Lead Data Scientist

About The AA

For over 100 years, The AA has evolved and adapted to become the nation’s number one motoring organisation. They offer a range of excellent products and services to millions of customers, from roadside assistance to home and motor insurance, as well as providing the latest driving technologies. As they continue to expand, diversify, and modernise, joining as a Lead Data Scientist means playing a key part in their success and contributing to this exciting motoring journey.

As a Lead Data Scientist
, you will design, build, and implement ground-breaking visionary ideas to identify and deliver opportunities for complex analysis. You will gather and analyse data to solve and address problems to support The AA and its customers. This role involves putting models into place to enhance customer experience by predicting future trends, supporting decision making, and driving customer and business benefits. This exciting opportunity will help develop, shape, and evolve the business to continue its drive to expand, diversify, and modernise for all customers across all products and services.

• Lead and build a small team, developing, managing, and motivating Junior Data Scientists.
• Be a leading voice at The AA for data science utilisation, influencing the business for its use where it adds value.
• Create an ongoing pipeline of data science projects and prioritise based on business need and the value they add.
• Deliver quick working prototypes to prove hypotheses by building complex statistical models using a range of tools including Databricks
  , R,
  Python
  , and Spark
  .
• Use algorithms to develop data and analytics products and work with the data engineering team to correctly embed these algorithms within the AA infrastructure.
• Provide consultative subject matter expertise, making suggestions for improvement.
• Keep up to date with modern AI
  , ML
  , and software developments, understanding how they can benefit The AA.
• Proactively understand, prioritise, and manage multiple objectives, inter-dependencies, and risks.

• Proficient Customer Data Analytics experience developing predictive models in R,
  Python
  , and Spark
  .
• Experienced with developing complex statistical models, including regression
  , GLM
  , Neural Networks
  , Decision Trees
  , Bayesian Algorithms
  , Affinity Analysis
  , etc.
• Proven experience in developing Econometrics modelling
  . Understanding of ATL and BTL marketing campaigns and developing econometric ROI for various channels.
• Proven experience in developing Machine Learning algorithms to optimise forecasting accuracy for demand and capacity planning.
• Proven track record in the implementation and delivery of business improving processes/models.

• Strong communicator and collaborator, able to inspire and engage others around your vision including direct team, wider business areas, and key business stakeholders.
• Outside-of-the-box thinking beyond the realms of current approaches and has the tenacity to challenge the status quo, whilst maintaining alignment to the overall business strategy.
• Passionate about Data Science and wanting to drive forward innovative data-thinking.