Job description

This opportunity


Our vision in the Customer Lifecycle Management (CLM) tribe is to create Data Science and AI ecosystems (platforms, tools, and processes) that will help us create the best in-class experience for our customers. So far, we have proven the value of the first level of the automated solution and are gearing up for a move to the next level, which will include improving and expanding the current suite of analytical models as well as implementing CI/CD/CT practices to further optimise the MLOps pipeline as well as the core decisioning capabilities.


In this next stage of our journey, we are looking to grow our data science team to help us identify and develop new applications of data science to further enhance the exiting algorithms and solutions. Your role, alongside the other data scientists in the CLM tribe, will be largely focused on building or enhancing the models that drive personalisation across various product lines and channels within the Vodafone brand. In addition, you will be working very closely with business stakeholders to understand business’ strategy and objectives as well as their and customers’ pain points to identify opportunities for change. You will achieve this through the development of supervised and unsupervised algorithms using various data-sets available.


Knowledge and experience


Bachelor’s or Master’s Degree in quantitative fields such as Maths, Statistics, Ops Research, Computer Science Engineering or Artificial Intelligence


Experience in an Applied Data Science role or equivalent developing ML models in a Telecom, Retail or Financial Services Industries.


Solid knowledge of, and experience with, statistical modelling techniques and the mathematical foundations of applied ML and AI algorithms and models.


Confident in writing and applying programming code in Python, and hands-on experience with statistical packages and ML/DL libraries/frameworks.


Prior experience in mining large and complex data sets using SQL, Hadoop, NoSQL or Spark.


Experience working on AWS Cloud and associated services.


Experience With Recommender Systems, Pricing, Optimisation Algorithms (preferred)


Have a passion and track record of translating loosely defined business problems into tangible use cases and using data and advanced analytics to deliver solutions solving them.


Ability and desire to convey and socialise complex data science concepts in a clear and unambiguous way to business stakeholders.


Benefits and perks


Flexible hybrid way of working (from home and office).


‘Stay Connected Mobile’ – Access to a free mobile plan.


‘Stay Connected NBN’ – Access to a free NBN 100 plan.


‘Your Leave’ - an additional 4 days of leave to be used whenever you like - every year.


Access to TPG Learning Hub platform and internal development opportunities.


Access to Corporate Partner Discounts.


Bolder and better together!


Don’t meet every single requirement? Studies have shown that women and those of underrepresented groups are less likely to apply for roles unless they meet every single criteria. At TPG Telecom we recognise that what may make you different, makes the difference!


We’re all about enabling every individual to be their authentic selves and creating a place where everybody belongs. If you are excited about this role, but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to APPLY NOW regardless. You may just be the right candidate for this or perhaps another similar role with us.

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