Beschreibung
Role purpose
Responsible for developing predictive models with large and varied datasets, the Data Scientists will be co-creating advanced analytics products that provide actionable business insight to the client and its stakeholders.
The Data Scientist will work with a global community of colleagues across advanced analytics, technology and customer functions and will be a contributor to the wider community, supporting the enablement of the advanced analytics capability.
Key accountabilities and decision ownership
- Use a variety of datasets to test hypothesis, discover hidden relationships and provide actionable insights
- Design, develop and test analytic models to industrialise insight into operations
- Use data visualisation to engage audiences in a compelling way
- Contributes to the development of self and others across the global community
Core competencies, knowledge and experience
- Professional and/or academic experience in Big Data analytics & deployment of models and algorithms to solve real-world problems (with deep statistical modelling expertise)
- Experience manipulating and analysing large and complex datasets
- Experience in visualisation, creating graphical static and interactive displays of data that clearly communicate insight (preferred)
- Good interpersonal and presentation skills and ability to work in a fast-paced environment across multinational teams
Must have technical/professional qualifications
- Bachelor's or Master's Degree in a quantitative field
- Expertise in data manipulation: use of structured data tools (eg, SQL), & unstructured data tools and platforms (eg, Hadoop, Spark, NoSQL)
- Proficiency in Python and one more language would it preferred
- Expertise in major statistical modelling software packages and multivariate techniques (eg clustering, regression, classification, time-series forecasting)
- Experience in digital data sets, eg, social listening, social network analysis
- Familiarity with visualisation tools (eg Tableau, Qlik, D3)
- Area - update