Overview
We are seeking a Senior Data Scientist to play a key role in developing and deploying analytical solutions that drive decision-making for leading organizations globally. This position involves taking full ownership of the solution lifecycle, engaging with complex quantitative challenges, and transforming data into actionable insights. The ideal candidate will collaborate closely with stakeholders, bridging technical analysis with business needs, while working in a hybrid setting with a focus on innovative problem-solving.
Responsibilities
- Design, develop and deploy production-grade data science and machine learning solutions.
- Own the full delivery lifecycle from concept, data acquisition and modelling through to deployment and operational support.
- Build robust, scalable and maintainable Python applications suitable for enterprise environments.
- Develop forecasting models, predictive analytics solutions and quantitative methodologies.
- Implement testing, validation and monitoring processes to ensure model quality and reliability.
- Contribute to CI/CD pipelines, code quality standards and engineering best practices.
- Communicate analytical findings and recommendations to both technical and non-technical stakeholders.
- Support ongoing enhancement of production systems, ensuring governance and operational resilience.
Requirements
- Minimum 7 years' commercial experience in Data Science, Machine Learning or Quantitative Development.
- Strong Python development skills with experience building production-ready applications.
- Proven experience delivering analytical solutions into live production environments.
- Strong understanding of statistical modelling, machine learning techniques and model evaluation methodologies.
- Experience with time series analysis, forecasting, classification, regression and clustering techniques.
- Strong SQL and data manipulation skills.
- Exposure to cloud platforms, containerisation and modern deployment practices.
- Excellent communication skills with the ability to engage effectively with both technical and business stakeholders.