Are you passionate about uncovering the hidden drivers behind business performance? We’re looking for an experienced Data Scientist Contractor to help us identify what makes the highest-performing products in our portfolio stand out and translate those insights into actionable business decisions.
The Opportunity
You’ll work on a high-impact project focused on understanding the characteristics of successful products across a large and diverse portfolio. Building on existing analysis, you’ll validate current assumptions, apply advanced machine learning techniques, and develop a robust framework that explains the key drivers of product performance. This is a highly visible piece of work that will influence strategic decision-making across the business and provide direct exposure to senior leadership stakeholders.
What You’ll Be Doing
- Validating and enhancing existing analytical models and hypotheses.
- Applying unsupervised learning techniques to segment and cluster product data.
- Building supervised learning models to identify and predict high-performing products.
- Using model explainability techniques such as SHAP to uncover and communicate key performance drivers.
- Turning complex analytical findings into clear, compelling narratives for both technical and non-technical audiences.
- Developing scalable, programmatic solutions using data housed within Snowflake.
- Creating engaging stakeholder-facing outputs, ideally leveraging Streamlit.
What/Who We’re Looking For
- Proven commercial experience delivering Data Science projects from problem definition through to insight generation.
- Strong expertise in both supervised and unsupervised machine learning.
- Experience with model interpretability techniques, particularly SHAP.
- Excellent stakeholder communication and storytelling skills.
- Strong Python and SQL capabilities.
- Experience working with Snowflake and ideally Streamlit.
- Ability to challenge assumptions, validate existing work, and build trusted recommendations.
Next Steps
We are shortlisting w/c 1st June with the ideal start within the next 2 weeks. If you enjoy turning complex data into clear business value and want to help define what ”great” looks like across a large product portfolio, we’d love to hear from you.
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