Data Scientist
DataScientist-QAAutomation
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist - QA Automation at Data Scientist. Skills: Data Science, QA Automation. Identification, collection, extraction of data from various sources, including internal and external sources.. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.”
What You'll Achieve.
improve operational efficiency; drive innovation across the organisation.; inform strategic decision-making; deliver on work that impacts the whole business function.; deliver to a consistently excellent standard.; meet required outcomes.
Industry & Context.
Creative solutioning skills; solve problems creatively and effectively.
What They're Looking For.
Must Have
Creative solutioning skills – able to formulate and execute a strategy where a playbook may not exist., Experience in influencing senior, Experience training end users in data science and analytics technologies, Experience on Python, SQL, and ability to work with large and complex data., Hands-on experience on supervised/unsupervised models, along with Model design, deployment and optimization.
Nice to Have
Recognised degree/ certification in STEM discipline, Experience working with Spark, Alteryx, Tableau/Power BI and Cloud based platform., verbal and written communication skills, and ability to interface with Business and CCO teams.
What You'll Do.
extraction of data from various sources
including internal and external sources.
Performing data cleaning
and transformation to ensure its quality and suitability for analysis.
Development and maintenance of efficient data pipelines for automated data acquisition and processing.
Design and conduct of statistical and machine learning models to analyse patterns
and relationships in the data.
Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
How You'll Work.
Team & Collaboration
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.; Collaborate closely with other functions/ business divisions.; Lead a team performing complex tasks; If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard.; OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments.; They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.; Consult on complex providing advice to People Leaders to support the resolution of escalated issues.; Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.; Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.; Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc). to solve problems creatively and effectively.
Communication Scope
verbal and written communication skills; ability to interface with Business and CCO teams.; Communicate complex information.
Process & Methodology
formulate and execute a strategy where a playbook may not exist.
Full Job Description
# **Job Description** **Purpose of the role** To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. **Accountabilities** * Identification, collection, extraction of data from various sources, including internal and external sources. * Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. * Development and maintenance of efficient data pipelines for automated data acquisition and processing. * Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. * Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. * Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. **Assistant Vice President Expectations** * To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. * Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes * If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. * OR for an individual contributor, they will lead collaborati
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