
Senior Data Science Professional
1 week ago
Lead a high-impact team of data science professionals in the design, development, and delivery of advanced models and projects. Ensure alignment with strategic business goals and measurable outcomes.
Responsibilities:- Develop and execute end-to-end data science solutions using Python, SQL, Spark, and Databricks on Azure to drive business growth and improvement.
- Collaborate with stakeholders to identify opportunities, define problems, and implement effective solutions that meet business objectives.
- Provide mentorship and guidance to junior and mid-level data scientists on modelling techniques, machine learning engineering practices, governance, and business alignment.
- Design and maintain scalable data pipelines and architectures to ensure reliable access for analytics and ML use cases.
- Apply A/B testing, optimisation techniques, and causal inference to generate insights that inform key business decisions.
- Implement robust MLOps practices, including model versioning, automated retraining, and performance monitoring.
- Prototype solutions in advanced domains such as computer vision, optimisation, and generative AI.
- Proven experience building and deploying machine learning models in production environments.
- Proficient in Python, SQL, and Spark; experience with Databricks and Azure preferred.
- Strong foundation in statistics, machine learning, and optimisation methods for experimentation and operational decision-making.
- Familiarity with emerging techniques in computer vision, large language models, or causal inference.
- Ability to communicate technical findings effectively to business and technical stakeholders.
- Experience across the full data science lifecycle, including development, deployment, and MLOps practices.
- 5 weeks annual leave for personal pursuits.
- Hybrid work options for flexibility.
- Support during life's significant moments, including paid parental leave.
- Complimentary access to physiotherapy for non-work related issues.
- Work with a recognised Employer of Choice.
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