About the job
About Us
Established in 2017, Unit8 is a rapidly expanding Swiss consulting firm specializing in AI and data analytics. We are passionate about tackling the intricate challenges faced by traditional sectors such as automotive, chemicals, financial services, manufacturing, and pharmaceuticals. Collaborating with leading organizations across Europe, we address issues that directly impact their operations, finance, manufacturing, and R&D. To date, we have successfully completed over 200 projects and have built a talented team of more than 150 professionals across six office locations.
At Unit8, our mission is to promote the integration of AI and Data Science into non-digital industries while facilitating their digital transformation. We actively engage in initiatives that resonate with our values, dedicating resources to pro-bono projects and 'engineering for good' efforts. Discover more about our passions on our YouTube channel and explore our website for further insights into our business and recruitment process.
Our Recent Projects
- Developing a real-time production line monitoring system for the pharmaceutical industry to enhance manufacturing efficiency using technologies such as AWS, EKS, CloudFormation, Docker, and Python.
- Creating a system to calculate and deliver global climate scores that assess the impact of climate change on natural disaster risks for the insurance sector, utilizing PySpark, Python, and our proprietary data processing platform.
- Implementing a modern data science platform that includes a data lake for the chemical industry using Azure, ML Studio, Data Factory, Databricks, and Spark.
Your Role
As Unit8 continues to expand, your role will evolve based on the challenges presented by our clients. As a vital member of agile project teams, your primary mission will be to design and implement solutions and infrastructure that address business challenges.
Your key responsibilities will include:
- Designing, building, maintaining, and troubleshooting data pipelines and processing systems critical for production and analytics applications, employing a diverse array of technologies.
- Driving optimization, testing, and tooling to enhance data quality.
- Collaborating with software engineers, machine learning specialists, and stakeholders, seizing learning and leadership opportunities daily.
- Working within multi-functional agile teams to continuously experiment, iterate, and achieve new product objectives.
- Engaging with clients to understand their needs and deliver tailored solutions.

