Remote Data Scientist: Mining Analytics & Ml Insights

Placements24; Gauteng; Remote; ZAR 900,000 - 1,300,000; Full time

Job summary

Placements24 is seeking a Senior Data Scientist with a finance focus for a fully remote role. You will leverage advanced analytics, machine learning, and statistical modeling to solve complex financial challenges and drive data-informed decisions within a leading financial institution.

You will design predictive models, optimize financial strategies, and extract actionable insights from vast datasets while collaborating with cross-functional teams in a remote-first environment.

Responsibilities

• Design, develop, and implement sophisticated machine learning models and statistical algorithms to address financial forecasting, risk assessment, fraud detection, and customer analytics.
• Analyze large, complex datasets from various sources to identify trends, patterns, and insights that drive business value.
• Collaborate closely with product managers, engineers, and business stakeholders to understand requirements and translate them into data science solutions.
• Build and maintain robust data pipelines and data infrastructure required for model training and deployment.
• Develop and track key performance indicators (KPIs) to measure the effectiveness of models and strategies.

Job description

Senior Data Scientist - Finance - Remote

About the Role Our client is seeking a highly experienced Senior Data Scientist with a strong background in finance to join their cutting-edge, fully remote data science team. This role is ideal for a professional who is passionate about leveraging advanced analytics, machine learning, and statistical modeling to solve complex financial challenges. You will be instrumental in developing predictive models, optimizing financial strategies, and extracting actionable insights from vast datasets. This is a remote-first position, requiring excellent self-management, collaboration, and communication skills. You will work with diverse data sources and collaborate with cross-functional teams to drive data-informed decision-making within a leading financial institution.

Key Responsibilities

• Design, develop, and implement sophisticated machine learning models and statistical algorithms to address financial forecasting, risk assessment, fraud detection, and customer analytics.
• Analyze large, complex datasets from various sources to identify trends, patterns, and insights that drive business value.
• Collaborate closely with product managers, engineers, and business stakeholders to understand requirements and translate them into data science solutions.
• Build and maintain robust data pipelines and data infrastructure required for model training and deployment.
• Develop and track key performance indicators (KPIs) to measure the effectiveness of models and strategies.