Senior Data Scientist - Machine Learning in Finance

Placements24; Randburg; Hybrid; ZAR 1.200.000 - 1.800.000; Vollzeit

Benefits dieser Stelle

Fully remote work arrangement

Flexible hours

Health and wellness benefits

Annual leave and paid time off

Budget for professional development

Bonus program

Zusammenfassung

Placements24 is seeking a Senior Data Scientist in South Africa to design, develop, and deploy advanced ML models for financial tech applications from a fully remote setup. You will mentor juniors, collaborate with data engineers and stakeholders, and stay ahead of AI advances to translate insights into business value.

The role requires 5–7 years of ML-focused experience, strong programming skills in Python or R, and expertise with cloud platforms and big data tools.

Qualifikationen

• 5-7 years of professional data science experience with a focus on machine learning
• Strong knowledge of ML algorithms and statistical modeling
• Proficiency in Python or R and ML libraries
• Experience with big data tools and cloud platforms
• Excellent communication and mentoring skills

Aufgaben

• Design and deploy ML models for fraud detection, credit scoring, algorithmic trading, and customer segmentation
• Clean and analyze large, complex datasets from multiple sources
• Perform EDA to identify trends and insights
• Evaluate models using appropriate metrics and refine them
• Collaborate with data engineers to deploy models to production and monitor performance
• Stay updated on ML/AI advances and communicate findings clearly
• Mentor junior data scientists and foster a data-driven culture
• Identify new opportunities to apply data science to business problems

Kenntnisse

Machine learning expertise

Analytical thinking

Communication skills

Ausbildung

Master's or PhD in a quantitative field

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

SQL

Pandas

Spark

AWS

Azure

GCP

Jobbeschreibung

About the Role

Our client, a cutting-edge financial technology firm, is seeking an accomplished Senior Data Scientist with expertise in Machine Learning to join their innovative team. This role offers the flexibility of being fully remote, allowing you to contribute to groundbreaking projects from anywhere in South Africa . You will be instrumental in developing and deploying advanced machine learning models to drive key business decisions, enhance customer experiences, and optimize financial operations. This position requires a deep understanding of statistical modeling, data mining, and ML algorithms, coupled with strong programming skills and a passion for applying these techniques to complex financial challenges. You will collaborate with data engineers, product managers, and business stakeholders to translate data insights into tangible business value. Join our client and be at the forefront of leveraging data science to revolutionize the financial industry.

Key Responsibilities

• Design, develop, and implement sophisticated machine learning models for applications such as fraud detection, credit scoring, algorithmic trading, and customer segmentation.
• Clean, process, and analyze large, complex datasets from various sources.
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights.
• Evaluate model performance using appropriate metrics and iteratively refine models for optimal results.
• Collaborate with data engineers to deploy models into production environments and monitor their performance.
• Stay current with the latest advancements in machine learning, AI, and data science techniques.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Mentor junior data scientists and contribute to building a data-driven culture.
• Identify new opportunities to apply data science and machine learning to solve business problems.

Requirements

• Master's or PhD degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Minimum of 5-7 years of professional experience as a Data Scientist, with a strong focus on machine learning applications.
• Proven expertise in machine learning algorithms (e.g., regression, classification, clustering, deep learning) and statistical modeling.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data manipulation and analysis tools (e.g., SQL, Pandas, Spark).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and presentation skills, with the ability to explain complex concepts.
• Experience in the financial services or fintech industry is highly desirable.

Benefits

• Excellent annual salary package up to ZAR , depending on experience.
• Performance-based bonus structure.
• Comprehensive health and wellness benefits.
• Generous annual leave and paid time off.
• Budget for professional development, training, and conference attendance.
• Fully remote work arrangement with flexible hours.
• Opportunity to work on challenging and impactful data science projects in the finance sector.
• Collaborative and innovative work environment.