Europe
Flexible
Active development
The company provides services to help clients uphold stringent infection and contamination control standards and adhere to requirements from notable accreditation bodies.
Professional services firm with a strong focus on the following areas:
- Biosafety
- Infection and Contamination Control
- Clean room
Key Offerings:
- Consultancy Services
- Maintenance and Testing: The company tests and maintains clean rooms, biosafety laboratories, controlled environments, biological safety cabinets, horizontal laminar airflow cabinets, isolators, and fume hoods, ensuring they meet international standards.
- Clean Room Solutions: The company offers durable, cost-effective, and chemically resistant clean room solutions.
- Training: They also offer a comprehensive range of training packages to help clients maximize the use of their equipment and technologies, fostering a safe and healthy working environment.
We are looking for a Data Science specialist to help our client leverage technology solutions to guarantee top-quality services in a highly standardized and regulated domain.
The Waverley team offers the candidates a healthy work environment, a strong engineering community, and multiple professional development opportunities. If you have the relevant expertise and the desire to work and grow as an engineer, send us your CV and let’s get to know each other better. We might create the next great thing together!
Requirements:
- Knowledge of mathematics, statistics/probability theory.
- Knowledge of structured/unstructured datasets management.
- Ability to perform common ML tasks (classification, regression, clustering).
- Knowledge of basic ML algorithms.
- Knowledge of deep learning.
- Deep understanding of the ML models training pipeline;
- Proficiency in Python and such ML/DS-related frameworks/libraries as Tensorflow, Keras, PyTorch, Pandas, Numpy, etc.
- Ability to do effort and cost estimation for ML-related projects.
Nice to have:
- Knowledge in outlier/anomaly detection.
- Knowledge of computer vision.
- Knowledge of cloud ML tools (AWS, GCP, Azure).
- Knowledge in predictive/generative AI.
Responsibilities:
- Collect and analyze DS-related requirements and business needs, conduct customer data analysis and processing, create ML models training pipelines, and recommend and implement cost-effective deployment options.
- Depending on the customer-chosen direction, either integrate customized ML stuff into existing customers’ ERP or apply predictive AI to optimize bio labs maintenance effort.