Description:
Lead the Future of Data Science in Fintech! Are you a data-driven innovator ready to build and lead a world-class analytics function? We’re looking for a Data Science Lead to drive business intelligence, machine learning, and strategic decision-making. If you thrive in a fast-paced fintech environment, this is your chance to make a real impact!What You’ll Do:
- Develop & implement business intelligence models to enhance decision-making.
- Analyze large datasets using Python & machine learning techniques to uncover insights.
- Design & maintain scalable data infrastructure for real-time analytics.
- Collaborate with engineering, product, and operations teams to integrate data-driven insights.
- Translate complex data into actionable strategies for senior stakeholders.
- Define best practices for data governance, quality, and compliance.
What You Bring:
- 5+ years of experience in data science, with a focus on BI, analytics, or operational decision-making.
- Expertise in Python (Pandas, NumPy, Scikit-Learn) and data visualization tools.
- Experience with large datasets and databases (SQL, Snowflake, BigQuery, or similar).
- Strong statistical & machine learning knowledge.
- Leadership experience or a strong desire to build and manage a team.
- Excellent communication skills —able to translate data insights for non-technical stakeholders.
Nice to Have
- Experience in credit risk modeling, alternative credit scoring, or financial data analysis .
- Familiarity with cloud-based data platforms (AWS, GCP, or Azure).
- Knowledge of BI tools (Power BI, Tableau, Looker).
- Experience with A/B testing & experimentation frameworks .
How to Apply:
If you meet the above requirements, please send your resume DIRECTLY to : kmongalo@networkfinance.co.za
For more finance jobs, please visit our website: www.networkrecruitmentinternational.com
If there is no reply within two weeks, please assume that your application for the vacancy was unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.
We also invite you to reach out to us to discuss your next finance career opportunity!
Requirements:
- Develop & implement business intelligence models to enhance decision-making.
- Analyze large datasets using Python & machine learning techniques to uncover insights.
- Design & maintain scalable data infrastructure for real-time analytics.
- Collaborate with engineering, product, and operations teams to integrate data-driven insights.
- Translate complex data into actionable strategies for senior stakeholders.
- Define best practices for data governance, quality, and compliance.
- 5+ years of experience in data science, with a focus on BI, analytics, or operational decision-making.
- Expertise in Python (Pandas, NumPy, Scikit-Learn) and data visualization tools.
- Experience with large datasets and databases (SQL, Snowflake, BigQuery, or similar).
- Strong statistical & machine learning knowledge.
- Leadership experience or a strong desire to build and manage a team.
- Excellent communication skills —able to translate data insights for non-technical stakeholders.
- Experience in credit risk modeling, alternative credit scoring, or financial data analysis .
- Familiarity with cloud-based data platforms (AWS, GCP, or Azure).
- Knowledge of BI tools (Power BI, Tableau, Looker).
- Experience with A/B testing & experimentation frameworks .
10 Mar 2025;
from:
careers24.com