Partner with stakeholders to turn commercial questions and opportunities into well-defined data science problems.
Develop solutions across areas including churn and retention, CLTV, segmentation, propensity modelling, customer targeting and optimisation.
Build robust feature engineering, training and inference pipelines, using technologies such as Python, PySpark and Databricks.
Help take models into production through automated workflows, testing, version control, CI/CD, monitoring and model lifecycle management.
Collaborate with data engineers, platform teams and fellow data scientists to create scalable, reliable solutions while maintaining high standards of data quality, model governance and responsible AI.
Here’s what we’re looking for
Experience applying statistical analysis and machine learning to real-world business problems.
Strong programming skills in Python and SQL, with experience working with large and complex datasets.
Experience with, or exposure to, PySpark and Databricks.
A good understanding of machine learning techniques, which could include classification, regression, gradient boosting/XGBoost, segmentation, propensity modelling or survival analysis.
Experience or knowledge of production ML practices such as Git, CI/CD, MLflow, automated testing, model deployment and monitoring.
Strong analytical thinking, with the ability to take an ambiguous business question through exploration and modelling to an actionable recommendation.
The ability to explain complex analytical approaches, assumptions and results clearly to both technical and non-technical audiences.
A collaborative and curious approach, with a willingness to learn, challenge existing thinking and share knowledge.
Experience within customer analytics, energy, utilities, retention, pricing or commercial analytics would be beneficial, but isn't essential.
Location
We operate a Flexible First approach, giving colleagues flexibility in how and where they work. This role can be predominantly home-based, although ideally you will be based within commutable distance of our Cardiff site and be flexible to travel across our sites as may be needed on occasion for team meetings.
Why should you apply?
We’re not a perfect place – but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we’re a great place to work and what being part of more means for you.
https://www.morethanacareer.energy/centrica
If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.
Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey.
