Data Scientist

About Standard Chartered
We are a leading international bank focused on helping people and companies prosper across Asia, Africa and the Middle East. To us, good performance is about much more than turning a profit. It's about showing how you embody our valued behaviours - do the right thing, better together and never settle - as well as our brand promise, Here for good. We're committed to promoting equality in the workplace and creating an inclusive and flexible culture - one where everyone can realise their full potential and make a positive contribution to our organisation. This in turn helps us to provide better support to our broad client base.

THE ROLE RESPONSIBILITIES

• You will be responsible for identifying and designing Data Science models by application of Machine Learning and Artificial Intelligence on various datasets to solve business problems.
• You will be responsible for analytics and business interpretation of developed models to present results and recommendations of your analysis to various stakeholders.
• You will be cooperating with internal clients (both technical and non-technical) from various Bank departments to define project requirements and adjust analytics solution to the business needs.
• You will be working together with your teammates to enhance problem solving and apply critical thinking during development of advanced analytics solutions.

OUR IDEAL CANDIDATE

• 3+ years of experience in Data Science field.
• Preferably higher education in one of the following fields: Math / Quantitative Methods / Econometrics / Information Systems, Physics.
• Fluency in at least one of the following programming languages: Python or R.
• Practical Experience in Econometrics modelling, Machine Learning (classification, regression), Natural Language Processing, optimization algorithms, segmentation methods, time-series analysis.
• Experience in relational databases using SQL and Big Data platforms (e.g. Spark).
• Experience in visualising insights and presenting to the stakeholders.
• Experience with Version Control Systems (e.g. GIT).
• Independence in delivering end-to-end analytics solutions (through cooperation with other data related teams).
• Experience in model deployment in production.
• Problem solving skills, analytical thinking & critical thinking approach.