The Role:
* Analyse large and complex datasets to uncover trends, correlations, and actionable patterns.
* Develop and maintain dashboards, reports, and visualisations that provide stakeholders with clear, data-driven insights.
* Translate business problems into structured data questions and analytical approaches.
* Evaluate data quality and suggest improvements to ensure accuracy and reliability.
* Collaborate with product, engineering, and business teams to understand requirements and deliver relevant analyses.
* Conduct statistical analysis and build models to support forecasting, segmentation, or performance measurement.
* Test hypotheses and interpret results to inform strategic and operational decisions.
* Document analytical methods, assumptions, and findings for transparency and reproducibility.
Ideal Profile:
* You possess an advanced degree, ideally a PHD, in Mathematics, Statistics, Computer Science or a related field.
* You have at least 7 years of experience, ideally within a Data Scientist role.
* Strong expertise in Python, R, or similar languages, and data science libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch).
* Advanced knowledge of statistical modelling, predictive analytics, machine learning, and AI techniques.
* Experience working with large, complex datasets and building scalable data pipelines.
* Strong SQL and database skills, with experience in data warehousing or cloud-based data platforms (AWS, GCP, Azure).
* Proven experience deploying models into production and monitoring performance at scale.
What's on Offer?
* Flexible working options
* Opportunity to make a positive impact
* Great work environment