BT Group

Data Science, AI Specialist

BT Group

full-time

Posted on:

Location Type: Office

Location: LondonUnited 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