Scientist, Data at Standard Bank - UK

Mbabane, Hhohho Region, Eswatini -

Full Time

Start Date

Immediate

Expiry Date

17 Aug, 26

Salary

0.0

Posted On

19 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Mining, Statistical Analysis, Machine Learning, Data Visualisation, Software Engineering, ETL, Credit Scoring, Propensity Modeling, Churn Modeling, Technical Business Intelligence, Project Management, Data Architecture

Industry

Financial Services

Description

Company Description Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you. Job Description Assist in applying data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena. Model business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques, working closely with clients, data and technology teams to turn data into critical information used to make sound business decisions. Qualifications Type of Qualification: First Degree Field of Study: Information Studies Type of Qualification: First Degree Field of Study: Information Technology Experience Required Data Monetisation Data & Analytics 3-4 years Experience in working with unstructured data (e.g. Streams, images) Understanding of data flows, data architecture, ETL and processing of structured and unstructured data. Using data mining to discover new patterns from large datasets. Implement standard and proprietary algorithms for handling and processing data. Experience with common data science toolkits, such as SAS, R, SPSS, etc. Experience with data visualisation tools, such as Power BI, Tableau, etc. 3-4 years Proven development experience in software and software engineering. Understanding of financial services data processes, systems, and products. Experience in technical business intelligence. Knowledge of IT infrastructure and data principles. Project management experience. Experience in building models (credit scoring, propensity models, churn, etc.) Additional Information Behavioural Competencies: Adopting Practical Approaches Articulating Information Challenging Ideas Checking Things Examining Information Exploring Possibilities Interacting with People Interpreting Data Meeting Timescales Producing Output Providing Insights Team Working Technical Competencies: Data Analysis Database Administration Data Integrity Knowledge Classification Research & Information Gathering Business Segment: Personal & Private Banking

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Responsibilities

Apply data mining and statistical analysis to large datasets to discover business insights and opportunities. Collaborate with clients and technology teams to build models and turn data into critical information for business decisions.