Job-specific competencies

Experience & knowledge

• High performing experience in data science and data analysis
• Strong understanding of statistical techniques and their application, including GLMs, decision trees, random forest, boosting, natural language processing, distributions, clustering, simulation and scenario analysis
• Knowledge of data platforms, and data processing including batch and real-time automation, and methods to optimise efficient processing
• Experience of utilising system integration techniques such as APIs, web services
• Knowledge of data structures and schemas, data preparation and cleansing
• Experience with machine learning techniques and libraries
• Knowledge of data science toolkits and languages, such as R, Python, Scala
• Experience of data exploration and visualisation tools
• Strong knowledge of data query languages, such as SQL, HiveQL, scripting
• Knowledge of data integration services and ETL
• Analytical and problem-solving aptitude
• Understanding of a service-based approach to professional services.
• Experience delivering through Agile change framework

Skills & Qualifications

• Good communication skills, both verbal and written
• Good time management and organisation skills
• Proven analytical and statistical modelling skills
• Degree in Data Science or other quantitative field

Behaviours

• Self-motivated and enthusiastic with the desire to meet or exceed targets
• Determined and passionate, particularly regarding data and technology
• Supports development of peers and wider team capability
• A decision maker with an ability to work on own initiative or as part of a team
• Takes accountability and ownership of problems and solutions
• A flexible approach and positive attitude
• Strives to drive business improvements contributing to the success of the business
• An organised and proactive approach
• Role model for other team member