Overview
Use innovative data analytics and machine learning techniques to extract valuable insights. Identification, collection, extraction of data from various sources. Performing data cleaning, wrangling, and transformation to ensure 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.
Responsibilities
- Use innovative data analytics and machine learning techniques to extract valuable insights
- Identification, collection, extraction of data from various sources
- Performing data cleaning, wrangling, and transformation to ensure 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
Requirements
- Experience with Statistical analysis and modelling
- Proficiency in applying statistical methods/modelling to data
- Programming in Python
- Ability to code in Python and contribute to codebases
- Data Manipulation
- Experience querying large datasets (SQL/Pyspark)
- Machine learning/AI expertise
- Advanced knowledge of ML/AI algorithms and their applications
- Financial domain knowledge
- Understanding of banking products, risk frameworks, and regulations
- Data visualization
- Ability to create compelling visual representations of complex data insights
ATS Optimization Keywords
Hard Skills
- data analytics
- machine learning
- data cleaning
- data wrangling
- data transformation
- data pipelines
- statistical analysis
- Python
- SQL
- data visualization
Soft Skills
- collaboration
- communication
- problem-solving