Data Science & Machine Learning Ops. Enablement Specialist

BT Group; London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A telecommunications leader in London seeks a Data Science & Machine Learning Ops Enablement Specialist to lead data extraction and AI model development. The ideal candidate will have 2-3 years’ experience in Data Science, proficiency in Python and AWS, and a strong understanding of data governance practices. Join a dynamic team dedicated to improving operational efficiency and customer experiences.

Qualifications

• 2-3 years of experience in Data Science or AI algorithms required.
• Proficiency in Python/Java and AI/ML libraries necessary.
• Understanding of data governance practices essential.

Responsibilities

• Lead big data extraction and analysis for decision-making.
• Develop models including data exploration and validation.
• Mentor team members in Data Science and AI practices.

Skills

Data Science

AI Modeling

Python

AWS

Cloud Platforms

Communication

Education

Degree in relevant field

Tools

SageMaker

AI/ML libraries

Job description

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Data Science & Machine Learning Ops. Enablement Specialist

Posting Date: 11 Aug 2025

Function: Data & AI

Unit: Networks

Location:

1 Braham Street, London, United Kingdom

Internal Closing Date:18/8/25

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.

About us

BT Group was the world’s first telco and our heritage in the sector is unrivalled. As home to several of the UK’s most recognised and cherished brands – BT, EE, Openreach and Plusnet, we have always played a critical role in creating the future, and we have reached an inflection point in the transformation of our business.

Over the next two years, we will complete the UK’s largest and most successful digital infrastructure project – connecting more than 25 million premises to full fibre broadband. Together with our heavy investment in 5G, we play a central role in revolutionising how people connect with each other.

While we are through the most capital-intensive phase of our fibre investment, meaning we can reward our shareholders for their commitment and patience, we are absolutely focused on how we organise ourselves in the best way to serve our customers in the years to come. This includes radical simplification of systems, structures, and processes on a huge scale. Together with our application of AI and technology, we are on a path to creating the UK’s best telco, reimagining the customer experience and relationship with one of this country’s biggest infrastructure companies.

Change on the scale we will all experience in the coming years is unprecedented. BT Group is committed to being the driving force behind improving connectivity for millions and there has never been a more exciting time to join a company and leadership team with the skills, experience, creativity, and passion to take this company into a new era.

Why this job matters

We are looking for a Data Science & AI Specialist to obtain value from the full range of all BT data sets using advanced DS and AI models. In this role, you will be responsible for designing and implementing AI applications, while working closely with cross-functional teams. You goal will be to create and implement solutions that supports group’s data strategies, strategic decision making and align with business objectives - to boost operational efficiency, improve network performance, customer experiences, prevent network problems proactively, and streamline operations.

What you’ll be doing – your accountabilities

• 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.
• 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.

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.

Qualifications:

• Wide knowledge and up-to-date academic experience, with a focus on the practical application of AI and data science tools.
• 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.

Although these roles are listed as full-time, if you’re a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch.

We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us.

Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team.