What you’ll be doing
• Design and create analytical data models that deliver value.
• Demonstrate the practical use of models and innovate in applying models to deliver value quickly.
• Explore and discover data using tools such as Python and SageMaker, and prepare detailed implementation approaches for production.
• Act as an AI evangelist, communicating a detailed understanding of how models work and effectively conveying this information to appropriate audiences.
• Work collaboratively to achieve consensus and demonstrate value in a team setting.
• Leads the extraction and analysis of big data through the application of Data Science & AI techniques to generate insight from data to support decision-making across the business or to embed in new products and services.
• Drives model development, including data exploration, training data, feature extraction, validation and scoring.
• Drives the development of insightful visualisations to make sophisticated analyses accessible to a broad audience.
• Drives initiatives related to fairness, ethics, interpretability, safety, robustness, and privacy in the context of artificial intelligence and machine learning.
• Mentors other Data Science & AI professionals, helping to improve the team’s abilities by acting as a technical resource.
• Champions, continuously develops and shares with team knowledge on emerging trends and changes in machine learning and artificial intelligence.
The skills you'll need
• Strong experience with Python, SageMaker, and other relevant tools.
• Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical audiences.
• Proven ability to work collaboratively and achieve consensus within a team.
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Experience you’d be expected to have
• 2-3 years+ of proven success at applying Data Science approaches or developing and shaping AI algorithms and models. (Mandatory)
• Cloud Platforms - Experience with AWS cloud services for scalable AI & data solutions. (Mandatory)
• Experience in programming languages such as Python/Java and strong knowledge of AI/ML libraries. (Mandatory)
• Solid understanding of software architecture, data modeling, and various data structures.
• Knowledge of data governance practices to ensure data quality, security, and compliance.
• Demonstrates a comprehensive understanding of ethical considerations related to artificial intelligence and possesses the capability to develop and implement fair and responsible AI solutions.
• Research skills to stay up-to-date with the latest AI trends and continue to learn new techniques.
• Excellent communication – the ability to listen and to share ideas clearly to a range of audiences.
• Experience in leading, managing and/or coaching others – particularly those in technical roles, whether as a line manager or not.
Our leadership standards
Looking in:
Leading inclusively and Safely
I inspire and build trust through self-awareness, honesty and integrity.
Owning outcomes
I take the right decisions that benefit the broader organisation.
Looking out:
Delivering for the customer
I execute brilliantly on clear priorities that add value to our customers and the wider business.
Commercially savvy
I demonstrate strong commercial focus, bringing an external perspective to decision-making.
Looking to the future:
Growth mindset
I experiment and identify opportunities for growth for both myself and the organisation.
Building for the future
I build diverse future-ready teams where all individuals can be at their best.