About the Role
As a Data Scientist in GovTech’s Data Science & Artificial Intelligence Division, you will be part of the Data Analytics Readiness Team. Your primary role will be identifying opportunities for data exploitation through in-depth conversations with business stakeholders within GovTech. You will scope out data science projects with clear, actionable, and impactful deliverables, executing them in close iteration with stakeholders. You should be an excellent communicator capable of engaging stakeholders to sharpen business problems, obtain feedback, and share findings to influence actionable outcomes. Proficiency in data manipulation, data modelling, and data visualisation is crucial, as is the ability to select the most appropriate tools and techniques for each business use case. You are expected to be a problem solver with strong analytical skills, capable of delivering sound data science solutions.
What you will be working on:
- Facilitate discussions with stakeholders to understand their business challenges, sharpen business use cases, and translate them into data science projects.
- Perform data cleaning, pre-processing, feature engineering, and build data science models to address the use case.
- Depending on the use case, design dashboards and interactive visualisations as tools for data exploration and storytelling may be expected.
- Present findings, solicit feedback, and prioritise refinements to the analysis in close iteration with stakeholders while managing the overall project timeline.
- Communicate data insights in a clear and compelling narrative, supported with impactful visuals, to influence key decision makers.
What we are looking for:
- Disciplines in Data Science, Computer Science, Statistics, Economics, Quantitative Social Science, or related qualifications. Relevant certifications (e.g. Coursera) will also be considered.
- Minimum 4 years of experience working in the public sector or data science field.
- Knowledgeable in data science techniques and concepts, with a sound understanding of their potentials and limitations when applied to business use cases.
- Familiar with machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.
- Experience in a production environment where models are deployed is a bonus.
- Experience in leading data science projects.
- Training and relevant experience in Data Science tools that use Python (proficiency in R is a bonus) and Tableau for visual analytics (proficiency in Qlik and PowerBI is a bonus).