Who We Are
Founded in 2017, Unit8 is a fast-growing Swiss AI and data analytics consulting and services company dedicated to solving complex problems of traditional industries like automotive, chemical, financial services, manufacturing and pharma. We work with some of the biggest organisations in Europe to solve the challenges that directly affect their business - be it operations, finance, manufacturing or R&D. Since our foundation, we have successfully delivered more than 250 projects and have grown to 170+ talented individuals across 8 office locations.
Unit8’s mission is to drive the adoption of AI and Data Science in the non-digital industries and to help accelerate their digital transformation. Among its activities, Unit8 dedicates a part of its resources and time on projects that deeply matter to us - that includes collaboration on pro-bono and “engineering for good” causes. You can learn more about what we are passionate about at Unit8 Talks and on our website you can find more useful information about our business and recruiting process.
Requirements
About You
Unit8 is looking for a Data & AI Engineer to join our team in one of our two offices (Lausanne and Zurich in Switzerland). You will partner closely with our engineers and other data scientists to deliver data-driven applications and solutions. We are looking for a self-driven individual, who is eager to use latest developments in GenAI, data science and computational techniques to address real-world challenges.
- MSc level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics, or equivalent work experience.
- You are a proficient software engineer who knows the fundamentals of computer science and has experience in applying a blend of software engineering, machine learning, and statistical methods to solve real-world business problems
- You have a programming experience in one of the following languages: Python, R, Scala, Java.
- Experience with cloud technologies
- Pragmatic attitude; you are not afraid in taking an active part in the engineering aspects of projects.
- Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields.
- You understand the value of teamwork.
- You have strong client-facing skills: comfortable interacting with clients (business & technical audience), delivering presentations, problem-solving mindset.
- You are willing to travel to meet with our clients and the team (mainly in Europe - up to 20% of your time).
- You speak fluent French or/and German.
What You’ll Do
- Depending on the project, the role may involve working on diverse areas such as cloud engineering and infrastructure, data engineering and ETL (Extract, Transform, Load), as well as machine learning and data science.
- Work with our customers to understand their challenges, design and implement solutions.
- Evaluate, compare and present results to technical and non-technical audience.
- Contribute to the implementation and engineering of systems at different scales: from small proof-of-concepts to larger end-to-end data systems.
- Closely collaborate with other data scientists, software engineers and business stakeholders.
- Use software best practices in continuous integration and delivery, versioning and data evolution.
- Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
Benefits
What we offer
- Opportunity to shape the expansion of leading Swiss data & AI consultancies
- Compensation package including base salary, yearly bonus based on the both individual + company performance
- Above the norm flexibility regarding when and from where you work as long as both client and internal commitments are met
- Work on cutting-edge data, AI & analytics topics (e.g., Generative AI) that have real impact across industries
- Dedicated time and budget for training and pro-bono projects
- 30 paid days off
- Private health care and Multisport
- Cross offices/company-wide frequent events (off-site or online) as well as quarterly budget to spend with the team on after-work activities