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Data scientist

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  • Job
    Full-time
    Senior Level
  • Data
    Software Engineering
  • Coventry

Requirements

  • Bachelor’s degree in Data Science, Computer Science, or a related field.
  • Hands-on experience developing and deploying machine learning models, particularly in automotive or IoT contexts.
  • Expertise in Python, data science libraries, and tools like GitHub for versioning and branching.
  • Experience with generative AI tools like Hugging Face and implementing solutions on platforms like Azure ML Studio, MLflow or Sagemaker.
  • Strong problem-solving skills, with a proactive, self-driven approach to overcoming challenges.
  • Excellent communication skills to convey complex ideas clearly.
  • Familiarity with cloud platforms such as AWS and Azure.
  • Experience with advanced RAG techniques and real-time data processing.
  • Familiarity with Jira and Confluence for project management in agile environments.
  • Background in the automotive industry, especially with connected car data or predictive maintenance.

Responsibilities

  • AI/ML Prototyping: Develop and prototype AI/ML models for predictive maintenance and generative AI, leveraging tools like Langchain, open-source LLMs, and advanced RAG techniques (e.g., GraphRAG, multimodal RAG).
  • Data Exploration & Engineering: Analyse diverse datasets (e.g., CAN signals, CRM, service records), performing data cleansing, transformation, and feature engineering to optimize model training.
  • Iterative Model Improvement: Continuously refine and optimize models, ensuring alignment with business needs and real-world applications.
  • Visualisation & Communication: Create clear, compelling visualisations and present insights effectively to both technical and non-technical stakeholders.
  • Cross-Functional Collaboration: Collaborate closely with ML Engineers, Data Engineers, and Product Managers to ensure seamless integration of prototypes into production, fostering teamwork and knowledge-sharing.
  • Innovation & Initiative: Stay ahead of AI/ML advancements, proactively proposing new applications and driving projects independently while maintaining a collaborative spirit.

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.

#INTENSITYDRIVEN

Automotive
Industry
1001-5000
Employees
1913
Founded Year

Mission & Purpose

Aston Martin. The pinnacle of automotive engineering underpinned by the strongest portfolio of cars in the brand’s history. Housed at Gaydon, Warwickshire, Aston Martin is a collective with a clear vision to become the most desired ultra-luxury brand. This belief is solidified by five values: Unity, Openness, Trust, Ownership and Courage with a commitment to make a great place to work and developing the finest talent. All this whilst connecting drivers across the world to the very soul of the car. A pulsating experience that races through every disc, every capillary of the bloodstream.