Data Science & AI Specialist - AWS

Summary: The Data Science & AI Specialist role focuses on leveraging advanced AI and data science to enhance decision-making, network performance, customer experience, and operational efficiency. The position involves designing, building, and deploying AI models while collaborating with cross-functional teams to align with business strategies.

Key Responsibilities:

• Design and implement AI/ML models and data pipelines using Python, SageMaker, and cloud platforms.
• Translate insights into business impact through storytelling, visualisations, and practical applications.
• Champion ethical, interpretable, and robust AI practices.
• Mentor and support team members, promoting best practices and innovation.
• Act as an AI evangelist, bridging technical and business audiences.

Key Skills:

• Strong Python, SageMaker, and cloud (AWS) experience.
• Proven ability to build, validate, and scale AI/ML models.
• Expertise in data storytelling and business case development.
• Knowledge of AI/ML trends, ethics, and applied data science.
• Excellent communicator, able to simplify complex ideas for diverse audiences.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Data Science & AI Specialist

Drives value from data through advanced AI and data science, delivering solutions that enhance decision-making, network performance, customer experience, and operational efficiency. Responsible for designing, building, and deploying AI models and working closely with cross-functional teams to align with business strategy.

Key Responsibilities:

• Design and implement AI/ML models and data pipelines using Python, SageMaker, and cloud platforms.

• Translate insights into business impact through storytelling, visualisations, and practical applications.

• Champion ethical, interpretable, and robust AI practices.

• Mentor and support team members, promoting best practices and innovation.

• Act as an AI evangelist, bridging technical and business audiences.

Skills & Expertise:

• Strong Python, SageMaker, and cloud (AWS) experience.

• Proven ability to build, validate, and scale AI/ML models.

• Expertise in data storytelling and business case development.

• Knowledge of AI/ML trends, ethics, and applied data science.

• Excellent communicator, able to simplify complex ideas for diverse audiences.