Our mission is to break down the barriers of today to release the potential of tomorrow. Join us today and release yours.

There are two things that we want to share with anyone considering joining us.

Firstly, we’ve got big ambitions for our colleagues and the future of the organisation. These include our vision that inclusion and accessibility drive every conversation we have and every decision we make. We want our workforce to fully represent the communities and customers we serve, because a diverse business is a better business. We value every colleague, their diversity and the contribution that they make. When we say you’re welcome at BT, we really mean it.

Secondly, the one thing the pandemic has taught us is that a lot of current and future colleagues, where and when possible, want to embrace hybrid working. Therefore, we are introducing smart working at BT. Smart working means having the flexibility to choose, as a team, how and where you work depending on your team’s deliverables and needs; when you are at your shared core location to connect with others and when not. It may not be for every role, and, as part of the recruitment process, you’ll have the chance to discuss smart working and how it might work for the job you are applying for.

About this role

Are you interested in having a real impact on millions of customers in the UK?

Want to see your solutions have a tangible impact on key business KPIs such as Churn, Conversion and Customer Satisfaction?

Here in the Data Science team for BT Enterprise, we’re working hard to ensure that the Machine Learning solutions we build are centred around creating a personalised customer experience that ensures each customer’s needs are catered for whilst having the responsibility of positively impacting key business KPIs.

This is an excellent opportunity to join a gowing data science team which is ustilising the latest cloud technologies to deliver decisionling solutions fo the Enterprise busines of BT.

You'll have the following responsibilities

Work together with business stakeholders to define the purpose and structure of predictive Data Science models

Develop and operate Machine Learning tools and predictive models, using XGBoost, Tensorflow and more, both on-premises and on AWS/Google Cloud Platform

Identify the appropriate data sources, create new data features and engineer the raw data to model input pipeline

Maintain and evaluate models, implement Control Groups and A/B testing regimes to estimate the value of the models for the business and communicate the results to the relevant stakeholders

Identify new opportunities to add value to the business through the application of Data Science, Machine Learning and AI techniques

Nurture strong stakeholder relationships to help build up a good understanding of their business areas

Work in agile squads or cross-functional project teams as the data science expert

Coach more junior members of the Data Science team and help them develop.

You'll have the following skills & experience

Experience in developing Data Science tools using coding in Python (including functions, pandas and sklearn pipelines) and SQL

Experience with using open-source Machine Learning frameworks such as XGboost, scikit-learn and TensorFlow

Knowledge of the fundamental Statistics and how Machine Learning models such as random forests and neural networks work

Experience in presenting complex problems to a non-technical audience using plain language

Ability to build well-rounded predictive models using common ML frameworks such as XGBoost, scikit-learn and TensorFlow

Ability to deploy Machine Learning models on Cloud Platforms such as AWS and GCP

Ability to explain ML solutions in simple terms for non-technical stakeholders

Able to communicate and present complex data problems effectively to influence key business decisions

Able to wrangle and cleanse data

Able to work well in a team, to create strong and trusting stakeholder relationships, and to collaborate across the business

Interested in continuously developing skills in the areas of Data Science, Machine Learning, AI and Cloud.

Good to have: a deep understanding of fundamentals of probability and statistics.

Benefits

Competitive salary

10% on target bonus

25 days annual leave (plus bank holidays an dincreasing with tenure)

Pension scheme (up to 10% BT contributions)

Shares Plan

Flexible benefits: cycle to work, childcare vouchers, healthcare, etc.

Discounted BT products and services

About BT

BT has a key role in British society, fostering change and leading technology innovation. From delivering the Olympics, to supporting the emergency services, to investing more into research than any other UK technology company, we take pride in everything we do - and in the people who work here.

We're now a global company operating at the forefront of the information age, employing 90,000 people in 180 countries. And we're on a mission. Guided by our core values of Personal, Simple and Brilliant our goal is to help customers, communities and businesses overcome barriers and release their potential.

So, if you're interested in the power of potential, why not join us today and release yours? You can read more here about what it's like to work at BT

How to Apply

It's easy to apply online; you just need a copy of your up-to-date CV and to follow the step-by step process. Don't worry if you need to make changes - you'll have the opportunity to review and edit your work on the final page. We look forward to receiving your application!