Data Scientist

Key Responsibilities:

·      Ability to be a hand-on lead for analytics and software engineering teams.

·      Analyze complex data sets to identify trends, patterns, and actionable insights.

·      Design, Develop, and maintain dashboards and reports to communicate findings to stakeholders.

·      Partner with other technology and business stakeholder to support business initiatives and data-driven strategies.

·      Design and implement data models and algorithms for predictive analysis.

·      Present analytical findings and recommendations to management and key decision-makers.

·      Ability to use JIRA and other project management tools, as the technology lead.

Required Skills and Qualifications:

·      At least 7 years of experience in data science, data analysis or a related field.

·      Proficiency in data manipulation tools and ETL tools (SQL). Fluency in PySpark is a plus.

·      Proficiency with data analysis tools (e.g., SQL, Python, R) and visualization software (e.g., Tableau, Power BI).

·      Strong analytical skills with experience in statistical methods and modelling techniques.

·      Excellent communication skills, both verbal and written, with the ability to convey complex data insights to non-technical stakeholders.

·      Experience in retail or investment banking is a plus.