Back to Job Search

Job Description

My client is an established player in the Financial Services sector.

​The data scientist will be expected to deliver on group-level data science projects and initiatives to drive business performance. This role works with key stakeholders such as members of the management team to implement data science solutions.


  • Develop and improve machine learning models for the business.

  • Implement and drive the adoption of analytics insights in current and new business processes, as an advocate for analytics and insights.

  • Be involved in the development of data products in the team and visualisation dashboards to monitor outcomes of the models.

  • Understand and take accountability for business risks in relation to data science and implement best practices to mitigate risks.

What the ideal candidate looks like:

  • Mathematical/technical academic background - for example, a Master's or PhD in analytics, statistics, computer science etc.

  • 5 or more years of experience in Data Scientist roles, in Banking & Finance / Insurance domain preferred.

  • Proficiency in Python, SQL programming is required.

  • Working knowledge in ML techniques and statistical techniques, such as regression, random forest, text mining.

  • Exposure to Scikit-learn, numpy, tensorflow and other open-source libraries is required.

  • Soft skills: stakeholder management, teamwork and accountability