Mission/ Core purpose of the Job:
To determine insights and develop statistical models from large quantities of structured and unstructured data to shape or meet specific business needs and goals.
Training- Data science and advanced analytics.
- Data base modelling and data warehousing principles (SQL)
- Big data tools (Spark Hive etc)
- Strong Programming skills (R SAS Python C Java etc)
- Computer software development
- Data Visualisation (Power BI Tableau etc.)
- Solution automation
- Public GIT and Kaggle profiles a major plus
- Azure GCP or other cloud solutions
Key Job ResponsibilitiesTactical Implementation- Align all operational activities undertaken in the department to the BRIGHT strategy objectives
- Drive best practice iterative improvement and innovation
- Provide recommendations to various business units and influences future plans based on insights
Data Modelling- Research and develop custom data models and algorithms to apply to data sets
- Design data science approach applying tried-and-true techniques or developing custom algorithms as needed by the business problem
- Lead multiple analytic project teams by serving as the senior technical thought leader for project teams; working with various business units to translate project goals into data analytic model
- Build predictive and data mining models with high dimensional and dynamic data and conduct analysis through the project life cycle
- Effectively communicate and interpret model results for business LLM Model prototypes and incorporating OpenAI prototypes in solutions
Data Analysis- Utilise Big Data analytics and advanced data mining techniques to analyse data and extract meaningful business insights and the story behind the pattern.
- Code test and maintain analytical software tools
- Investigate adversarial trends identify behavior patterns and respond with agile logic change
- Perform analytical tasks such as text mining and sentiment analysis using Big Data techniques and algorithms.
- Analyse data from company databases to drive optimisation and improvement
Education / Business Degree- Honours degree in relevant field
- Minimum of 3-year tertiary degree in (STEM); Engineering Computer Science Mathematics Statistics Biological Sciences or related quantitative field
Work Experience- Minimum of 5 years experience in a data science environment with experience in model development interpretation and deployment.
- Practical experience with and theoretical understanding of algorithms for classification regression clustering and anomaly detection
- Management experience beneficial.
- Experience working in a medium to large organisation
- Worked across diverse cultures and geographies advantages
Required Experience:
Senior IC
Mission/ Core purpose of the Job:To determine insights and develop statistical models from large quantities of structured and unstructured data to shape or meet specific business needs and goals.TrainingData science and advanced analytics.Data base modelling and data warehousing principles (SQL)Big ...
Mission/ Core purpose of the Job:
To determine insights and develop statistical models from large quantities of structured and unstructured data to shape or meet specific business needs and goals.
Training- Data science and advanced analytics.
- Data base modelling and data warehousing principles (SQL)
- Big data tools (Spark Hive etc)
- Strong Programming skills (R SAS Python C Java etc)
- Computer software development
- Data Visualisation (Power BI Tableau etc.)
- Solution automation
- Public GIT and Kaggle profiles a major plus
- Azure GCP or other cloud solutions
Key Job ResponsibilitiesTactical Implementation- Align all operational activities undertaken in the department to the BRIGHT strategy objectives
- Drive best practice iterative improvement and innovation
- Provide recommendations to various business units and influences future plans based on insights
Data Modelling- Research and develop custom data models and algorithms to apply to data sets
- Design data science approach applying tried-and-true techniques or developing custom algorithms as needed by the business problem
- Lead multiple analytic project teams by serving as the senior technical thought leader for project teams; working with various business units to translate project goals into data analytic model
- Build predictive and data mining models with high dimensional and dynamic data and conduct analysis through the project life cycle
- Effectively communicate and interpret model results for business LLM Model prototypes and incorporating OpenAI prototypes in solutions
Data Analysis- Utilise Big Data analytics and advanced data mining techniques to analyse data and extract meaningful business insights and the story behind the pattern.
- Code test and maintain analytical software tools
- Investigate adversarial trends identify behavior patterns and respond with agile logic change
- Perform analytical tasks such as text mining and sentiment analysis using Big Data techniques and algorithms.
- Analyse data from company databases to drive optimisation and improvement
Education / Business Degree- Honours degree in relevant field
- Minimum of 3-year tertiary degree in (STEM); Engineering Computer Science Mathematics Statistics Biological Sciences or related quantitative field
Work Experience- Minimum of 5 years experience in a data science environment with experience in model development interpretation and deployment.
- Practical experience with and theoretical understanding of algorithms for classification regression clustering and anomaly detection
- Management experience beneficial.
- Experience working in a medium to large organisation
- Worked across diverse cultures and geographies advantages
Required Experience:
Senior IC
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