Requirements:
1.Bachelor/Masters in Statistics, Information Engineering, Computer Science or Mathematics
2.1-2 years working experience
3.Working experience in Data Science, data analytics, statistical modelling or machine learning, preferably in banking, or financial services industry is preferred
4.Machine Learning certificates preferred
5. [Must have] - Strong demonstrated coding in Python, SQL and by extension, PySpark
6.Excellent communication skills in English
7.Good business acumen and strong analytical skills
8.Results oriented and customer centric
9.Open and collaborative
10.[Must have] - Good fundamentals in data science
11.[good to have] - Good understanding of driving value from using ML required for communication with stakeholders
12.[good to have] - Good understanding of knowledge
Responsibilities:
1.Support country to achieve data driven decision organization
2.Conduct analytics modelling to generate business insights.
How you can contribute
1.Understand business needs and design modelling methodology
2.Conduct data sourcing, integrate necessary data
3.Conduct data discovery and data transformation
4.Build models to find best optimal and test model
5.Drive model execution
6.Model review and optimization