now Spain. By continuing to focus on expansion and its mergers and acquisitions (M&A) strategies, market-leading Yokoy is well set to see further accelerated growth and expansion.
Steph
Company Specialist at Welcome to the Jungle
Insights
36% employee growth in 12 months
Company
Company benefits
- Hybrid/Remote Work Options
- Flexible Work Schedule
Company HQ
Escher Wyss, Zürich, ZH
Leadership
Philippe Sahli
(CEO & Co-Founder)Former CFO at Beekeeper, and was the Director & Chief of Staff (Group Operations) at UBS.
Thomas Inhelder
(CFO & Co-Founder)Former Head Of Finance at Beekeeper, and was the Country Finance Manager at BT Group.
Melanie Gabriel
(Co-Founder)Current Board Member at WE SHAPE TECH. Former Head of Marketing at dizmo. Co-Founded Armoire Au Revoir.
Lars Mangelsdorf
(CCO & Co-Founder)Former Senior Account Executive at Beekeeper, and was a Sales Manager at Künzli SwissSchuh AG.
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