- Company Name
- WEG Tech
- Job Title
- Lead Data Scientist
- Job Description
-
Job Title: Lead Engineer – Data Scientist
Location: Coventry, West Midlands
Salary: £46,485 to £55,295 (D.O.E)
Job Purpose:
This role involves advanced research in Data Science and Analytics for automated driving projects, using cutting-edge Machine Learning techniques to analyse real-world and simulation data. You will work with diverse datasets (e.g., accident reports, insurance claims, sensor data) to identify trends, generate scenarios, and develop scalable machine learning pipelines.
As part of the Safe Autonomy Research Group, you will contribute to research on automated transport safety across land, air, and marine domains. The team’s work influences global standards, policies, and industry practices, collaborating with partners through funding from Innovate UK, Horizon Europe, and industry stakeholders.
Successful candidate will also be expected to mentor colleagues with less experience and conduct individual or collaborative research projects.
Key Responsibilities:
Conduct research on data analysis techniques for automated vehicle datasets.
Develop and apply machine learning methodologies, including novel approaches using LLMs.
Engage with industry experts to understand best practices, standards, and regulations.
Provide strategic direction and support for project partners.
Publish research findings in high-impact journals and present at conferences.
Develop and deliver training materials to share expertise with partners.
Ensure project deliverables are met within deadlines and report progress.
Attend and represent at national and international events.
Requirements:
Essential Criteria:
Education: A good honours degree in a relevant field.
Experience: Significant experience in data science, large datasets, and industrial R&D.
Technical Skills: Proficiency in TensorFlow, MATLAB, Python (pandas, numpy, scipy, bokeh), AI algorithms, cluster analysis, and SQL databases.
Data Analysis: Strong mathematical, statistical, and data visualization skills, including efficient analysis of large datasets.
Project Management: Ability to plan, execute, and deliver complex projects to tight deadlines.
Collaboration & Communication: Strong teamwork, interpersonal, and presentation skills, with experience in research collaborations.
Adaptability & Initiative: Ability to work in diverse teams, adapt to new challenges, and provide innovative solutions.
Experimental Work: Willingness to conduct hands-on research.
Desirable:
A doctorate level qualification in a relevant research area
