Lead Data Scientist - Financial Services

Placements24; East London; Hybrid; ZAR 2,447,000 - 3,426,000; Full time

Benefits offered by this job

Remote work flexibility

Performance bonuses

Learning budget

Job summary

Placements24 is seeking a visionary Lead Data Scientist to shape the data strategy and mentor a global team of data scientists in a fully remote role. You will develop predictive models that drive business value across financial services and collaborate with stakeholders to turn analytics into actionable insights.

You will lead fraud detection, customer segmentation, and risk assessment initiatives, while staying at the forefront of AI and machine learning advances in a fast-paced remote

Qualifications

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 8 years of experience in data science, with at least 3 years in a leadership or team lead role.
• Proven expertise in programming languages such as Python or R, and deep learning frameworks.
• Strong experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Excellent understanding of machine learning, statistical modeling, and data mining techniques.
• Outstanding problem-solving abilities and communication skills, with the ability to explain technical concepts to non-technical audiences.

Responsibilities

• Lead the development and implementation of advanced statistical models and machine learning algorithms.
• Mentor and guide a team of data scientists, fostering a culture of innovation and technical excellence.
• Collaborate with business stakeholders to identify opportunities for data science to solve complex challenges.
• Design and execute data mining and analysis projects, translating complex findings into actionable business insights.
• Develop and deploy predictive models for areas such as fraud detection, customer segmentation, and risk assessment.
• Stay current with the latest advancements in data science, AI, and machine learning.

Skills

Python

R

Deep Learning

Big Data

Education

Ph.D. or Master's in Data Science

Tools

Spark

Hadoop

AWS

Job description

About the Role

Our client is seeking a visionary Lead Data Scientist to spearhead their data analytics and machine learning initiatives, operating in a fully remote capacity. This leadership role involves defining the data science strategy, mentoring a team of data scientists, and building sophisticated predictive models that drive business value in the financial services sector. You will leverage advanced analytics, AI, and machine learning techniques to uncover insights, optimize processes, and develop innovative data-driven products, making a significant impact from wherever you are located.

Key Responsibilities

• Lead the development and implementation of advanced statistical models and machine learning algorithms.
• Mentor and guide a team of data scientists, fostering a culture of innovation and technical excellence.
• Collaborate with business stakeholders to identify opportunities for data science to solve complex challenges.
• Design and execute data mining and analysis projects, translating complex findings into actionable business insights.
• Develop and deploy predictive models for areas such as fraud detection, customer segmentation, and risk assessment.
• Stay current with the latest advancements in data science, AI, and machine learning.

Requirements

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 8 years of experience in data science, with at least 3 years in a leadership or team lead role.
• Proven expertise in programming languages such as Python or R, and deep learning frameworks.
• Strong experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Excellent understanding of machine learning, statistical modeling, and data mining techniques.
• Outstanding problem-solving abilities and communication skills, with the ability to explain technical concepts to non-technical audiences.

Benefits

• Highly competitive salary and significant performance-based bonuses.
• Comprehensive medical, dental, and vision insurance.
• Full remote work flexibility, allowing for global talent acquisition.
• Generous budget for professional development, conferences, and learning resources.
• Opportunity to lead cutting-edge data science projects and shape the future of financial technology.