Lead Data Modeller

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.

**About this role**

Our ability to deliver brilliant personalised experiences for all our 30m customers is fundamental to our future success. As a business we are investing extensively in the automation of our operations and networks, and in building our base management and data capabilities. This will allow us to take better decisions with data and to act on them in an automated way across all our customer interactions.

The Insight and Analytics Chapter use internal and external data sources to develop short, medium
- and long-term recommendations, to improve performance across Base Management. Through strategic insights capability, it also delivers high quality commercial insight to influence CFU and BU level strategy and action. This team provides macro insight, external best practice, diagnostics and problem solving, tailored coding and analysis. It will also build models, develop tests and simulations, develop process automation and take ownership of a knowledge catalogue to support Consumer campaigns.

As an Advanced Modeller lead, you will define direction for Campaign improvement; manage a talented team of modellers and drive the deployment and delivery of tests, diagnostics, simulations and propensity
- to-purchase and churn modelling that are vital for the profitability and optimisation of our base Campaigns.

**You'll have the following responsibilities**
- Responsible for defining the direction, structure, processes and standards to enable the advanced modelling team towards best in class Campaign evaluation.
- Drive the creation of driver-based models and simulations to determine impact and assess outcomes covering the ExAnte and Post evaluation, and sizing of campaigns across all brands.
- Manage the definition of requirements for the successful analysis of base marketing, including future focus on more personalisation at scale and 1-2-1 interactions
- Drive the profitability assessment of campaigns through Customer lifetime value analysis, propensity to purchase and churn models assessing value impact of base communications across all brands.
- Contributing to building a team culture for continuous improvement, engagement and an environment where team can spend time looking ahead and proving out new approaches, technologies and tools for Campaign modelling and analysis.
- Understand the various types of visualisation tools in the market, their strengths & weaknesses, and manage the delivery of self-serve solutions ensuring access to campaign out puts across all teams through visualisation tools, automated front end development and reporting.
- Conduct baseline scoping and post program measurement statistical analysis of campaigns from multiple data sources using SQL, R, Python.
- Identify opportunities to improve Campaign adoption and conversion through a test and learn approach on marketing campaigns.
- Continually look for how we can evolve and improve our technology, processes and practices to operate at pace and at scale.
- Work with our engineers, data scientists, CRM, insights, product managers and analytics professionals to optimise existing campaigns, create new ones, and create new ways to engage with our consumers through our product offering.

**You'll have the following skills & experience**
- Strong knowledge and expertise in programming background, data science tools, SQL development along with either Python or R as well as expert knowledge of public cloud platforms such as AWS or GCP.
- Successful previous experience in a similar leadership role with responsibility for driving the growth and capabilities of a team of analysts-modellers
- Strong experience in model simulation on a CRM and campaign environment.
- Solid exposure to various machine learning techniques
- Expertise in combining disparate datasets and development of customised algorithms
- Experience in GIS/mapping and Geo modelling
- Experience in visualisation tools such as Qlik/PowerBi/Tableau etc
- Academic background in a relevant quantitative field e.g. Engineering, Data Science, Statistics, Mathematics, Computer science, Physics

**It is expected to have;**
- Strong problem solving and analytical skills
- Critical thinking skills
- Commercial acumen understanding the commercial environment surrounding base and our brands and how the outcomes wil