Data Science & AI Specialist

What you’ll be doing

• Leads the extraction and analysis of Mobile data through the application of Machine learning & 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.
• Leverage Amazon SageMaker's capabilities, such as SageMaker Studio, Pipelines, and Endpoints, to streamline the process of building, training, evaluating, and deploying models at scale.
• Implement and maintain robust Machine Learning Operations (MLOps) practices, including CI/CD pipelines, model versioning, monitoring for drift and performance, and automated retraining processes.
• Collaborate on data acquisition, preprocessing, feature engineering, and data analysis to prepare large datasets for model training.
• Leads the identification of opportunities and implementation of Sagemaker machine learning techniques to derive business insights.
• Drives machine learning model development, including data exploration, training data, feature extraction, validation and scoring..
• Contributes towards the development of machine learning guidelines, policies, and architecture which supports scalable machine learning pipelines. 
• Drives new data set sourcing, transformation and preparation new data sets from across the BT group’s platforms to build foundational data models for data science, analytics and machine learning.

The skills you'll need

• 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.