What you’ll do
- Develop advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS)
- Analyse large amounts of information to discover trends and patterns in complex datasets.
- Design experiments and build models that can help improve customer experience or optimise operational efficiency.
- Collaborate with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions.
- Create visualisations of results using various SaaS platforms or other Python software packages.
- Monitor performance of models over time by tracking key metrics.
- Present findings in a clear manner using reports or presentations.
What you’ll bring
- Proven commercial experience delivering data science projects end-to-end—from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights.
- Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling.
- Prior exposure to time series forecasting.
- Strong Python background with the ability to write clean, modular, and maintainable code following best practices including abstraction, exception handling, and testing to support long-term maintainability.
- Highly skilled in SQL, especially in the context of data exploration, reporting, feature creation/extraction, and integration with analytic workflows.
- Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit, or Superset, enabling clear communication of model outputs and analytical insights.
- Comfortable working in Agile environments, participating in sprint planning, retrospectives etc.
- Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders.
The rewards
- Sky Q, for the TV you love all in one place.
- A generous pension package.
- Private healthcare.
- Discounted mobile and broadband.
Inclusion & How You’ll Work
We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.
We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.
Your Office Space
Brick Lane: Our Brick Lane office is in the heart of the East End of London. It’s part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk.
The hybrid working expectations for this role are 2 days in the office per week in Brick Lane.
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