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 :
Qualification
- Information Studies or Information Technology Degree
Experience
- 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 and 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 and experience in technical business intelligence
- Knowledge of IT infrastructure and data principles project management experience and 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
Technical Competencies
- Data Analysis
- Data Integrity
- Database Administration
- Research and Information Gathering
- Knowledge Classification
Remote Work :
No
Employment Type :
Full-time
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...
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 :
Qualification
- Information Studies or Information Technology Degree
Experience
- 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 and 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 and experience in technical business intelligence
- Knowledge of IT infrastructure and data principles project management experience and 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
Technical Competencies
- Data Analysis
- Data Integrity
- Database Administration
- Research and Information Gathering
- Knowledge Classification
Remote Work :
No
Employment Type :
Full-time
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