Data Scientist

Responsibilities Include:
Test our new analytical cloud services and work with Technology colleagues to address user pain points.
• Support business users with scoping, on-boarding and delivery of their use cases for our on prem Data & Analytics Platform and new cloud Enterprise Data Platform.
• Lead the delivery of pipelines that ingest, store and analyse data, ensuring that data and analysis are accessible.
• Develop capabilities to support enterprise use of our Platforms.
• Upskill business users in analytical standards and data science tools and techniques.
• Build and productize pipelines.
• Develop and manage use cases.
• Conduct internal skills mapping for technologies such as R, Python, Azure, Machine Learning (ML), and Databricks.

Essential criteria and experience
Proficiency in one or more analytical tools e.g. R, Python, Tableau, Apache Spark, etc.
• Proficiency in Azure Machine Learning and Azure DataBricks.
• Pro-activity and self-starting attitude.
• Excellent analytical and problem-solving ability.
• Interest in data science techniques and understanding of how to use them to answer real-world questions.
• Knowledge and experience of how to maintain data, tools and processes to generate reproducible analysis and implement robust and valuable data solutions.
• Experience of leading data science work within a team environment.
• Strong written and verbal communication skills to engage effectively with stakeholders at a range of seniorities and knowledge levels.
• An open and collaborative approach in order to foster strong positive partnerships with colleagues all over the organisation.

Desirable Criteria
Experience in delivering Data Science to a wider community
• Change management experience.
• Ability to teach others Data Science techniques and tools.
• Good working knowledge of Jira & Confluence or similar packages.