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.
Responsibilities:
- 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