First seen by Alion on Nov 10, 2026. Euromonitor scores B on the Alion truth index.
In Data Science we work with the data from the fast-changing consumer goods world. Data comes both from standardized databases and from online retail channels in various forms like semi-structured text in various languages, images, or precise numeric values.
Currently we are looking for a new colleague to join the team and assist in developing new and improving existing ML models according to our client feedback and suggest new ways of looking at the data which would result in new product.
What you'll do:
- Formulating hypotheses and developing proof-of-concept ML models for NLP and image processing
- Supervised/unsupervised learning tasks
- Translating industry-specific knowledge into proper models
- Monitoring and ensuring data quality
- Communicating insights effectively in both written and visual ways
What we're looking for:
- Background in Mathematics, Physics, Natural Sciences, or Engineering fields, with relevant working experience of 2+ years
- Advanced knowledge of Python, understanding of merge-request git flow, basic scripting including CI/CD, regular expressions, shell commands, and basic web app development skills
- Good coding habits such as proper documentation, linting, styling, reproducibility, code review best practices, and test-driven development
- Skills to maintain ML models: measure performance, add/remove classes, create effective labeling batches, retrain with assessment of the impact
- Ability to suggest model improvements, propose working solutions for business problems, ensure the model works with existing models, track model experiments, and keep model documentation updated
- Skills to clearly communicate problem status, actions taken, conclusions, improvements, and limitations
- Understanding of which visualizations to use with different data types, comfort with at least one visualization framework, and capability to create shareable/dynamic reports/apps
- Proficiency in applying EDA principles, classical supervised/unsupervised learning techniques, main NLP techniques, a good understanding of deep-learning techniques, and awareness of model and computational complexity
Skills
CI / CD, Deep Learning, Git, Image Processing, Machine Learning, NLP, Natural Language Processing, Python, Regex, Shell, Web Development

