Upstream Data Scientist – Machine Learning / Deep Learning
We are currently looking for an experienced Data Scientist to join an exciting engineering-focused project.
The ideal candidate will have 4–5 years of professional Data Science / Machine Learning experience and strong hands-on knowledge of both Classical Machine Learning and Deep Learning.
Key Requirements:
- 4–5 years’ professional Data Science / Machine Learning experience
- Strong Python programming skills
- Hands-on experience with Classical Machine Learning and Deep Learning
- Strong understanding of Neural Networks
- Experience with data preprocessing and feature engineering
- Model evaluation and hyperparameter tuning experience
- Good working knowledge of SQL
- Experience working with small, noisy or complex datasets
Desirable Experience:
- Time-series or sequential data
- Physics-Informed ML or hybrid Physics + ML modelling
- Engineering, scientific or industrial datasets
- Cloud platforms and MLOps/deployment workflows
The Role:
You will work across the full ML/DL lifecycle, including data preparation, predictive modelling, model validation, deployment and continuous improvement.
This is an excellent opportunity to work on real-world engineering data and develop scalable predictive solutions using Machine Learning, Deep Learning and Neural Networks.
Benefit of Working with Visuna?
- A dedicated member of the team responsible for your placements and welfare
- Some of the best day rates in the industry
- FREE worldwide insurance and Medevac cover whist on a Placement
- 24/7 access to our specialist support team
- Assistance and advice on a range of business topics
- FREE access to our Competency Scheme
- Increased exposure to potential clients and more placement opportunities