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Lead Data Scientist - Fintech

Remote / Online - Candidates ideally in
Sandton, 2172, South Africa
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software)
Job Description & How to Apply Below
About the Role

Our client, a forward-thinking fintech company operating fully remotely, is seeking an experienced Lead Data Scientist to spearhead their advanced analytics initiatives. This role is crucial for driving innovation in financial products and services through the application of sophisticated machine learning models and data-driven insights. You will lead a team of data scientists, mentor junior members, and collaborate closely with engineering and product management to translate complex data into actionable strategies.

This fully remote position is ideal for a seasoned professional who thrives on tackling challenging problems and shaping the future of financial technology from anywhere.

Key Responsibilities
  • Lead the design, development, and deployment of machine learning models for financial forecasting, risk assessment, and customer behavior analysis.
  • Mentor and manage a team of data scientists, providing technical guidance and fostering a culture of innovation.
  • Collaborate with product managers and engineers to integrate data science solutions into core platform features.
  • Define key performance indicators and establish robust evaluation metrics for predictive models.
  • Explore and analyze large, complex datasets to identify trends, patterns, and opportunities for business growth.
  • Present findings and recommendations to executive leadership and cross-functional teams.
Requirements
  • Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 8+ years of experience in data science, with a significant portion in a lead or managerial role .
  • Expertise in machine learning algorithms , statistical modeling, and data mining techniques.
  • Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Tensor Flow, PyTorch, scikit-learn).
  • Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
  • Strong communication and leadership skills, with the ability to articulate technical concepts to non-technical audiences.
Benefits
  • Highly competitive salary and equity options.
  • Fully remote work environment with flexible hours.
  • Comprehensive health, dental, and vision insurance.
  • Generous professional development budget and conference attendance.
  • Opportunity to work on cutting-edge AI/ML projects in the fintech space.
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