Data Scientist

Job Title: Data Scientist
Type: Permanent
Location: Cambridge, UK

Hybrid Working Available
No Sponsorship Available
No Contractors Accepted

Brief:

To develop complex data analysis, interpretation and visualization using our data. Collaborate with software team to build production algorithms part of our IOT platform. To support any laboratory activity such as corrosion experiments to expand our database and generate more accurate algorithms.

Responsibilities:

1. Working independently and alongside the technology team to develop new features and models for the analytics platform of our products.
2. Using analytical, statistical or machine learning techniques to interpret field and laboratory sensor data for detection and prediction of industrial asset integrity.
3. Translate Risk Base Inspection standards to real-time algorithms integrated with our monitoring systems.
4. Client reports generation, with data insights and advisory to our clients.
5. Building strong relationships, communicating and collaborating with clients and colleagues.
6. Undertake pre-processing of structured and unstructured data.
7. Analyse large amounts of information to discover trends and patterns.
8. Build predictive models and machine-learning algorithms.
9. Develop unit tests.
10. Deliver working software according to the “good code” standard of the company.
11. Documentation of the algorithms and data processing methods.

Key Requirements:

1. MSc or PhD in science, mathematics, or engineering.
2. Python (NumPy, Pandas, Matplotlib, Scikit-Learn, scikit-rf, SciPy).
3. MS SQL Server, SQLite.
4. Advanced Excel, prototyping UIs and algorithms.
5. Agile/Scrum methodology and framework.
6. Jira software.
7. GitLab.
8. Lab experiments design and development.
9. Knowledge and experience in data analytics (statistics, predictive analytics, machine learning).
10. Knowledge of signal processing techniques (frequency and time series analysis, frequency and time transforms, filters, de-noising techniques, wavelets).

If you’re interested please apply via the 'Apply now' button.

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Created on 18/04/2025 by TN United Kingdom