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Data Scientist
2 months ago
Aston Martin Lagonda Ltd is seeking a highly skilled Data Scientist to lead the development and prototyping of innovative AI/ML solutions for our ultra-premium automotive brand. As a key member of our team, you will be responsible for driving our AI initiatives from concept to implementation, leveraging tools like Langchain, open-source LLMs, and advanced RAG techniques.
Key Responsibilities- AI/ML Model Development: Develop and prototype AI/ML models for predictive maintenance and generative AI, ensuring alignment with business needs and real-world applications.
- Data Exploration & Engineering: Analyze diverse datasets, 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.
- • 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.
- • Collaboration – builds & maintains effective relationships within own function as well as across departments. Collaborates within teams to achieve goals. Team player with 'can-do' attitude.
- • Internal customer focus – always focuses on high attention to detail & demonstrates accuracy in their work with the end user/customer in mind.
- • Communication – ensures communication has a clear purpose, is factual, accurate & provided at the right time. Proactively shares information with colleagues & stakeholders. Excellent written communication skills for report writing & concerns raising. Able to verbally communicate at all levels.
- • Commitment – takes ownership of objectives, work activities & behaviour, & makes informed decisions backed by data. Commits to deadlines & achieving milestones Strong time management, ability to balance and prioritise multiple tasks to meet customer/business needs.
- • Continuously challenge & improve – takes initiative & uses data to challenge traditional ways of thinking & improve processes & working practices.