FAQs
What is the primary responsibility of the Data Scientist at Aston Martin?
The primary responsibility is to lead the development and prototyping of innovative AI/ML solutions, focusing on predictive maintenance and generative AI for our ultra-premium automotive brand.
What qualifications are necessary for this role?
A Bachelor’s degree in Data Science, Computer Science, or a related field is required.
What technical skills are essential for this position?
Essential skills include hands-on experience in developing and deploying machine learning models, expertise in Python and data science libraries, experience with generative AI tools, and familiarity with cloud platforms like AWS and Azure.
Are there any preferred qualifications for this role?
Preferred qualifications include experience with advanced RAG techniques, real-time data processing, familiarity with project management tools like Jira and Confluence, and a background in the automotive industry.
What kind of collaborative work environment can I expect?
You can expect a collaborative work environment where you will work closely with ML Engineers, Data Engineers, and Product Managers to ensure seamless integration of prototypes into production.
What are the key soft skills needed for this role?
Key soft skills include strong communication abilities, collaboration, a commitment to deadlines, and a proactive approach to challenging and improving processes.
Is there room for innovation in this role?
Yes, this role encourages innovation by staying ahead of AI/ML advancements and proactively proposing new applications while maintaining a collaborative spirit.
How important is data exploration and engineering in this position?
Data exploration and engineering are crucial, as the role involves analyzing diverse datasets to perform data cleansing, transformation, and feature engineering to optimize model training.
Will there be opportunities for professional development?
Yes, Aston Martin promotes continuous improvement and encourages employees to challenge traditional ways of thinking and improve processes.
How does Aston Martin value diversity in its workforce?
Aston Martin welcomes unique contributions from individuals of diverse backgrounds and celebrates inclusion across various factors, such as culture, ethnicity, gender identity, and more.