Senior Data Scientist
EpassiFinland9 hours ago
Full-timeRemote FriendlyInformation Technology
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Epassi’s purpose is to boost everyday well-being.
We are a leading provider of employee benefit solutions in Finland, Sweden, UK & Ireland, Italy, Germany, and the Netherlands.
We were established in Finland in 2007, and in 2008 we were the first company to launch a mobile-payable employee benefit payment solution in Europe. Since then, we have consistently grown, diversifying our products and introducing our services into new markets. Epassi has been awarded by the Financial Times as one of the fastest-growing companies in Europe on multiple occasions.
Senior Data Scientist (Hybrid)
Are you passionate about machine learning and AI? Do you want to be a part of influencing the well-being of millions of European employees with the help of data? Do you want to be part of a rapidly growing company? If yes, you might be a great fit for us. Read more below and apply to join Epassi!
Epassi is growing and we are looking for a full-stack applied Senior Data Scientist who can use data science techniques to solve customer problems and contribute to development of our AI-first products.
As a Data Scientist, You Will Be Responsible For
Hiring manager for this position is Head of Data & Analytics Laura Mantere. If you want to ask more information about this opportunity, please contact [email protected].
We are a leading provider of employee benefit solutions in Finland, Sweden, UK & Ireland, Italy, Germany, and the Netherlands.
We were established in Finland in 2007, and in 2008 we were the first company to launch a mobile-payable employee benefit payment solution in Europe. Since then, we have consistently grown, diversifying our products and introducing our services into new markets. Epassi has been awarded by the Financial Times as one of the fastest-growing companies in Europe on multiple occasions.
Senior Data Scientist (Hybrid)
Are you passionate about machine learning and AI? Do you want to be a part of influencing the well-being of millions of European employees with the help of data? Do you want to be part of a rapidly growing company? If yes, you might be a great fit for us. Read more below and apply to join Epassi!
Epassi is growing and we are looking for a full-stack applied Senior Data Scientist who can use data science techniques to solve customer problems and contribute to development of our AI-first products.
As a Data Scientist, You Will Be Responsible For
- AI-powered features within our products together with software developers, product managers and data engineers, all the way from pitching an idea to monitoring the model performance in production
- Supporting the development and deployment of classical ML models, such as predictive models and forecasts
- Acting as a domain expert in AI-related topics
- Working together with the rest of the team to improve the way-of-working and tooling around data & AI
- 7+ years of work experience in applied data science in business environment
- Hands-on experience of designing, developing and deploying AI-powered, customer-facing product features to production (e.g. chatbots and OCR applications)
- Experience with cloud platforms (AWS, Azure) and AI/ML features of Databricks
- Excellent Python skills
- Willingness to work in a fast-paced and change-heavy environment
- Great collaboration skills and eagerness to work in a cross-functional team
- Working proficiency in English
- We want to build AI-first products - in this role, you will directly contribute to this highly important company goal
- We offer a front-row seat to a fast-growing tech company
- We have an inspiring & supportive culture, and we take care of the wellbeing of our employees
- We care about your work-life balance
- We take care of the professional development of Epassians by creating a personal development plan individually and supporting development by providing a yearly budget
- We have a unique team environment - international, motivated, supportive colleagues with a great sense of humor
Hiring manager for this position is Head of Data & Analytics Laura Mantere. If you want to ask more information about this opportunity, please contact [email protected].
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