About Us
Polymodels Hub Ltd is growing its data science team to support cutting-edge modeling projects for the pharmaceutical industry. We are looking for a Junior Data Scientist to contribute to the design and implementation of advanced process models, machine learning applications, and monitoring solutions. This is a fantastic opportunity to gain hands-on experience in a dynamic and fast-paced environment.
Responsibilities
Modeling & Machine Learning Applications
- Assist in the development, validation, and deployment of process models and machine learning algorithms for process monitoring and anomaly detection.
- Perform data preprocessing, feature engineering, and exploratory analysis to support modeling efforts.
- Collaborate with senior scientists to enhance alarm strategies for batch loss avoidance and process optimization.
Collaboration & Documentation
- Work closely with senior team members and client stakeholders to execute project tasks effectively.
- Document workflows, data pipelines, and results to ensure clarity, repeatability, and alignment with operational goals.
Innovation & Problem Solving
- Contribute to data analysis and integration efforts, including handling data from sources like OSI-PI, SAP, or MES systems.
- Propose innovative solutions for process monitoring challenges by developing creative workarounds to technical and scientific obstacles.
Qualifications
Educational Background:
- MSc in Chemical Engineering, Data Science, or related fields, with coursework or projects focused on machine learning, process monitoring, or anomaly detection.
Technical Skills:
- Practical experience with machine learning algorithms for process monitoring and anomaly detection.
- Strong foundation in Multivariate Analysis (MVA) and familiarity with platforms like SIMCA, Python, or MATLAB.
- Ability to work with data from various systems (e.g., CSV, SQL, Deltatables) and preprocess it for analysis.