R&D Software Solution
London, GB, E16 2BF
Bühler is active in over 140 countries and has more than 13,000 employees worldwide. Every day, two billion people consume foods made with Bühler processes, including flour, rice, pasta, chocolate, coffee, and beer. We are continuously working to create sustainable innovations for a better world. Our aim is to transform the world’s most pressing food and mobility challenges into sustainable technologies, process solutions, and services. Our Optical Sorting business in the UK has been a pioneer in sorting technology since 1947, earning five Queen’s Awards for its exceptional contributions. With the capability to optimise over 300 commodities, we are a trusted provider of cutting-edge sorting technology worldwide.
Reporting to the Head of Innovation, the Junior Data Scientist will be responsible for contributing to the development of Optical Sorting digital products and services. To prototype, develop and maintain AI / ML algorithms and support the lifecycle maintenance of Optical Sorting digital products and services, e.g. SORTEX Monitoring System, ModeAssist and MLOps platforms.
Tasks/Responsibilities
- Collaborating in a multidisciplinary global team including domain experts, application engineers, data engineers, product managers and project managers to develop data-driven solutions
- Prototyping solutions to business problems using AI / machine learning algorithms or more conventional statistical / mathematical techniques
- Working with stakeholders across the business to identify opportunities for leveraging data to drive business solutions
- Participating in the design and development of data architecture and data management systems.
- Utilizing statistical techniques and concepts.
- Applying software engineering best practices when writing code.
- Ensuring compliance with data governance and security policies.
- Presenting and clearly communicating complex solutions for non-technical audiences.
Required Qualifications
- You will ideally have a bachelor’s degree in STEM, computer science or related field
- Demonstrable development experience within data science.
- Strong programming skills, particularly in Python
- Knowledge of deep learning and machine learning algorithms, including their application and maintenance within production systems.
Preferred Qualifications
- Master or Ph.D. degree in STEM, computer science or related field.
- A strong mathematical and statistical background with a strong understanding of statistical inference, experimental Design, sampling and simulation.
Benefits
- Comprehensive benefits.
Remuneration
Between £50 - £60K.
Application documents
- Apply using your curriculum vitae
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