Description
model deployment
feature engineering
predictive modeling
reporting
commercial modeling
churn modeling
In this role, you won't just analyse data; you'll answer the critical questions that drive our strategy. We're looking for someone to use advanced data science and machine learning to uncover the 'why' behind customer behaviour, such as identifying complex churn triggers for our energy customers. You will also develop and own the models that quantify key business metrics like Customer Lifetime Value (LTV) and Customer Acquisition Cost (CAC).
- Partner with our Machine Learning and Software Engineering teams to deploy your models as scalable, reliable, and robust services using Docker and Kubernetes.
- Clearly document and communicate complex findings, model results, and actionable insights to both technical and non-technical stakeholders.
- Own the complete development lifecycle for your machine learning models, from data gathering, feature engineering, and POC to model training, validation, and production deployment.
- Design and execute advanced statistical and predictive models to understand the key drivers of customer behaviour, retention, and engagement.
- Keep up to date with the latest research and developments in data science, machine learning, and MLops, and champion new approaches within the team.
- Develop and refine sophisticated models to measure and predict key commercial outcomes and customer behaviours (e.g., lifetime value, acquisition efficiency), providing critical insights to our marketing and commercial teams.
Requirements
python
ml theory
pandas
xgboost
3-5 yrs
communication
Please note, if you are successful and offered a role at UW, you will be subject to a background check. Where checks are unsatisfactory or incomplete and/or a failure to reveal information relating to convictions that you are required to identify as part of the background checks, could lead to withdrawal of an offer of employment.
This isn't a research role. We need a "full-stack" data scientist who can own the end-to-end ML lifecycle. You will take your ideas from initial Proof of Concept (POC) and exploratory analysis all the way through to building, deploying, and maintaining production-ready models, collaborating closely with our Machine Learning Engineers.
- Excellent communication and data storytelling skills.
- Proven experience (e.g., 3-5+ years) in a data scientist role, tackling complex, high-impact business problems like customer behaviour analysis, segmentation, or commercial value modelling.
- A deep understanding of machine learning theory and practical application (e.g., regression, classification, clustering, time-series forecasting, survival analysis).
- Solid object-oriented programming skills in Python and hands-on expertise with the core data science stack (Pandas, Numpy, Scikit-learn, XGBoost/LightGBM).
- A proven ability to break down vague, complex problems into concrete, solvable steps.
- You can build strong relationships and manage expectations with diverse stakeholders.
Benefits
Hi! We're UW. We’re on a mission to take the headache out of utilities by providing them all in one place. One bill for energy, broadband, mobile and insurance and a whole lot of savings!
We provide equal opportunities, a diverse and inclusive work environment, and fairness for everyone. You are welcome to apply no matter your age, disability, gender, marriage or civil partnership status, pregnancy and maternity status, race, religion or belief, or sexual orientation. Please don’t be afraid to ask about what we can do to support your needs. All requests will be carefully and fairly considered.
- An industry benchmarked salary. We’ll share it during your first conversation.
- Enjoy a discount on our services and receive our coveted Cashback Card for free.
- A matched contribution pension scheme and life assurance up to 4x your salary.
- Discounted private health insurance, access to an Employee Assistance line and a free Virtual GP.
- Share Options and Save as You Earn scheme.
- Family-friendly policies, designed to help you and your family thrive.
Training + Development
Information not given or found
