Company
DataScientist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist. Skills: Data Analytics, Machine Learning. 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
Industry & Context.
Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents
What They're Looking For.
Must Have
Experience performing quantitative analysis given a defined scope and translating results into meaningful business insights, Ability to adapt and appreciate changing business contexts, Ability to identify and learn emerging DS and AI tools and technologies and utilise them to deliver practical business be a self explorer, Experience on Python, SQL, and ability to work with large and complex data, Knowledge of best practices in data storage, retrieval, and manipulation and data visualization techniques, Recognised degree/ certification in STEM discipline, 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
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science
How You'll Work.
Team & Collaboration
Collaborate with business stakeholders; Partner with other functions and business areas; Takes responsibility for end results of a team’s operational processing and activities; Advise and influence decision making within own area of expertise; Guide and persuade team members and communicate complex / sensitive information; Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation
Communication Scope
verbal and written communication skills; ability to interface with Business and CCO teams; Guide and persuade team members and communicate complex / sensitive information
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. **Analyst Expectations** * To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. * Requires in-depth technical knowledge and experience in their assigned area of expertise * Thorough understanding of the underlying principles and concepts within the area of expertise * They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. * 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 develop technical expertise in work area, acting as an advisor where appropriate. * W
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