
Data Science, AI Specialist
BT Group
full-time
Posted on:
Location Type: Office
Location: London • United Kingdom
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About the role
- 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.
Requirements
- 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.
Benefits
- Annual On target bonus 10% (personal and company multipliers)
- BT Pension scheme; minimum 5% employee contribution, BT contribution 10%
- Life Assurance
- Direct share scheme
- Exclusive colleague discounts on our latest and greatest BT broadband packages
- 50% off EE mobile pay monthly or SIM only plans and 50% discount for friends and family on EE SIM only plans
- My Discounts gives colleagues access to unbeatable savings on everyday purchases at hundreds of retailers
- Discounted EE TV including TNT Sport and the NOW Entertainment membership
- Great support for working parents including pay whilst on maternity, adoptive, and paternity leave
- Option to join the Healthcare Cash Plan or other benefits such as dental insurance, gym memberships etc.
- 25 days annual leave (not including bank holidays), increasing with service with buy holiday option
- Volunteering days so you can give back to your local community
- Brand new electric vehicle salary sacrifice arrangement, known as ‘My EV’
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Machine LearningArtificial IntelligenceData ScienceData ExplorationFeature ExtractionModel ValidationModel ScoringData ModelingProgramming (Python, Java)MLOps
Soft skills
CommunicationLeadershipCoachingCollaborationResearch